From m.biehl at rug.nl Fri Sep 1 07:34:00 2017 From: m.biehl at rug.nl (Michael Biehl) Date: Fri, 1 Sep 2017 13:34:00 +0200 Subject: Connectionists: CFP: Special Session at ESANN 2018 Message-ID: CALL FOR PAPERS *Special Session at ESANN 2018* 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges/Belgium, April 25-27 2017. *Machine Learning and Data Analysis in Astroinformatics* *Organized by M. Biehl, K. Bunte (University of Groningen, The Netherlands), **G. Longo (University of Naples, Italy), P. Tino (University of Birmingham, UK) * The ever-growing amount of data which becomes available in many domains clearly requires the development of efficient methods for data mining and analysis. These challenges occur in a variety of areas including societal issues, business and fundamental scientific research. Astronomy continuous to be at the forefront of this development: Modern observational techniques provide enormous amounts of data, which have to be processed efficiently. The development of methods for their reliable acquisition and analysis has immediate impact on other areas including commercial applications, data security, environmental monitoring etc. This special session is meant to attract researchers who develop, investigate or apply methods of neural networks, machine learning and data analysis in the context of astronomical data. Potential topics include, but are not limited to - big data mining in astronomy - the processing of astronomical images - filtering techniques for streams of astronomical data - outlier and novelty detection in observational data - classification or clustering of celestial objects - simulation of astrophysical models and related - inference problems - the analysis of heterogeneous data stemming from - various sources or technical platforms Important dates: Submission of papers: 20 November 2017 Notification of acceptance: 31 January 2018 ESANN conference: 25 - 27 April 2018 More information can be found at http://www.elen.ucl.ac.be/esann/index.php?pg=specsess#astroinformatics http ://www.esann.org -- ---------------------------------------------------------- Michael Biehl Johann Bernoulli Institute for Mathematics and Computer Science P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From dominik.endres at uni-marburg.de Fri Sep 1 06:08:54 2017 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Fri, 01 Sep 2017 12:08:54 +0200 Subject: Connectionists: PhD position in human (deep) learning Message-ID: <2515691.jotfgvf471@pc04174> PhD position available in project 2 of the Research Training Group 2271 funded by the DFG (German Research Foundation) at the University of Marburg, Germany In this project, we will investigate whether individual humans are Bayesian (deep) learners under naturalistic conditions (virtual reality), in contrast to the widely studied population averages under impoverished laboratory conditions. Specifically, we will determine whether Bayesian learning dynamics models are better able to predict human learning on a trial-by-trial basis than traditional associative learning models. For this purpose, we will concentrate on ?retrospective revaluation?, as we expect model differences to prominent here. Project #2 focuses on the theory component of the tandem project, project #12 concentrate on the experimental testing in human behavioral experiments. The Research Training Group (RTG) 2271 ?Expectation Maintenance vs. Change in the Context of Expectation Violations: Connecting Different Approaches? is funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG). The overarching goal of this RTG is to investigate why and when organisms (humans, animals) change or maintain generalized expectations in the face of disconfirming evidence. APPLICATION DEADLINE: September 22, 2017 See also: https://www.uni-marburg.de/fb04/forschung/phdprogram/jobadverts -- Prof. Dr. Dominik Endres AE Theoretische Neurowissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818 From samarasinghe at ini.rub.de Fri Sep 1 09:30:20 2017 From: samarasinghe at ini.rub.de (samarasinghe at ini.rub.de) Date: Fri, 1 Sep 2017 15:30:20 +0200 Subject: Connectionists: Doctoral student position - Robot-assisted modeling of spatial navigation paradigms in biological organisms - DEADLINE EXTENDED Message-ID: <55032c11-b6cd-417d-1df3-16cd56c0af53@ini.ruhr-uni-bochum.de> Please note that the deadline for applications to the position below has been extended to *15.09.2017*. *Research **Position **at the Institute for Neural Compu**ta**ti**o**n * A position as *d**octoral student **in integrative **n**euroscience and **c**ognitive **s**cience *is available immediately in the group of Prof. Sen Cheng in the Institute for Neural Computation at the Ruhr University Bochum, Germany. The research will focus on robot-assisted modeling of spatial navigation paradigms in biological organisms. Robotic simulations, as well as, physical robots will be used to develop and evaluate the desired models. The position will be funded at 50% of the standard salary scale TV-L E13. It is initially limited to 1 year with the possibility of extension, depending on the availability of funding. Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (Python, C/C++, or Matlab) are mandatory. Candidates are further required to have a strong background in at least one of the following fields: robotics, computational neuroscience, or cognitive modeling. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset. The working language at the institute is English. To apply, please send a statement of your research interests, academic transcripts, and a complete CV in one PDF file to samarasinghe at ini.rub.de by *15**.09****.2017*. Please also request from at least two academic referees that they send letters of reference directly to the same email address. Further information may be available at https://www.ini.rub.de/the_institute/jobs/. The Ruhr University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Universit?tstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe at ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16 -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.frings at fz-juelich.de Fri Sep 1 01:38:18 2017 From: m.frings at fz-juelich.de (Frings, Maren) Date: Fri, 1 Sep 2017 05:38:18 +0000 Subject: Connectionists: =?iso-8859-1?q?ANDA_2018_-_G-Node_Advanced_Neural?= =?iso-8859-1?q?_Data_Analysis_Course=2C_March_5_-_22=2C_2018=2C_J=FClich?= =?iso-8859-1?q?=2C_Germany?= Message-ID: ANDA 2018 - G-Node Advanced Neural Data Analysis Course March 5 - 22, 2018 Haus Overbach, Juelich-Barmen, Germany Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging. This advanced course aims at providing deeper training in state-of-the-art analysis approaches in systems neuroscience. The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. Internationally renowned researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. Students will define and perform their own analyses on provided data to solve a challenge. Participants are required to have a strong interest in data analysis, a background in a mathematical or related field, knowledge of algebra, matrix operations, and statistics, and need to have solid programming experience (preferably in Python). Date and Venue March 5 - 22, 2018 Haus Overbach, Juelich-Barmen, Germany Faculty ? Moshe Abeles, Bar-Ilan Univ, Israel ? Michael Denker, Juelich Research Center and RWTH Aachen Univ, Germany ? Alain Destexhe, CNRS, Gif sur Yvette, France ? Sonja Gr?n, Juelich Research Center and RWTH Aachen Univ, Germany ? Bj?rn Kampa, RWTH Aachen, Germany ? Christian Machens, Champalimaud Centre for the Unknown, Portugal ? Martin Nawrot, University of Cologne, Germany ? Yifat Prut, Hebrew Univ Jerusalem, Israel ? Alexa Riehle, CNRS, Marseille, France ? Jonathan Victor, Weill Cornell Medical College, USA ? Thomas Wachtler, G-Node, LMU Munich, Germany Topics covered Single neuron properties and statistics ? Stochastic processes ? Surrogate methods ? Detection of spatio-temporal patterns ? Unitary Events ? Statistical analysis of massively parallel spike data ? Higher-order correlation analyses ? Spike-LFP relationship ? Population coding ? State space analysis ? Machine learning ? Data mining ? Data management, reproducibility, data sharing ? Elephant toolbox Requirements Applicants should be familiar with linear algebra, probability, differential and integral calculus and experienced using Python or Matlab. Preparatory reading material will be provided. Students should bring their own laptops and should be able to install software on their system. Students that do not have a suitable laptop should indicate this immediately after acceptance to the course. We will be able to provide a small number of laptops for the time of the course. Course Fee A course fee of 800 Euros will be charged to accepted students. The course fee contributes to covering accommodation and meals, including coffee breaks. A few stipends will be available to support students with documented need of funding. Housing Accommodation in 2-bed rooms for students will be provided at the course site. How to apply The application should include ? a letter of motivation (max 1 page) ? curriculum vitae (please indicate the relevant courses you have taken) ? description of programming experience ? a letter of recommendation. Please send all documents as a single PDF file to >. Deadlines Applications must be received by October 15, 2017. Early application is encouraged because number of participants is limited. For further information see https://portal.g-node.org/advanced-course-2018/ Organizers ? Sonja Gr?n, Juelich Research Center and RWTH Aachen Univ, Germany ? Martin Nawrot, University of Cologne, Germany ? Thomas Wachtler, G-Node, Ludwig-Maximilians-Universit?t M?nchen, Germany Dr. Maren Frings Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Forschungszentrum J?lich GmbH and JARA 52425 J?lich, Germany Building 15.22 Room 4004 Phone +49 2461 61-9468 Fax +49 2461 61-9460 m.frings at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Poster_ANDA2018_final.pdf Type: application/pdf Size: 2924372 bytes Desc: Poster_ANDA2018_final.pdf URL: From gustau.camps at uv.es Fri Sep 1 13:23:44 2017 From: gustau.camps at uv.es (Gustau Camps-Valls) Date: Fri, 1 Sep 2017 19:23:44 +0200 Subject: Connectionists: Two Post-doc positions in Machine Learning for Remote Sensing and Geosciences [ERC project] Message-ID: <4f2e7c07-ce5a-11b0-4c09-43a8daa83d75@uv.es> --------------------------------------------------------------------------- Two Post-doc positions in Machine Learning for Remote Sensing and Geosciences [ERC project] --------------------------------------------------------------------------- We are searching for outstanding postdoc candidates with a strong interest in machine learning and geosciences to cover *two* post-doc positions in the Image and Signal Processing (ISP) group in the Universitat de Valencia, Spain, http://isp.uv.es. The positions are fully funded by an ERC Consolidator Grant 2015-2020 entitled "Statistical Learning for Earth Observation Data Analysis" (SEDAL), http://isp.uv.es/sedal.html, under the direction of Prof. Gustau Camps-Valls. *** The project and job description We aim to develop new statistical inference methods to analyze Earth Observation (EO) data. Machine learning models have helped to monitor land, oceans, and atmosphere through the analysis and estimation of climate and biophysical parameters. Current approaches, however, cannot deal efficiently with the particular characteristics of remote sensing data. We will develop advanced regression (retrieval, model inversion) methods to improve efficiency, prediction accuracy and uncertainties, encode physical knowledge about the problem, attain self-explanatory models, learn graphical causal models to explain the complex interactions between essential climate variables and observations, and discover hidden essential drivers and confounding factors in Climate/Geo Sciences. Highly motivated researchers with a PhD degree in computer science, statistics, machine learning, electrical engineering, physics, or mathematics are encouraged to apply! All candidates should have a solid understanding and knowledge of machine learning and statistics, and being particularly interested in remote sensing and/or geoscience problems. The topics are focused on regression, graphical models and causal inference. Good programming skills (Matlab/Python/R/C++), a critical and organized sense for data analysis, as well as commitment, strong communication, presentation and writing skills are a big plus. *** Application details - Deadline: Send your application as soon as possible. Positions will be filled as soon as we have the right candidate! - How? Send me: 2-pages CV, motivation letter, list of papers and one recommendation letter or contact - Who: PhD in maths, physics, machine learning, or related disciplines. Also, we care about the gender issue! - When? Preferred starting date: October 2017 - How long? 3 years contract - How much? Salary according to UV scales including social security, health insurance benefits, and travel money - Where? Valencia, Spain, Mediterranean city, nice weather, hike and beach. Excellent cost-of-living index = 55 *** Contact - Before applying: Informal inquiries may be addressed to Prof. Dr. Gustau Camps-Valls, gustau.camps at uv.es - Ready to apply? Send your dossier in one single PDF to gustau.camps at uv.es, subject: "SEDAL application" ------------------------------------------- Prof. Gustau Camps-Valls Image and Signal Processing Group (ISP) Image Processing Laboratory (IPL) Universitat de Valencia http://isp.uv.es http://www.uv.es/gcamps From mehrkanoon2011 at gmail.com Sun Sep 3 03:22:43 2017 From: mehrkanoon2011 at gmail.com (Siamak Mehrkanoon) Date: Sun, 3 Sep 2017 09:22:43 +0200 Subject: Connectionists: ESANN'18 SS 1st CPF - SHALLOW and DEEP MODELS for TRANSFER LEARNING and DOMAIN ADAPTATION Message-ID: *** Apologies if you receive multiple copies of this CFP *** CALL FOR PAPERS: special session on "SHALLOW and DEEP MODELS for TRANSFER LEARNING and DOMAIN ADAPTATION" at ESANN 2018 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). 25-27 April 2018, Bruges, Belgium http://www.esann.org ____________ DESCRIPTION: Manual labeling of sufficient training data for diverse application domains is a costly, laborious task and often prohibitive. Therefore, designing models that can leverage rich labeled data in one domain and be applicable to a different but related domain is highly desirable. In particular, domain adaptation or transfer learning algorithms seek to generalize a model trained in a source domain (training data) to a new target domain (test data). The most common underlying assumption of many machine learning models is that both training and test data exhibit the same distribution or the same feature domains. However, in many real life problems, there is a distributional, feature space and/or dimension mismatch between the two domains or the statistical properties of the data evolve in time. Transferring and incorporating different sources of information such as learned feature extractors, knowledge of labeled and unlabeled instances, learned parameters among others from different domains into a unified model that can leverage all the available prior knowledge in order to achieve human level accuracy on a given new task is of great importance. In this context, depending on the availability of the labeled and unlabeled training data from (i) source domains, (ii) source and target domains, different scenarios related to supervised as well as semi-supervised domain adaptation can for instance be considered. In addition different modeling strategies ranging from shallow to deep models is of interest. Therefore, the main objective of the session is to discuss the recent rise of new research questions and learning strategies for the domain adaptation and transfer learning problems using both shallow and deep models. The goal is to promote a fruitful exchange of ideas and methods between different communities, leading to a global advancement of the field. Topics for submission include but are not limited to: ? Deep and shallow models ? Neural Networks ? Kernel based models ? Transfer learning and domain adaptation ? Feature learning / representation learning ? Domain invariant features ? Supervised / Semi-supervised Learning ? Fine-tuning / Feature extractor / Amount of labeling ? Scalability ? Regularization ___________ SUBMISSION: Submitted papers must follow the ESANN paper format and guidelines. https://www.elen.ucl.ac.be/esann/index.php?pg=submission . Authors are encouraged to send as soon as possible an e-mail with the tentative title of their contributions to the special session organisers. ___________________ PRELIMINARY DATES: Full Paper submission: 20 November 2017 Notification of acceptance: 31 January 2018 _____________________________ SPECIAL SESSION ORGANISERS: ? Siamak Mehrkanoon ESAT-STADIUS, KU Leuven, Belgium E-mail: Siamak.Mehrkanoon at esat.kuleuven.be Website: http://mehrkanoon2011.wixsite.com/siamak-mehrkanoon ? Matthew Blaschko ESAT-PSI, KU Leuven, Belgium E-mail: Matthew.Blaschko at esat.kuleuven.be Website: http://homes.esat.kuleuven.be/~mblaschk/ ? Johan A.K. Suykens ESAT-STADIUS, KU Leuven, Belgium E-mail: Johan.Suykens at esat.kuleuven.be Website: http://www.esat.kuleuven.be/sista/members/suykens.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeremiah.deng at otago.ac.nz Sun Sep 3 04:55:01 2017 From: jeremiah.deng at otago.ac.nz (Jeremiah Deng) Date: Sun, 3 Sep 2017 08:55:01 +0000 Subject: Connectionists: PAKDD 2018 Melbourne - Call for Papers and Call for Worshops Message-ID: <1504428901523.88283@otago.ac.nz> PAKDD-2018 Call for Papers The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD?18) May 15 ? 18, Melbourne, Australia | http://prada-research.net/pakdd18 Technical paper submission deadline: October 31st, 2017 Dear Author(s), Now in its 22nd edition, the Pacific-Asia conference on Knowledge Discovery and Data Mining is the second oldest conference and a leading venue in the area of knowledge discovery and data mining (KDD). With a great pleasure, the Program Committee cordially invites original research and industrial application paper submission for the main technical track of the conference which will be held in Melbourne, Australia from May 15th to May 18th, 2018. Submission must be high-quality, original and previously unpublished research in the theory, practice, and application on all aspects of knowledge discovery, and data mining. Research papers reporting original real-world application problems and industrial papers reporting real-time mining applications and system development experience are also highly encouraged. Submission deadline: October 31st, 2017 Notification of acceptance: January 28, 2018 Camera-ready: February 20, 2018 Conference date: May 15 ? 18, 2018 The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) provides an internationally prestigious forum for researchers and industry practitioners to share their new ideas, original research results and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems and the emerging applications. The conference will also feature a high-quality and timely series of tutorials, and a wide range of workshops. Typically, the Program Committee will also select Best Paper Award, Best Student Paper Award and Best Application Award. The proceedings of the conference will be published by Springer as a volume of the LNAI series and a small number of selected papers will be invited for publications in special issues of high-quality journals including Knowledge and Information Systems (KAIS) and International Journal of Data Science and Analytics. Topics As a premier international conference on knowledge discovery and data mining, PAKDD?18 welcomes all submissions on all aspects of knowledge discovery, data mining and machine learning. Suggestive topics of relevance for the conference include, but not limited to, the following: o Theoretic foundations of KDD o Deep learning theory and applications in KDD o Novel models and algorithms o Statistical methods and graphical models for data mining o Anomaly detection and analytics o Association analysis o Clustering o Classification o Data pre-processing o Feature extraction and selection o Post-processing including quality assessment and validation o Mining heterogeneous/multi-source data o Mining sequential data o Mining spatial and temporal data o Mining unstructured and semi-structured data o Mining graph and network data o Mining social networks o Mining high dimensional data o Mining uncertain data o Mining imbalanced data o Mining dynamic/streaming data o Mining behavioral data o Mining multi-media data o Mining scientific data o Privacy preserving data mining o Fraud and risk analysis o Security and intrusion detection o Visual data mining o Interactive and online mining o Ubiquitous knowledge discovery and agent-based data mining o Integration of data warehousing, OLAP, and data mining o Parallel, distributed, and cloud-based high-performance data mining o Opinion mining and sentiment analysis o Human, domain, organizational, and social factors in data mining o Applications to healthcare, bioinformatics, computational chemistry, finance, eco-informatics, marketing, gaming, cyber-security, and industry-related problems Submission Policy Paper submission must be in English and adhere to the double-blind review policy. All papers will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. All paper submissions will be handled electronically. Detailed instructions are provided on the conference home page. Papers that do not comply with the Submission Guidelines will be rejected without review. Each submitted paper should include an abstract up to 200 words and be no longer than 12 single-spaced pages with 10pt font size. Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines for their initial submissions. All papers must be submitted electronically through the paper submission system in PDF format only. The submitted papers must not be previously published anywhere and must not be under consideration by any other conference or journal during the PAKDD review process. Submitting a paper to the conference means that if the paper was accepted, at least one author will attend the conference to present the paper. For no-show authors, their papers will not be included in the proceedings. Before submitting your paper, please carefully read and agree with the PAKDD submission policy and no-show policy: http://pakdd.org/policy.html. For more updated information and Calls for Tutorial proposal, Workshop Proposal and Data Mining Competition, please refer to our website at http://prada-research.net/pakdd18 Feel free to contact us at pakdd2018 at gmail.com if you have any questions; and we are excited to looking forward to welcoming you in Melbourne next year! Best Regards, Dinh Phung and Vincent S. Tseng Program Co-Chairs, PAKDD?18? -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccv17publicity at gmail.com Sun Sep 3 20:25:56 2017 From: iccv17publicity at gmail.com (Ali Shokoufandeh) Date: Sun, 3 Sep 2017 20:25:56 -0400 Subject: Connectionists: Call for Participation: ICCV 2017 Demos Message-ID: Call for Demos The International Conference on Computer Vision (ICCV 2017) is a premier Computer Vision conference and will host demonstrations to allow interested researchers and research organizations the opportunity to demonstrate their research live to the conference attendees. All researchers in computer vision and related disciplines are invited to submit applications to present demonstrations at ICCV 2017. Applications are not limited to ICCV 2017 papers or ICCV 2017 workshop papers. Any demonstrations showcasing the effectiveness of computer vision methods are welcome. Demonstrations will be held in parallel with the poster sessions during the Main Conference (October 24-27, 2017). Demo applicants should fill out and submit an ICCV 2017 Demo Expression of Interest electronically and email it and any supporting material to andrew.bagdanov at unifi.it. All demonstration submissions will be reviewed. Demonstrations will be selected based on their time of submission, their relevance to ICCV, their scientific merit, and how interactive the demo is. Demonstrations by industrial partners are welcome, but commercial products should be presented as part of the ICCV Exhibits rather than as demonstrations. Presenters of accepted demos must be registered at the conference. For more information Please see: http://iccv2017.thecvf.com for more information, or contact the ICCV 2017 demo chair by e-mail at: andrew.bagdanov at unifi.it. *Dates* Demo submission: *September 24, 2017* Demo acceptance: *September 29, 2017* Demonstrations: *October 24-27, 2017* -------------- next part -------------- An HTML attachment was scrubbed... URL: From annalisa.riccardi at strath.ac.uk Mon Sep 4 11:22:44 2017 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Mon, 4 Sep 2017 15:22:44 +0000 Subject: Connectionists: Funded PhD position (University of Strathclyde, Glasgow, UK) In-Reply-To: <5F981B7DF1B7214DB40BAA37423DD2B636CDC6D6@EX2010-MBX3.ds.strath.ac.uk> References: <5F981B7DF1B7214DB40BAA37423DD2B636CDC6D6@EX2010-MBX3.ds.strath.ac.uk> Message-ID: <5F981B7DF1B7214DB40BAA37423DD2B636CDC6F5@EX2010-MBX3.ds.strath.ac.uk> PhD position in Deep Learning & Knowledge Management for Spacecraft Design Fully funded PhD position available at the Department of Mechanical and Aerospace Engineering of the University of Strathclyde (Scotland, UK) in collaboration with the European Space Agency (Netherlands), Airbus Defence and Space (Germany) and RHEA Group (Belgium). Project Start Date: between November 2017 and February 2018. Supervisors: Dr Annalisa Riccardi Details: The proposed research is aimed at developing a database of knowledge and lessons learned from the design of space systems by making use of modern techniques such as Natural Language Processing, Deep Learning and Deep relational networks. To build these kind of databases and networks usually a very lengthy process of interviews and manual collection and organisation of data is required. The proposed research project aims to automatically infer this knowledge from existing datasets of components and/or mission studies reports as well as freely available online resources. The project is a first step towards the development of a Design Engineering Assistant (DEA). The DEA, will provide support to the engineer for quick assessment studies, and running in the background will provide real-time feedback to the actions taken by the spacecraft designer. The intelligent agent is not intended to replace the human in the design process but rather to enhance his perception of the problem and possible solutions through the quickly evaluations of different alternatives. The enrolled student will have the opportunity to collaborate on a complimentary project with another PhD candidate at the European Space Agency. Eligibility: A first Class or Upper Second Honours degree (or equivalent overseas qualification) in an appropriate discipline (e.g., computer science, applied mathematics or aerospace/electronics and electrical engineering). You should be able to demonstrate excellent mathematical, analytical and programming skills. Previous experience in machine/deep learning and database management would be advantageous. Funding: This project is fully funded by the University of Strathclyde through the Research Excellence Award scholarship. The studentship covers the University tuition fees (at EU/UK level) and provides an annual tax free stipend (rate for 2017-2018 is ?14,553 p.a. tax-free) and appropriate bench fees. NB it will not cover the overseas tuition fees for students who are outside of the EU. The student will be part of the Intelligent Computational Laboratory (ICE Lab, www.icelab.uk) of the Aerospace Centre of Excellence of the Mechanical and Aerospace Engineering Department of the University of Strathclyde, Glasgow, UK. In the first instance, interested parties should contact (with their CV) the supervisor: annalisa.riccardi at strath.ac.uk Best regards, Annalisa Riccardi, PhD Lecturer, Chancellor?s Fellow ICE Lab the Intelligent Computational Engineering Laboratory www.icelab.uk info at icelab.uk ________________________________________ Aerospace Centre of Excellence Department of Mechanical & Aerospace Engineering Strathclyde University James Weir Building, 75 Montrose Street G1 1XJ Glasgow +44.141574.5169 From ret26 at cam.ac.uk Mon Sep 4 10:53:46 2017 From: ret26 at cam.ac.uk (Richard Turner) Date: Mon, 4 Sep 2017 15:53:46 +0100 Subject: Connectionists: University of Cambridge: University Lectureship in Computer Vision and Robotics Message-ID: Dear all, We invite applications for a University Lectureship (equivalent to US Assistant Professor) in *Computer Vision and Robotics* in the Department of Engineering, University of Cambridge, UK. The successful candidate will join the Machine Intelligence Laboratory to add to its expertise in Computer Vision, Robotics, Medical Imaging, and Speech and Language Processing. The Machine Intelligence Laboratory works closely with the Cambridge Machine Learning Group . We encourage applicants who will strengthen our current research activities in machine learning, object recognition and detection, segmentation, tracking, reinforcement learning, robot navigation, manipulation, human-robot interaction, and all aspects of machine intelligence and perception and interaction. The ideal candidate will work in both Computer Vision and Robotics, but candidates who specialise in either field are also encouraged to apply. For more information, please see the official advert . Best wishes, Richard Turner -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Mon Sep 4 14:34:16 2017 From: jkrichma at uci.edu (Jeff Krichmar) Date: Mon, 4 Sep 2017 11:34:16 -0700 Subject: Connectionists: PhD Opportunities in the Department of Cognitive Sciences at the University of California, Irvine Message-ID: Dear colleagues, The Department of Cognitive Sciences at the University of California, Irvine is seeking graduate students for admission in Fall 2018. We invite exceptional and highly motivated candidates to apply for full-time PhD research in computational neuroscience, machine learning, computational vision, neural networks, and neurorobotics. Students will have the opportunity to work in the Cognitive Anteater Robotics laboratory (PI: Jeff Krichmar), the Neuromorphic Machine Intelligence laboratory (PI: Emre Neftci), and the newly established Visual Perception laboratory (PI: Zyg Pizlo) at UC Irvine. For more information about ongoing research see: ? http://www3.psych.purdue.edu/~zpizlo/ ? http://nmi-lab.org/ ? http://www.socsci.uci.edu/~jkrichma/CARL/ Projects include: ? Cognitive robotics for decision-making, planning, perception, and memory. ? Efficient coding in the brain. ? Models of neuromodulation. ? Neurobiologically inspired vision models. ? Models of human problem solving. ? Neuromorphic engineering and machine learning ? Spike-based computation Applicants should have strong mathematical and computer programming skills, as well as good communication skills. Successful applicants will receive funding toward their Ph.D. for at least 5 years. Founded in 1965, UCI is the youngest member of the prestigious Association of American Universities. The campus has produced three Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. UCI has more than 30,000 students and offers 192 degree programs. It?s located in one of the world?s safest and most economically vibrant communities and is Orange County?s second-largest employer, contributing $5 billion annually to the local economy. For more information about the Cognitive Sciences graduate program, please see: http://www.cogsci.uci.edu/graduate/index.php Jeff Krichmar Professor Department of Cognitive Sciences University of California, Irvine Email: jkrichma at uci.edu Website: http://www.socsci.uci.edu/~jkrichma Emre Neftci, PhD (ETH Zurich) Assistant Professor Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/), Department of Cognitive Sciences, University of California, Irvine Email: eneftci at uci.edu Zygmunt Pizlo Professor Falmagne Endowed Chair in Mathematical Psychology Department of Cognitive Sciences University of California, Irvine Email: zpizlo at uci.edu From hazem.eq.toutounji at gmail.com Mon Sep 4 14:09:55 2017 From: hazem.eq.toutounji at gmail.com (Hazem Toutounji) Date: Mon, 4 Sep 2017 20:09:55 +0200 Subject: Connectionists: Bernstein 2017 Workshop, "The Neural Code: Universal Grammar or Area-Specific Mechanisms?" Message-ID: Dear Colleagues, We would like to draw your attention to the upcoming workshop *The Neural Code: Universal Grammar or Area-Specific Mechanisms?* at the *Bernstein Conference 2017*, which will take place preceding the conference on *September 12-13* in *G?ttingen, Germany*. *Abstract:* The brain responds to sensory stimuli with complex, yet structured, patterns of action potentials, which in turn gives rise to perception, action, remembrance and other facets of the organism's mental life. Finding order in the complexity of neural activity, and the quest for the neural code, occupied much of both experimental and theoretical neuroscience in the last decades. Several general theories of how the brain might encode and transfer information have been suggested, partly backed by experimental evidence. Attractor dynamics, binding by synchrony, brain oscillations acting at multiple temporal scales and Bayesian coding are some of the more prominent proposals into this direction. The debate whether these strategies are different facets of a fundamental neural grammar, or are local codes within functionally distinct brain regions, is far from settled. The aim of the workshop is to bring together experts in the field of neural coding, in order to discuss basic mechanisms of information encoding and the deeper question of whether there is a unifying grammar of neural representations. Schedule: Tue, Sept 12, 2017 13:00 Damian Battaglia, Aix-Marseille University, Marseille, France *Do oscillations modulate information processing? From routing states to computing modes* 13:45 Mattia Rigotti, Physical Sciences Department, IBM T. J. Watson Research Center, Yorktown Heights, NY *Functional role of the dimensionality of neural responses* 14:30 General discussion 15:00 Coffee Break 15:30 M?t? Lengyel, University of Cambridge, UK *A sampling-based neural code of uncertainty in V1 (and I bet elsewhere, too)* 16:15 Nicolas Brunel, University of Chicago, Chicago, USA *Statistics of connectivity in networks optimizing information storage: fixed point attractors vs sequences* 17:00 Misha Tsodyks, Weizmann Institute of Science, Israel *Population spikes codes for processing and working memory* 17:45 General discussion Wed, Sept 13, 2017 9:00 Stefano Panzeri, Neural Computation Laboratory, Istituto Italiano di Tecnologia, Genova, Italy *The relationship between cross-cell coupling and the timescales of population coding across cortex* 9:45 Thilo Womelsdorf, Vanderbilt University, Nashville, Tennessee, USA *Neural coding and inter-areal integration of goal-relevant information using spike bursts* 10:30 *Coffee break* 11:00 Pascal Fries, Ernst Str?ngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, Germany *Rhythms for Cognition: Communication through Coherence* 11:45 Genaral discussion Kind regards, Eleonora Russo and Hazem Toutounji -- Dr. rer. nat. Hazem Toutounji Postdoctoral Researcher in Theoretical Neuroscience Central Institute of Mental Health Medical Faculty Mannheim of Heidelberg University Square J5, 68159 Mannheim, Germany office: +49-621-1703-2366 -------------- next part -------------- An HTML attachment was scrubbed... URL: From viktor.jirsa at univ-amu.fr Mon Sep 4 12:37:05 2017 From: viktor.jirsa at univ-amu.fr (Viktor Jirsa) Date: Mon, 4 Sep 2017 18:37:05 +0200 Subject: Connectionists: Postdoctoral position available in the Theoretical Neuroscience Group, Institute of System Neuroscience (INS), Marseille, FRANCE Message-ID: <8E4CC3C4-0216-4180-94FC-B05ED3C126AE@univ-amu.fr> Dear colleagues, Please find they following position announcement below. Best, Viktor --- Postdoctoral position available in the Theoretical Neuroscience Group, Institute of System Neuroscience (INS), Marseille, FRANCE Summary The Theoretical Neuroscience Group (Head: Viktor Jirsa) is seeking to fill a post-doctoral position in the context of the project EPINOV to work on statistical & dynamical modeling of seizure propagation using personalized brain modeling and neuroinformatics approaches on a cohort of hundreds of epilepsy patients. EPINOV is one of 10 large-scale projects in the French scientific excellence program ? Investissements d?Avenir ? financed by the National Research Agency (ANR). The aim of the EPINOV project is to significantly improve presurgical interpretation, guide surgical strategies and translate computational tools into clinical routine of personalized medicine. We use individual MRI scans to reconstruct brain anatomy and connectivity, which are combined with a neural mass model and fit using the Bayesian modeling software Stan to individuals' intracranial electrophysiology data (stereotactic EEG), validated by clinical data from other modalities, such as MEG, fMRI, and semiology. Responsibilities ? Scale up statistical models "vertically" to handle more data and higher resolution anatomy, using model comparison techniques to evaluate the advantage of different model structures ? Scale out models "horizontally", performing coherent, reliable inference across a large cohort of patients using dedicated, on-site HPC resources ? Develop routines to evaluate and visualize inference results, making them amenable to clinical interpretation ? Integrate developed code into existing code bases and pipelines Qualification ? Highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. ? PhD degree in computational neuroscience, mathematical or statistical modeling, machine learning or equivalent level of knowledge. ? Significant, demonstrable experience in data fitting (Bayesian modeling, Dynamical Causal Modeling (DCM), Monte Carlo, etc) will be highly appreciated. ? Experience with working in a Linux/HPC environment ? Programming in a numerically oriented language (R, Python, MATLAB) ? Familiarity with Git, unit testing, Docker/VMs is a plus The Theoretical Neuroscience group We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. Terms of salary and employment A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by September 30th 2017 to: Dr. Irene Yujnovsky at irene.yujnovsky at univ-amu.fr More information about the INS and the Theoretical Neurosciences Group can be found at: http://ins.univ-amu.fr ? Viktor Jirsa Directeur, Institut de Neurosciences des Syst?mes Co-Directeur de la F?d?ration Hospitalo-Universitaire(FHU) ? EPINEXT ? ?Epilepsies et troubles de l?Excitabilit? Neuronale ? UMR INSERM 1106 Aix-Marseille Universit? Facult? de M?decine, 27, Boulevard Jean Moulin 13005 Marseille, France tel : ++33(0)491324223 http://ins.univ-amu.fr/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.panzeri at gmail.com Tue Sep 5 14:02:26 2017 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Tue, 5 Sep 2017 20:02:26 +0200 Subject: Connectionists: Fwd: workshop announcement - Experimental and Theoretical Analysis of Cortical Dynamics - Rovereto Italy In-Reply-To: References: Message-ID: The HBP Partnering Project SloW Dyn , a FLAG-ERA Project, in collaboration with the Istituto Italiano di Tecnologia and in collaboration with the EITN (European Institute of Theoretical Neuroscience, Human Brain Project) are organizing a one day workshop on: *Experimental and Theoretical Analysis of Cortical Dynamics* Location: Istituto Italiano di Tecnologia, Corso Bettini 31, Rovereto, Italy Date and time: Friday September 22nd, 2017, from 9am to 6pm *Abstract:* Brain function is hypothesized to emerge from the concerted context-dependent dynamics of its networks. This workshop explores theoretical and experimental approaches for the analysis of brain dynamics at multiple spatial and temporal scales. *Confirmed speakers*: Ruth Benavides-Piccione, Cajal Institute, Madrid Maurizio Corbetta, University of Padova Egidio D'Angelo, University of Pavia Alain Destexhe CNRS, Paris Tommaso Fellin IIT, Genoa Mathieu Galtier, Rhythm, Paris Alessandro Gozzi, IIT, Rovereto Maurizio Mattia ISS, Rome Ruben Moreno-Bote, UPF, Barcelona Stefano Panzeri IIT, Rovereto Mavi Sanchez-Vives, IDIBAPS, Barcelona Davide Zoccolan, SISSA, Trieste Hosts: Stefano Panzeri and Tommaso Fellin Attendance is free, but prior registration is needed. For registration and more information, please email slowdynconference at gmail.com regards Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From weixu at cse.ohio-state.edu Tue Sep 5 13:31:14 2017 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Tue, 5 Sep 2017 17:31:14 +0000 Subject: Connectionists: NAACL-HLT 2018: 1st Call for Papers Message-ID: <59217F67-F19B-4637-98BF-306780BCA065@osu.edu> ********************************************************************************************** The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018) ********************************************************************************************** New Orleans, Louisiana, USA June 1-6, 2018. ********************************************************************************************** http://naacl2018.org FIRST CALL FOR PAPERS ------------------------------------ Conference Topics ------------------------------------ NAACL-HLT 2018 invites the submission of long and short papers on substantial, original, and unpublished research in all aspects of computational linguistics. NAACL-HLT 2018 has a goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): - Cognitive modeling / Psycholinguistics - Dialog and interactive systems - Discourse and pragmatics - Generation - Information Extraction - Machine Learning for NLP - Machine Translation - NLP Applications - Phonology, Morphology and word segmentation - Question Answering - Resources and evaluation - Semantics - Sentiment Analysis - Social Media - Speech - Summarization - Tagging, chunking, syntax and parsing - Text Mining - Vision, robots, and other grounding As in recent years, some of the presentations at the conference will be of papers accepted by the Transactions of the ACL. Also, separate CFPs will be forthcoming for demo papers and for submissions to the industry track. ------------------------------------ Important Dates ------------------------------------ Submission Deadline (Long Papers) - December 15, 2017 Submission Deadline (Short Papers) - January 10, 2018 Long Paper Author Response Period - January 25~28, 2018 Notification of Acceptance (Long Papers) - February 14, 2018 Notification of Acceptance (Short Papers) - February 28, 2018 Camera Ready Due - March 20, 2018 (All deadlines are 11:59PM GMT -12, anywhere in the world.) ------------------------------------ Long and Short Papers ------------------------------------ Long Papers Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long paper submissions may consist of up to eight (8) pages of content, plus unlimited references; final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers? comments can be taken into account. Long papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and as posters. Short Papers Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead short papers should have a point that can be made in a few pages. Some kinds of short papers are: - A small, focused contribution - Work in progress - A negative result - An opinion piece - An interesting application nugget Short paper submissions may consist of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers? comments in their final versions. Short papers will be presented in one or more oral or poster sessions. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. ------------------------------------ Submission Guideline ------------------------------------ Note: the ACL is creating expanded publication guidelines which will be made available via the NAACL-HLT 2018 website and submission system when they are available. The ACL publication guidelines will supersede the guidelines below in case of conflict. Submissions should be original The content of submissions to NAACL-HLT 2018 (the ideas, the findings, the results and the words) should be original; that is, should not have been published (or be accepted for publication) in another refereed, archival form (such as a book, a journal, or a conference proceedings). Authors may present preliminary versions of their work in other venues that are not refereed and/or not archival (e.g. course reports, theses, non-archival workshops, or on preprint servers such as arXiv.org). Authors should list all such previous presentations in the submission form. This will help the area chairs if questions of originality arise. Papers that have been or will be submitted to other venues must indicate this at submission time, and must be withdrawn from the other venues if accepted to NAACL-HLT 2018. Authors submitting more than one paper to NAACL-HLT 2018 must ensure that the submissions do not overlap significantly (>25%) with each other. Facilitate double blind review Double blind review is a form of peer review in which the identities of authors are not provided to reviewers, and the identities of reviewers are not provided to authors. To facilitate double blind review, submissions should not identify authors or their affiliations. For example, self-references that reveal the author?s identity, e.g., ?We previously showed (Smith, 1991) ?? must be avoided. Instead, use citations such as ?Smith previously showed (Smith, 1991) ??. Any preliminary non-archival versions of submitted papers should be listed in the submission form but not in the review version of the paper. NAACL-HLT 2018 reviewers are generally aware that authors may present preliminary versions of their work in other venues, but will not be provided the list of previous presentations from the submission form. Follow style and format guidelines Submissions should follow the NAACL-HLT 2018 style guidelines. Long paper submissions must follow the two-column format of ACL proceedings without exceeding eight (8) pages of content. Short paper submissions must also follow the two-column format of ACL proceedings, and must not exceed four (4) pages. References do not count against these limits. We strongly recommend the use of the official NAACL-HLT 2018 style templates. All submissions must in PDF format. Submissions that do not adhere to the above author guidelines may be rejected without review. Presentation Requirement All accepted papers must be presented at the conference to appear in the proceedings. Authors of papers accepted for presentation at NAACL-HLT 2018 must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. Previous presentations of the work (e.g. preprints on arXiv.org) should be indicated in a footnote that should be excluded from the review submission, but included in the final version of papers appearing in the NAACL-HLT 2018 proceedings. At least one author of each accepted paper must register for NAACL-HLT 2018 by the early registration deadline. Paper Online Submission Submission is electronic, using the Softconf START conference management system at: https://www.softconf.com/naacl2018/papers ? for long papers https://www.softconf.com/naacl2018/shortpapers ? for short papers ------------------------------------ Contact Information ------------------------------------ General chair: Marilyn Walker (University of California Santa Cruz) Program co-chairs: Heng Ji (Rensselaer Polytechnic Institute) and Amanda Stent (Bloomberg) Email: naacl2018-program at googlegroups.com ------------------------------------ Area Chairs ------------------------------------ - Cognitive Modeling / Psycholinguistics: Morteza Dehghani, Kristy Hollingshead Seitz - Dialogue and Interactive Systems: Yun-Nung (Vivian) Chen, Gabriel Skantze - Discourse and Pragmatics: Jacob Eisenstein, Junyi (Jessy) Li, Annie Louis, Yi Yang - Generation: Michael White - Information Extraction: Mausam, Dan Bikel, Chia-Hui Chang, Bonan Min, Aur?lie N?v?ol, Marius Pasca, Hinrich Sch?tze, Avirup Sil, Michael Strube - Machine Learning for NLP: Chris Dyer, Ozan Irsoy, Tie-Yan Liu, Raymond Mooney - Machine Translation: Marine Carpuat, Kyunghyun Cho, Daniel Marcu, Taro Watanabe, Deyi Xiong - NLP Applications: Joel Tetreault - Phonology, Morphology and Word Segmentation: Jennifer Foster, Barbara Plank - Question Answering: Eugene Agichtein, Idan Szpektor - Semantics: Yoav Artzi, Mona Diab, Kevin Duh, Anna Korhonen, Jonathan May, Preslav Nakov, Dan Roth, Scott Wen-tau Yih - Sentiment Analysis: Smaranda Muresan, Swapna Somasundaran - Social Media Analysis and Computational Social Science: Mark Dredze, Hannaneh Hajishirzi, Miles Osborne, Alan Ritter, Sara Rosenthal, William Yang Wang - Speech: Eric Fosler-Lussier, Dilek Hakkani-Tur, Mari Ostendorf - Summarization: George Giannokopoulos, Xiaojun Wan, Lu Wang - Tagging, Chunking, Syntax and Parsing: Michael Collins, Yoav Goldberg, Daisuke Kawahara, Emily Pitler, Anders S?gaard, Aline Villavicencio - Text Mining: Kai-wei Chang, Jing Jiang, Zornitsa Kozareva, Chin-Yew Lin - Vision, Robotics and Other Grounding: Joyce Chai -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Tue Sep 5 15:58:16 2017 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Tue, 5 Sep 2017 15:58:16 -0400 Subject: Connectionists: workshop on high performance computing in neuroscience Message-ID: <3fbbb32b-3acf-fecf-72e6-19ecdb102f0f@yale.edu> This year the workshop on the Neuroscience Gateway Portal (NSG) will be held on Saturday, Nov. 11, from 9 AM to noon in downtown Washington DC near the convention center, as a satellite to the Society for Neuroscience meeting. This workshop will show you how to use this NSF-supported resource in your computationally- intensive modeling and data analysis projects. It will also feature presentations from neuroscientists on how they are using high performance computing (HPC) resources in their own research. The NSG has a simple, convenient browser-based interface for running simulations and data analysis tasks on HPC hardware, and provides free CPU time. It also has a RESTful interface for programmatic access. Currently installed software includes BluePyOpt, Brian, CARLsim, Freesurfer, GENESIS, MATLAB, MOOSE, NEST, NEURON, PyNN, and the Virtual Personalized Multimodal Connectome Pipeline. The registration deadline for this workshop is Friday Oct. 27, but you should register soon because space is limited. See http://www.neuron.yale.edu/neuron/static/courses/nsg2017/nsg2017.html for more information and a link to the registration form. --Ted From Elisabeth.Wintersteller at i-med.ac.at Wed Sep 6 04:55:24 2017 From: Elisabeth.Wintersteller at i-med.ac.at (Elisabeth Wintersteller) Date: Wed, 6 Sep 2017 10:55:24 +0200 Subject: Connectionists: Human Brain Project Education Programme - Calls for Expression of Interest for HBP Workshops and HBP Schools Message-ID: Dear colleagues, We are pleased to announce that the HBP Education Programme Office launches two Calls for Expression of Interest (CEoI) to identify Scientific Directors to take over the scientific lead of HBP Education events in the period April 2018 to March 2020. The HBP Education Programme is inviting HBP and non-HBP scientists to submit a proposal for HBP Schools or HBP Workshops and help educating a new generation of young scientists. The educational events will be carried out between April 2018 and March 2020. Further details can be found in the respective Guides for applicants. Open Calls (published on 4 September 2017) HBP Workshops 2018 (EUR 90,000 and additional work support of 15-20 person/months; split between five proposals) Click the link above for further details on this Call and submission process. For questions regarding this CEoI please email: hbp-workshop18 at opencalls.humanbrainproject.eu Deadline for submission for the HBP Workshops 2018 Call is 12 October 2017 (5 pm CEST) HBP Schools (EUR 75,000 and additional work support of 9-12 person/months; split between three proposals) Click the link above for further details on this Call and submission process. For questions regarding this CEoI please email: hbp-schools at opencalls.humanbrainproject.eu Deadline for submission for the HBP Schools Call is 30 November 2017 (5 pm CET) We are looking forward to receiving your submissions! Best regards, Elisabeth Wintersteller on behalf of Alois Saria, Director HBP Education Programme Elisabeth Wintersteller HBP Education Programme Project Manager Mag. Elisabeth Wintersteller Medical University Innsbruck M?llerstra?e 59, 6020 Innsbruck, Austria Phone Office: +43 512 9003 71242 Mobile: +43 676 871 672 242 Follow us on Twitter and Facebook! Keep up with the Education Programme?s latest news, event information, job offers, videos and more. Share our news with your friends and colleagues to help spreading our education and training opportunities throughout the international research community. Where to follow: Twitter: @HBP_Education Facebook: @hbpeducation LinkedIn: HBP Education Programme -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Thu Sep 7 09:45:15 2017 From: alessandra.sciutti at gmail.com (Alessandra Sciutti) Date: Thu, 7 Sep 2017 15:45:15 +0200 Subject: Connectionists: HAI 2017 early registration deadline: September 10 In-Reply-To: References: Message-ID: <02e701d327df$89b8b450$9d2a1cf0$@gmail.com> [We apologize if you receive multiple copies of this message] ========================================================================== HAI 2017 EARLY REGISTRATION CLOSES September 10, 2017 ========================================================================== Early Registration is open for the Fifth International Conference on Human-Agent Interaction (HAI 2017) to be held in Bielefeld, Germany, October 17 - 20, 2017. Early registration closes September 10, 2017. http://hai-conference.net/hai2017/conference-registration/ HAI 2017 is the 5th annual International Conference on Human-Agent Interaction. It aims to be the premier interdisciplinary venue for discussing and disseminating state-of-the-art research and results that have implications across conventional interaction boundaries including robots, software agents and digitally-mediated human-human communication.The theme for HAI 2017 is "How autonomy shapes interaction". To register for HAI2017, follow the instructions in the following site: https://express.converia.de/?sub=95. Discounted rates for several hotels can be found here: http://hai-conference.net/hai2017/accommodation/ Looking forward to seeing you at Bielefeld! HAI 2017 Committee ---------------------------------------- Alessandra Sciutti (PhD) Researcher, Robotics Brain and Cognitive Sciences Unit Istituto Italiano di Tecnologia Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy tel: +39 010? 8172 210 email: alessandra.sciutti at iit.it website: https://www.iit.it/people/alessandra-sciutti From tomas.hromadka at gmail.com Thu Sep 7 09:14:23 2017 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Thu, 7 Sep 2017 15:14:23 +0200 Subject: Connectionists: COSYNE 2018: Call for workshop proposals Message-ID: <915e4073-03a0-d5e0-c18d-01a3fc99c40d@gmail.com> ================================================= Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ================================================= ----------------------------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------------------------- PRE-PROPOSAL DEADLINE: 01 October 2017 FULL PROPOSAL DEADLINE: 31 October 2017 PRE-PROPOSALS In an effort to coordinate submissions, the organizers are *strongly encouraged* to submit a pre-proposal by *01 October 2017.* Pre-proposals will be shared among submitters. Pre-proposals are not mandatory but workshops with a pre-proposal will have priority. The organizers may submit the full proposal by its deadline. A series of workshops will be held after the main Cosyne meeting (www.cosyne.org). The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at Cosyne.org -> Workshops). Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a single person should not speak in more than one of the Workshops taking place on the same day. WORKSHOP DETAILS - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held at Breckenridge, CO, a ski resort located 100 miles (approximately two hours) from the Denver International Airport. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Deadline for pre-proposals: October 1st, 2017 Deadline for proposals: October 31st, 2017 Format: plain text only, please no attachments, email to cosyne18workshops [at] gmail.com (Laura Busse, Ralf Haefner) PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs 2 days, please explain why. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). FULL PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2018 WORKSHOP CHAIRS Laura Busse (LMU Munich) and Ralf Haefner (University of Rochester) QUESTIONS email: cosyne18workshops [at] gmail.com COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details. From pierre-yves.oudeyer at inria.fr Thu Sep 7 11:02:57 2017 From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer) Date: Thu, 7 Sep 2017 17:02:57 +0200 Subject: Connectionists: [publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems, 14(1), 2017 Message-ID: <93E485DE-B780-4866-BFD1-6EE9CDC9F3C3@inria.fr> Dear colleagues, I am happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access). This is a biannual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence and neuroscience. It is available at: http://goo.gl/dyrg6s Featuring dialog: === "Exploring Robotic Minds by Predictive Coding Principle" == Dialog initiated by Jun Tani with responses from: Andy Clark, Doug Blank, James Marshall, Lisa Meeden, Stephane Doncieux, Giovanni Pezzulo, Martin Butz, Ezgi Kayhan, Johan Kwisthout and Karl Friston == Topic: The idea that the brain is pro-actively making predictions of the future at multiple levels of hierarchy has become a central topic to explain human intelligence and to design general artificial intelligence systems. This dialog discusses whether hierarchical predictive coding enables a paradigm shift in development robotics and AI. In particular, the dialog reviews the importance of various complementary mechanisms to predictive coding, which happen to be right now very actively researched in artificial intelligence: intrinsic motivation and curiosity, multi-goal learning, developmental stages (also called curriculum learning in machine learning), and the role of self-organization. They also underline several major challenges that need to be addressed for general artificial intelligence in autonomous robots, and that current research in deep learning fails to address: 1) the problem of the poverty of stimulus: autonomous robots, like humans, have access to only little data as they have to collect it themselves with severe time and space constraints; 2) the problem of information sampling: which experiments/observations to make to improve one?s world model. Finally, they also discuss the issue of how these mechanisms arise in infants and participate to their development. Call for new dialog: === "One Developmental Cognitive Architecture to Rule Them All?" == Dialog initiated by Matthias Rolf, Lorijn Zaadnoordijk, Johan Kwisthout == This new dialog asks whether and how it would be useful both epistemologically and in practice to aim towards the development of a ?standard integrated cognitive architecture?, akin to ?standard models? in physics. In par- ticular, they ask this question in the context of understanding development in infants, and of building developmental architectures, thus addressing the issue of architectures that not only learn, but that are adaptive themselves. Those of you interested in reacting to this dialog initiation are welcome to sub- mit a response by November 30th, 2017. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer at inria.fr). Let me remind you that all issues of the newsletter are all open-access and available at: http://icdl-epirob.org/cdsnl I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems Chair of the IEEE CIS AMD Technical Committee on Cognitive and Developmental Systems Research director, Inria Head of Flowers project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com Twitter: https://twitter.com/pyoudeyer and Fabien Benureau Assistant Editor Inria Mnemosyne team http://fabien.benureau.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From shobeir at gmail.com Fri Sep 8 01:00:59 2017 From: shobeir at gmail.com (Shobeir Fakhraei) Date: Thu, 7 Sep 2017 22:00:59 -0700 Subject: Connectionists: [CFP] WSDM HeteroNAM'18 - International Workshop on Heterogeneous Networks Analysis and Mining (Los Angeles, CA) Message-ID: [image: Inline image 1] HeteroNAM 2018: International Workshop on Heterogeneous Networks Analysis and Mining Feb 9, 2018 Los Angeles, California, USA, 2018 (co-located with WSDM?18) http://www.heteronam.org/2018 Submission Deadline: Nov 20, 2017 Call for papers: This workshop is a forum for exchanging ideas and methods for heterogeneous networks analysis and mining, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances in this area. In doing so, we aim to better understand the overarching principles and the limitations of our current methods and to inspire research on new algorithms and techniques for heterogeneous networks analysis and mining. To reflect the broad scope of work on heterogeneous networks analysis and mining, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications and empirical studies is various domains. The need for analysis and learning methods that go beyond mining simple graphs is emerging in many disciplines and are referred to with different names depending on the type of data augmenting the simple graph. General topics of interest include, but are not limited to: - Heterogeneous Information Networks - Multi-Relational Networks - Signed Networks - Attributed Networks - Aligned Networks - Multigraphs - Multidimensional Networks - Multilayer Networks - Complex Networks - Multimodal Networks Heterogenous networks are becoming the key component in many emerging applications and data-mining and graph-mining related tasks. Some of the related research areas and tasks related to heterogeneous networks include: - Link and relationship strength prediction - Clustering and community detection and formation modeling - Learning to rank in information networks - Similarity measures and relationship extraction - Applications to modeling of weblogs, social media, social networks, medical networks, and the semantic web - Statistical relational learning - Tensor factorization - Network-based classification - Hybrid recommender systems - Information fusion - Network evolution and dynamic networks All papers will be peer reviewed, single-blinded. We welcome many kinds of papers, such as, but not limited to: - Novel research papers - Demo papers - Work-in-progress papers - Visionary papers (white papers) - Appraisal papers of existing methods and tools (e.g., lessons learned) - Relevant work that has been previously published - Work that will be presented at the main conference of WSDM Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. Submissions must be in PDF, no more than 8 pages long ? shorter papers are welcome ? and formatted according to the standard double-column ACM Proceedings Style . The accepted papers will be published on the workshop?s website and will not be considered archival for resubmission purposes. Authors whose papers are accepted to the workshop will have the opportunity to participate in a spotlight and poster session, and some set may also be chosen for oral presentation. Timeline: Paper Submission Deadline: Nov 20, 2017 Author Notification: Dec 14, 2017 Final Version: Jan 1, 2018 Workshop: Feb 9, 2018 Submission Instructions: http://www.heteronam.org/2018 Please send enquiries to *chair at heteronam.org * We look forward to your participation! Organizers: Shobeir Fakhraei (USC Information Sciences Institute) Yanen Li (Snap Inc.) Yizhou Sun (University of California Los angeles) Tim Weninger (University of Notre Dame) To receive updates about the current and future workshops and the Graph Mining community, please join the mailing list: https://groups.google.com/d/forum/mlg-list or follow the twitter account: https://twitter.com/heteronam Please find a printable version of the CFP here: http://www.heteronam.org/2018/HeteroNAM18_CFP1.pdf Best Regards, -- HeteroNAM Organizers *chair at heteronam.org * -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: heteronam-logo-text.png Type: image/png Size: 54624 bytes Desc: not available URL: From dw0031 at surrey.ac.uk Fri Sep 8 09:27:15 2017 From: dw0031 at surrey.ac.uk (dw0031 at surrey.ac.uk) Date: Fri, 8 Sep 2017 13:27:15 +0000 Subject: Connectionists: 1st CFP: LVA/ICA 2018 (14th International Conference on Latent Variable Analysis and Signal Separation) Message-ID: Dear all, == CALL FOR PAPERS - LVA/ICA == 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6 2018 University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 Paper submission deadline: January 15th, 2018 The international conference on Latent Variable Analysis and Signal Separation, LVA/ICA, is an interdisciplinary forum where researchers and practitioners can experience a broad range of exciting theories and applications involving signal processing, applied statistics, machine learning, linear and multilinear algebra, numerical analysis and optimization, and other areas targeting Latent Variable Analysis problems. We are pleased to invite you to submit research papers to the 14th LVA/ICA which will be held at the University of Surrey, Guildford, UK, from the 2nd to the 6th of July, 2018. The conference is organized by the Centre for Vision, Speech and Signal Processing (CVSSP); and the Institute of Sound Recording (IoSR). == Topics == The proceedings will be published in Springer-Verlag's Lecture Notes in Computer Science (LNCS). Prospective authors are invited to submit original papers (8-10 pages in LNCS format) in areas related to latent variable analysis, independent component analysis and signal separation, including but not limited to: - Theory: * sparse coding, dictionary learning * statistical and probabilistic modeling * detection, estimation and performance criteria and bounds * causality measures * learning theory * convex/nonconvex optimization tools * sketching and censoring for large scale data - Models: * general linear or nonlinear models of signals and data * discrete, continuous, flat, or hierarchical models * multilinear models * time-varying, instantaneous, convolutive, noiseless, noisy, over-complete, or under-complete mixtures * Low-rank models, graph models, online models - Algorithms: * estimation, separation, identification, detection, blind and semi-blind methods, non-negative matrix factorization, tensor decomposition, adaptive and recursive estimation * feature selection * time-frequency and wavelet based analysis * complexity analysis * Non-conventional signals (e.g. graph signals, quantum sources) - Applications: * speech and audio separation, recognition, dereverberation and denoising * auditory scene analysis * image segmentation, separation, fusion, classification, texture analysis * biomedical signal analysis, imaging, genomic data analysis, brain-computer interface - Emerging related topics: * sparse learning * deep learning * social networks * data mining * artificial intelligence * objective and subjective performance evaluation == Important Dates == Paper submission deadline: January 15, 2018 Notification of acceptance: March 12, 2018 Camera ready submission: April 16, 2018 Summer School: July 2, 2018 Conference: July 3-6, 2018 For further information and updates, please visit the conference website: http://cvssp.org/events/lva-ica-2018 We look forward to your participation, The LVA/ICA 2018 Organizing Committee Email: lva.ica.2018 at gmail.com From carsten.eickhoff at inf.ethz.ch Fri Sep 8 11:16:34 2017 From: carsten.eickhoff at inf.ethz.ch (Carsten Eickhoff) Date: Fri, 8 Sep 2017 17:16:34 +0200 Subject: Connectionists: PhD Position in Machine Learning and Data Science available at ETH Zurich Message-ID: The Data Analytics Lab at ETH Zurich is looking for a motivated and talented PhD student, driven to get involved in cutting edge research in the areas of machine learning, data science and information retrieval with strong application in the biomedical sector. The position is fully funded for four years. The project will be carried out in collaboration with Brown University in the USA and has access to considerable amounts of patient data provided by a number of European and US clinical partners. The PhD candidate will join an excellent and highly ambitious team at the forefront of research in the area of biomedical data science with the goal of enhancing clinical research and practice by large-scale data-driven methods. Starting dates are flexible but we are looking to hire as soon as possible. The successful candidate should hold an MSc degree in Computer Science, Statistics, Applied Mathematics or related disciplines. An interdisciplinary perspective and experience is valued. Specifically experience in one or more of the following topics will be helpful: Machine learning (Deep-learning in particular), Data Science, Information Retrieval, Natural Language Processing, Biomedical Science. Excellent programming skills in Python or other high-level languages are expected and experience with frameworks such as Scikit-learn, Lucene, Tensorflow, Torch or CUDA are beneficial. Fluent communication skills (written and presentation) in English are essential. Due to the close collaboration with Brown University, the successful candidate is expected to visit our partners in the US for extended periods. We look forward to receiving your application including a research statement and cover letter outlining areas of interest, CV, course transcripts (with grades) and contact details of 2 referees. Please note that we exclusively accept applications submitted through our online application portal at (https://apply.refline.ch/845721/5655/pub/1/index.html). Applications via email or postal services will not be considered. Should you run into difficulties when submitting your application please send an email to recruitingsupport at ethz.ch for advice. For further information about the research group please visit our website http://da.inf.ethz.ch. Questions regarding the position should be directed to Carsten Eickhoff by email carsten.eickhoff at inf.ethz.ch (no applications). -------------- next part -------------- An HTML attachment was scrubbed... URL: From malin.sandstrom at incf.org Fri Sep 8 09:31:24 2017 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Fri, 8 Sep 2017 15:31:24 +0200 Subject: Connectionists: Software Carpentry workshop at SfN - apply latest September 11 Message-ID: Dear all, on November 9th-10th INCF will hold a two-day Software Carpentry workshop at the George Washington University Marvin Center in Washington DC, to dovetail with the annual meeting of the Society for Neuroscience. The workshop will focus on software tools to make researchers more effective, allowing them to automate research tasks, track their research over time, and use programming to accelerate their research, and make it more reproducible. For details about the workshop please refer to the following web-page: https://incf.github.io/2017-11-09-sfn/ Participation is *free*, but because space is limited, we ask that participants apply to participate through the following web form: https://goo.gl/forms/09QyOPp3hFzw4ln63 *Application deadline is September 11th* Feel free to distribute this message widely among your colleagues, and to email Ariel Rokem (arokem at uw.edu) with any questions about the workshop. Best regards, Malin -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Fri Sep 8 12:14:23 2017 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Fri, 8 Sep 2017 17:14:23 +0100 Subject: Connectionists: Workshop Proposals - SDM'18: THE EIGHTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING Message-ID: <382149ed-0979-e5fe-8d9c-e95870584977@isep.ipp.pt> SDM'18: THE EIGHTEENTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING May 3 - May 5, 2018 San Diego Marriott Mission Valley San Diego, California, USA http://www.siam.org/meetings/sdm18/ ------------ CALL FOR WORKSHOPS ------------ The SDM18 organizing committee invites proposals for workshops to be held in conjunction with the conference. The purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of knowledge discovery and data mining. Ideally a workshop should foster interactions between different communities within the scope of SDM (e.g. statisticians, computer scientists, industry, academia etc.). A workshop should not be a mini-conference, but rather it should encourage the presentation of novel ideas, even if they are in an early stage of development, contact between different points of view, and active exchanges between participants. Therefore publishing notes is optional for the SDM workshops. The responsibilities of the workshop organizers include: - preparing the call for papers and publicizing it - maintaining the workshop web site - deciding the workshop program content; - inviting speakers, inviting reviewers, selecting the papers through a peer review process - delivering the notes to the press in time (if the workshop organizers decide to publish notes), and - delivering the final workshop program to the workshop chair in time. Workshop proposals should be prepared as a web page and its URL is sent via e-mail to the SDM18 Workshop Co-Chairs: You will receive an acknowledgment of receipt within 24 hours. Please contact us if you do not receive a receipt within 24 hours. Please send the URL to Joao Gama (jgama at fep.up.pt) and Jing Gao (jing at buffalo.edu) by October 6, 2017 11:59 PM (US Pacific Time). A workshop proposal should include the following information: - Workshop title - Full contact information of the organizers - A description of the workshop including objectives, content, topics of interest. - A description of the format (e.g invited talks, round table, accepted presentations, etc) should be included. Please indicate your preference regarding the length of the workshop: half-day or full-day. If you are only interested in hosting a full day workshop then please indicate so. - A short description of the target audience. - List of potential participants: For workshops this could include potential program committee members, potential authors and invited speakers. - A summary of previous editions of the workshop (if it was run before), with an emphasis on number of attendees and paper submissions. - A short biography of each organizer (Please include your experience on organizing workshops and conferences). Proposals will be judged by a sub-committee of the SDM18 organizing committee based on the above information. Particular preference will be given to proposals that demonstrate the ability to foster interactions among multiple communities, as noted above. We prefer workshops in which there is participation of diverse people who may not have worked with one another in the past, or which bridge between traditional SDM topics and communities and other fields. We also welcome proposals focusing on application issues or economical and social aspects of data mining. External sources of funding or sponsorship for special events held along with the workshop (e.g. invited talks, poster session) can be optionally included in the proposal submission. For any question regarding the workshops for SDM18, please contact the workshop co-chairs. Important Dates: Submission of Workshop Proposals: October 6, 2017 11:59 PM (PDT) Notifications: November 6, 2017 11:59 PM (PDT) Workshop Websites Linked to SDM17: November 20, 2017 11:59 PM (PDT) Final Workshop Notes to SDM with Program: February 14, 2018 11:59 PM (PDT) FOLLOW SDM ------------------------------------------------------------ https://twitter.com/SIAMDataMining Twitter hashtag: #SIAMSDM18 https://www.facebook.com/events/324672047986484/ ORGANIZING COMMITTEE ------------------------------------------------------------ STEERING COMMITTEE CHAIR Srinivasan Parthasarathy, Ohio State University, USA Zoran Obradovic, Temple University, USA CONFERENCE CO-CHAIRS Dimitrios Gunopulos, University of Athens, Greece Tanya Berger-Wolf, University of Illinois at Chicago, USA PROGRAM CO-CHAIRS Martin Ester, Simon Fraser University, Canada Dino Pedreschi, University of Pisa, Italy WORKSHOP CO-CHAIRS Joao Gama, University of Porto-LIAAD, Portugal Jing Gao, SUNY Buffalo, USA TUTORIAL CHAIR Yan Liu, University of Southern California, USA DOCTORAL FORUM CHAIR Julian McAuley, University of California, San Diego, USA PUBLICITY CO-CHAIRS Zhenhui Li, Pennsylvania State University, USA Gregor Stiglic, University of Maribor, Slovenia PANEL CHAIR TBA SPONSORSHIP CO-CHAIRS Matteo Riondato, TwoSigma, USA Jiliang Tang, Michigan State University, USA AWARDS CHAIR TBA Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From mohri at cs.nyu.edu Sat Sep 9 13:12:45 2017 From: mohri at cs.nyu.edu (Mehryar Mohri) Date: Sat, 9 Sep 2017 13:12:45 -0400 Subject: Connectionists: ALT 2018 CFP - submission deadline: October 27, 2017. Message-ID: <79534EA0-01CA-411D-91C7-FB1595EE30F7@cs.nyu.edu> ALT 2018 - Call for Papers The 29th International Conference on Algorithmic Learning Theory (ALT 2018) will be held in Lanzarote, Spain, on April 7-9, 2018 (http://www.cs.cornell.edu/conferences/alt2018/ ). The conference will be co-located with AISTATS 2018, which immediately follows ALT 2018. This is a new ALT: new submission time, new conference time, new program, and a new ambition, to substantially grow its audience and let ALT be known as the best conference in algorithmic and theoretical machine learning. The ALT 2018 conference is dedicated to all theoretical and algorithmic aspects of machine learning. We invite submissions with contributions to new or existing learning problems including, but not limited to: Design and analysis of learning algorithms. Statistical and computational learning theory. Online learning algorithms and theory. Optimization methods for learning. Unsupervised, semi-supervised, online and active learning. Connections of learning with other mathematical fields. Artificial neural networks, including deep learning. High-dimensional and non-parametric statistics. Learning with algebraic or combinatorial structure. Bayesian methods in learning. Planning and control, including reinforcement learning. Learning with system constraints: e.g. privacy, memory or communication budget. Learning from complex data: e.g., networks, time series, etc. Interactions with statistical physics. Learning in other settings: e.g. social, economic, and game-theoretic. We are also interested in papers that include viewpoints that are new to the ALT community. We welcome experimental and algorithmic papers provided they are relevant to the focus of the conference by elucidating theoretical results, or by pointing out an interesting and not well understood behavior that could stimulate theoretical analysis. Paper submission deadline: October 27, 2017, 11:59PM EST. Awards ALT 2018 will have both a best student paper award (E.M. Gold Award) and a best paper award. Authors must indicate at submission time if they wish their paper to be eligible for a student award. This does not preclude the paper to be eligible for the best paper award. The paper can be co-authored by other researchers. Policy Each submitted paper will be reviewed by the members of the program committee and be judged on clarity, significance and originality. Joint submissions to other conferences with published proceedings are not allowed. Papers that have appeared in or are under review for other conferences are not appropriate for ALT 2018. The same policy applies to journals, unless the submission is a shorter version of a paper submitted to a journal and has not yet been published. It is, however, acceptable to submit to ALT work that has been made available as a technical report or similar, for example on http://www.arxiv.org . Tutorials We also invite proposals for a tutorial presentation. These should be dealing with a learning theory topic covered within two hours. Proposals are limited to 2 pages and should include a one page abstract as well as links to any relevant material such as existing slides or other teaching material. Tutorials Submission Deadline: November 17, 2017. Formatting There is no page limit for submissions, and submissions should include all proofs and technical details necessary to understand the results. However, referees are not required to read beyond the first 12 pages when reviewing submissions. Therefore, it is recommended that the first 12 pages contain a clear presentation of the papers main contributions and at least sketches of the main arguments. All accepted papers will be published as a volume in the JMLR Workshop and Conference Proceedings series, and will be available online during the conference. Submissions should be formatted according to the instructions on the following page: http://www.jmlr.org/format/format.html . Submission The reviewing process is not double-blind. Authors should list their names and affiliations in their submissions. Authors can submit their papers electronically via our submission page https://www.easychair.org/conferences/?conf=alt18 which will be opened for submissions in October 2017. Important Dates: Paper submission deadline: October 27, 2017, 11:59PM EST. Tutorial submission deadline: November 17, 2017, 11:59PM EST. Author notification: December 15, 2017. Conference: April 7-9, 2018. Contact For queries please contact the ALT 2018 PC co-chairs at alt18 at easychair.org Best, Mehryar Mohri and Karthik Sridharan Program co-chairs, ALT 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.andras at keele.ac.uk Mon Sep 11 10:24:27 2017 From: p.andras at keele.ac.uk (Peter Andras) Date: Mon, 11 Sep 2017 15:24:27 +0100 Subject: Connectionists: Assistant Professor (Machine Learning / Computational Neuroscience) Message-ID: <0d5701d32b09$acee1320$06ca3960$@keele.ac.uk> Assistant Professor (Lecturer) in Computer Science Keele University - School of Computing and Mathematics Salary: ?33,943 to ?39,324 p.a. Grade 7a Hours: Full Time Contract Type: Permanent Closes: 20th September 2017 Job Ref: KU00000544 Keele University is renowned for its exciting approach to higher education, innovative research, beautiful campus, strong community spirit and excellent student experience. With a turnover in excess of ?134 million, over 10,000 students and a total staff of approximately 2000, the University provides high quality teaching across a wide range of academic and vocational subjects and promotes world-class research. Further information can be found at http://www.keele.ac.uk. This post represents an exciting opportunity for an ambitious individual to join a team of staff in Keele University?s Faculty of Natural Sciences. The Faculty is responsible for research and teaching in many areas of computer science, mathematics, and the physical and biological sciences. Applications are welcome from dynamic and enthusiastic individuals committed to high quality teaching and research in any relevant field of Computer Science (e.g. software engineering, security, human-computer interaction, biological computation, machine learning, formal methods, distributed systems ? but not restricted to these particular fields), and who have interests that complement our existing research strengths while broadening the scope of our teaching expertise. The Assistant Professor (UK term: Lecturer) post is part of continued growth and expansion of computer science at Keele, which presents many new opportunities for the development of synergies in both teaching and research. Candidates will be expected to develop an active research programme that both complements and extends our existing research profile in Computer Science. Candidates are also expected to develop research collaborations with colleagues at Keele and elsewhere in strategic research areas of the University, such as smart energy, big data or ageing research. Details of the research carried out in Computer Science at Keele can be found at: http://www.keele.ac.uk/scm/research/compsci/ The successful candidate will have a PhD in an appropriate area of Computer Science (or be very close to completion of his/her PhD) and will have a strong commitment to delivering high quality undergraduate teaching, including supervision of undergraduate and postgraduate research projects and the development and delivery of new modules. The post-holder will have the skills, enthusiasm and flexibility for teaching across a wide range of computer science topics and will also contribute to recruitment activities and administrative duties within our Computer Science programmes. Informal enquires can be made to Professor Peter Andras on 01782 733412 or p.andras at keele.ac.uk Keele University is committed to the principles of the Athena SWAN charter, and values equality and diversity across our workforce. We strive to ensure that our workforce is representative of broader society, and therefore, we would actively welcome applications from women for this role. For full post details and online application form please visit: www.keele.ac.uk/vacancies Or follow the link: people.keele.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID%3 d061051EnUQ &WVID=0493472Nsk&LANG=USA Interviews will be held on: 18th October 2017 --- Professor Peter Andras Professor of Computer Science and Informatics Director of Postgraduate Research, Faculty of Natural Sciences Head of Computing Division, School of Computing and Mathematics Keele University Keele, Staffordshire ST5 5BG UK Tel. +44-1782-733412 Fax. +44-1782-734268 E-mail: p.andras at keele.ac.uk Web: www.scm.keele.ac.uk/staff/p_andras/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Mon Sep 11 09:15:14 2017 From: max.garagnani at gmail.com (Max Garagnani) Date: Mon, 11 Sep 2017 14:15:14 +0100 Subject: Connectionists: New Master in Computational Cognitive Neuroscience In-Reply-To: References: Message-ID: Hello, I wonder whether if would be possible to include the message appended below in the next list digest?.. Many thanks & kind regards, Max ? Dr. Max Garagnani, Ph.D. Ph.D. Department of Computing Goldsmiths, University of London Lewisham Way, New Cross, London SE14 6NW United Kingdom Tel. +44 (0)20 7919 7596 (dir.) Tel. +44 (0)20 7919 7850 Fax: +44 (0)20 7919 7853 https://www.gold.ac.uk/computing/people/garagnani-max/ _______________ *************** Please forward to relevant undergraduate Programme Leaders or interested parties: The Department of Computing and Psychology at Goldsmiths, University of London (UK) are pleased to announce the launch of a new MSc programme in Computational Cognitive Neuroscience: http://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ Applications are currently being accepted for the 2018 ? 19 Academic Year. For any queries or further information, please contact the Programme co-directors: Dr. Maria Herrojo-Ruiz (M.Herrojo-Ruiz at gold.ac.uk) Dr. Max Garagnani (M.Garagnani at gold.ac.uk) ________________ **************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From yang at maebashi-it.org Mon Sep 11 03:07:27 2017 From: yang at maebashi-it.org (Yang) Date: Mon, 11 Sep 2017 16:07:27 +0900 Subject: Connectionists: [Final Extension - Sept 30] - BI 2017 - Call for Abstracts Message-ID: [Apologies if you receive this more than once] CALL FOR ABSTRACTS The 2017 International Conference on Brain Informatics (BI'17) "Investigating the Brain and Mind from Informatics Perspective" November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------- DEADLINE EXTENDED: September 30, 2017 One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B --------------------------------------- *** INVITED SPEECHES *** 1. "Multimodal Modelling of Network Propagation of Neuropathology in Dementia" Alan Evans (McGill University, Canada) 2. "Neural Correlates of Word, Sentence and Story Comprehension" Tom Mitchell (Carnegie Mellon University, US) 3. "The Cognitive Neural Basis of Object Knowledge" Yanchao Bi (Beijing Normal University, China) 4. "Harnessing Large-Scale Data-Sharing to Drive Discovery and Bench-to-Bedside Translation in Traumatic Brain Injury and Spinal Cord Injury" Adam Ferguson (University of California San Francisco, US) 5. "Computational Psychophysiology Based Research Methodology for Mental Health" Bin Hu (Lanzhou University, China) 6. "Multiscale Gene Expression Signatures in the Mammalian Brain in Health and Disease" Michael Hawrylycz (Allen Institute for Brain Science, US) 7. "Machine Learning in Medical Imaging Analysis" Dinggang Shen (University of North Carolina at Chapel Hill, US) *** WORKSHOPS AND SPECIAL SESSIONS *** ++++++++++++++++++++++++++++++++++++++++++++ Abstract submission (TYPE II) is still open! ++++++++++++++++++++++++++++++++++++++++++++ To submit abstracts to workshops/special sessions, please visit http://bii.ia.ac.cn/bi-2017/workshops.htm # Workshop on Brain and Artificial Intelligence (BAI 2017) Organizers: Yi Zeng, Chinese Academy of Sciences, China Shuliang Wang, Beijing Institute of Technology, China # Workshop on Knowledge Representation: Brain and Machine (KRBM 2017) Organizers: Yanchao Bi, Beijing Normal University, China Yi Zeng, Chinese Academy of Sciences, China # Workshop on Affective, Psychological and Physiological Computing (APPC 2017) Organizers: Bin Hu, Lanzhou University, China Zhijun Yao, Lanzhou University, China Mi Li, Beijing University of Technology, China # Workshop on Big Data and Visualization for Brainsmatics (BDVB 2017) Organizers: Qingming Luo, Huazhong University of Science and Technology, China Anan LI, Huazhong University of Science and Technology, China # Workshop on Brain Big Data Based Wisdom Service (BBDBWS 2017) Organizer: Jiajin Huang, Beijing University of Technology, China # Workshop on Semantic Technology for eHealth (STeH 2017) Organizers: Jiao Li, Chinese Academy of Medical Sciences, China Zhisheng Huang, Vrije University Amsterdam, The Netherlands # Workshop on Big Data Neuroimaging Analytics for Brain and Mental Health (BDNABMH 2017) Organizer: Shouyi Wang, University of Texas at Arlington, USA # Workshop on Novel Methods of the Brain Imaging in the Clinical and Preclinical Neuroscience (NMBICPN 2017) Organizers: Vassiliy Tsytsarev, University of Maryland School of Medicine, USA Vicky Yamamoto, Keck School of Medicine of USC, USA Yan Li, University of Southern Queensland, Australia # The 1st International Workshop on Deep Learning in Brain MRI and Pathology Images (DLBMPI 2017) Organizers: Yan Xu, School of Biological Science and Medical Engineering, BUAA Eric Chang, Microsoft Research Asia # Workshop on Mesoscopic Brainformatics (MBAI 2017) Organizers: Dezhong Yao, University of Electronic Science and Technology of China, China Pedro A. Valdes-Sosa, University of Electronic Science and Technology of China, China Yong He, Beijing Normal University, China Li Dong, University of Electronic Science and Technology of China, China # Special Session on Brain Informatics in Neurogenetics (BIN 2017) Organizers: Hong Liang, Harbin Engineering University, China Lei Du, Northwestern Polytechnical University, China Li Shen, Indiana University School of Medicine, USA # Special Session on BigNeuron Project (BP 2017) Organizers: Zhi Zhou, Allen Institute for Brain Sciences, USA Min Liu, Hunan University, China ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES : =========================== September 30, 2017: Submission deadline for abstracts (TYPE-II) (for both main conference and workshops/special sessions) November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ABSTRACT (TYPE-II) SUBMISSIONS : ================================= (Submission Deadline: September 30, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. ----------------------------------------------- One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B ----------------------------------------------- *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted abstracts from the conference will be expanded and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang at ia.ac.cn shouyiw at uta.edu yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Mon Sep 11 13:40:12 2017 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Mon, 11 Sep 2017 13:40:12 -0400 Subject: Connectionists: NEURON course at SFN 2017 meeting Message-ID: <9ff47b33-e15b-bda1-fa4d-77a2de43fe43@yale.edu> Space is still available for the NEURON course at this year's meeting of the Society for Neuroscience. If you're a lab director trying to decide whether to add computational modeling to your research program, a grad student or postdoc who is just getting started in modeling, or an established NEURON user who wants to find out what the latest advances are, this one-day course is for you! It starts with a practical introduction that reviews basic concepts and presents a workflow for building and using models of cells and networks, and moves on to topics that include how to speed up simulations, using Python with NEURON, and modeling reactive diffusion with the RxD class. For more information and the registration form, see https://www.neuron.yale.edu/neuron/static/courses/dc2017/dc2017.html --Ted From michaelekstrand at boisestate.edu Mon Sep 11 19:50:41 2017 From: michaelekstrand at boisestate.edu (Michael Ekstrand) Date: Mon, 11 Sep 2017 17:50:41 -0600 Subject: Connectionists: CFP: Conference on Fairness, Accountability, and Transparency Message-ID: Announcing a new Conference on Fairness, Accountability, and Transparency (FAT*) http://fatconference.org Paper registration deadline: Sept 29th Paper submission deadline: Oct 6th Conference: Feb 23 and 24th at NYU, NYC FAT* is an international and interdisciplinary peer-reviewed conference that seeks to publish and present work examining the fairness, accountability, and transparency of algorithmic systems. The FAT* conference solicits work from a wide variety of disciplines, including computer science, statistics, the humanities, and law. It intends to bring together the community that has grown through a number of workshops at other conferences, including FATML at NIPS, ICML, and KDD; FATREC at RecSys; Ethics in NLP at EACL, Machine Learning and the Law at NIPS; the Workshop on Data and Algorithmic Bias at CIKM; the Workshop on Discrimination and Privacy-Aware Data Mining at ICDM; Workshop on Human Interpretability at ICML; and the Workshop on Data and Algorithmic Transparency. To ensure that all submissions to FAT* are reviewed by a knowledgable and appropriate set of reviewers, the conference is divided into tracks with separate track chairs: 1. Theory and Security, chaired by Anupam Datta (Carnegie Mellon University) and Aaron Roth (University of Pennsylvania) 2. Statistics, Machine Learning, Data Mining, NLP, and Computer Vision, chaired by Alexandra Chouldechova (Carnegie Mellon University), Been Kim (Google), Dirk Hovy (University of Copenhagen), and Michael Kearns (University of Pennsylvania) 3. Programming Languages, Databases, and other Systems (Recommender, Information Retrieval, etc.), chaired by Aws Albarghouthi (University of Wisconsin - Madison), Michael Ekstrand (Boise State University), and Gerome Miklau (University of Massachusetts - Amherst) 4. Visualization, Human Computer Interaction, and User Studies, chaired by Carlos Scheidegger (University of Arizona) and Karrie Karahalios (UIUC) 5. Measurement and Algorithm Audits, chaired by Christian Sandvig (University of Michigan) and Arvind Narayanan (Princeton University) 6. Law, Policy, and Social Science, chaired by danah boyd (Microsoft Research and the Data & Society Research Institute) and Ryan Calo (University of Washington) Full details in the Call for Papers: https://fatconference.org/2018/cfp.html FAT* welcomes full paper submissions that extend previously published short papers (e.g. from workshops). -- Michael D. Ekstrand ? michaelekstrand at boisestate.edu ? https://md.ekstrandom.net Assistant Professor, Dept. of Computer Science, Boise State University People and Information Research Team (PIReT) ? http://coen.boisestate.edu/piret/ From azahkm at gmail.com Tue Sep 12 00:53:30 2017 From: azahkm at gmail.com (Azah Kamilah Muda) Date: Tue, 12 Sep 2017 12:53:30 +0800 Subject: Connectionists: CFP : 8th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'17 - Sprimger Message-ID: Apologies for cross-posting. Kindly help to distribute this CFP to your mailing list. *-- The 8th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA'17) --* http://www.mirlabs.net/ibica17 http://www.mirlabs.org/ibica17 Morocco, *Indexed by*: SCOPUS, Thomson ISI Web of Science, DBLP etc. *History of IBICA series:* http://www.mirlabs.net/ibica17/previous.php *IBICA 2017: Scopus Proceedings* All *accepted and registered *papers will be published in *AISC Series of Springer*, indexed in *ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink. *Proceedings will be made available during the conference. Expanded versions of selected papers will be published in special issues of internationally referred journals (indexed by SCI) and edited volumes. *** Important Dates *** ---------------------------- Paper submission due: September 30, 2017 Notification of paper acceptance: October 31, 2017 Registration and Final manuscript due: November 15, 2017 Conference: December 11 - 13, 2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *About IBICA'17:* ----------------------- The International Conference on Innovations in Bio-Inspired Computing and Applications is to provide a platform for world research leaders and practitioners, to discuss the ?full spectrum? of current theoretical developments, emerging technologies, and innovative applications of Bio-inspired Computing. Bio-inspired Computing is currently one of the most exciting research areas, and it is continuously demonstrating exceptional strength in solving complex real life problems. The main driving force of the conference is to further explore the intriguing potential of Bio-inspired Computing. All accepted and registered papers will be included in the conference proceedings to expected be published by Springer. *Topics (not limited to) *-------------------------------- (A) Bio-inspired Computing Ant Colony System Artificial Immune Systems Artificial Intelligence Artificial Neural Networks Cellular Automaton Cognitive Modeling DNA Computing Differential Evolution Emergent Systems Evolutionary Computations Evolutionary Strategies/Programming Fuzzy Logic Genetic Algorithms/Programming Granular Computing Neutrosophic Systems Organic Computing P Systems Particle Swarm Optimization (B) Emerging Technologies & Applications: Biomedicine Bioinformatics Business Intelligence Cloud Computing Data Mining and Knowledge Discovery E-learning Financial Computing Healthcare Life Sciences Multimedia Applications Network Management Robotics Social Networks Analysis and Computing System Control and Optimization Ubiquitous/Pervasive Computing Web Intelligence Wireless/Sensor Networks Other Applications (C) Intelligent Distributed and High-Performance Architecture Hybrid systems involving software agents and human actors Intelligent cloud infrastructures Agent-based wireless sensor networks Distributed frameworks and middleware for the Internet of Things GPU, multicore, and many-core intelligent computing Intelligent grid Intelligent high-performance architectures Context-aware intelligent computing Virtualization infrastructures for intelligent computing ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *Submission Guidelines:* --------------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: http://www.springer.com/series/11156 IBICA?17 Submission Link: http://www.easychair.org/conferences/?conf=ibica2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ** Organizing Committee ** ------------------------------------ General Chairs: Abdelkrim Haqiq, Hassan 1stUniversity, Settat, Morocco Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA Layth Sliman, EFREI, Paris, France Adel M. Alimi, University of Sfax, Tunisia Technical Committee (Please refer website): http://www.mirlabs.net/ibica17/committees.php *For technical contact: *------------------------------ Ajith Abraham Email: ajith.abraham at ieee.org -- Best Regards, Azah Muda -------------- next part -------------- An HTML attachment was scrubbed... URL: From yulia.sandamirskaya at ini.rub.de Tue Sep 12 10:53:03 2017 From: yulia.sandamirskaya at ini.rub.de (Yulia Sandamirskaya) Date: Tue, 12 Sep 2017 16:53:03 +0200 Subject: Connectionists: EUCOG2017: Abstract submission deadline approaching (Sept. 17) Message-ID: <26ED2763-5C3D-4F20-A940-D6317B0F4239@ini.rub.de> Dear colleagues, the deadline for submitting Abstracts of contributions to the next EUCOG2017 conference in Z?rich is approaching: Sept. 17, 2017 https://easychair.org/conferences/?conf=eucog2017 We will have a strictly limited space at the conference (100 participants) and preference will be given to EUCog members and researchers who have an accepted abstract on the first come first served basis. The registration for the conference is now also open: https://eucog2017.iniforum.ch Let us know if there is any problem with the registration page or payment procedure. ********CfP*********************** EUCOG-2017 CONFERENCE: Event information: EUCOG 2017: ?Learning: Beyond Deep Neural Networks? European Society for Cognitive Systems November 23th-24th, 2017 University of Z?rich, R?mistrasse 59, 8001 Z?rich, Switzerland http://eucognition.org/index.php?page=2017-zurich-general-info For over a decade, the EUCognition network (EUCog) has brought together academic researchers and industrial partners with a common interest in the design and construction of artificial cognitive systems in ways that are informed by, or attempt to explain, biological cognition. The emphasis is on systems that are autonomous, robust, flexible and self-improving in pursuing their goals in real environments. EUCog not only includes researchers who use insights from natural cognition in creating artificial cognitive systems for robotic and other technical applications but also those interested in using artificial cognitive systems to understand natural cognition. The field includes computer science, robotics, cognitive science, neuroscience, and philosophy as its core disciplines. EUCog will hold its next meeting this coming November in Zurich. The focus of the event will be community building, as well as presenting cutting-edge research in the field of artificial cognitive systems. The meeting is open to all: one need not be a past or current member of the EUCog network to attend. ========================================= INVITED SPEAKERS: Mathew Luciw ("Neurala", Boston) More to be confirmed soon ========================================= ORGANISERS Vincent C. M?ller (Anatolia College/ACT & University of Leeds) Ron Chrisley (University of Sussex) Yulia Sandamirskaya, Raphaela Kreiser, Elisa Donatti (University of Zurich & ETH Z?rich): local organisers ========================================= THEME: LEARNING: BEYOND DEEP NEURAL NETWORKS Key issues to be explored at the meeting include: ? Successes and limitations of deep learning in robotics and cognitive systems ? Can cognitive architectures help to overcome limits of deep learning? ? What role can cognitive systems play in design of (machine) learning systems? ? How can deep learning be integrated in cognitive architectures? ? What can we learn from biological learning systems? ========================================= REGISTRATION Online registration is now open: https://eucog2017.iniforum.ch ========================================= KEY DATES Deadline for submission of abstracts and long abstracts: 17.09.2017 https://easychair.org/conferences/?conf=eucog2017 Decisions announced: 30.09.2017 Conference: 23.-24.11.17 Deadline for submission of posters/papers for publication: 30.10.17 Early registration deadline: 01.11.2017 ========================================= ? Dr. Yulia Sandamirskaya Neuroscience Center Zurich (ZNZ) Institute of Neuroinformatics University and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: yulia.sandamirskaya at ini. uzh.ch Tel: +41 77 97 46613, +41 44 63 53045 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jj at udc.es Tue Sep 12 07:51:31 2017 From: jj at udc.es (Juan =?utf-8?Q?Jes=C3=BAs?= Romero Cardalda) Date: Tue, 12 Sep 2017 13:51:31 +0200 (CEST) Subject: Connectionists: CFP. Evomusart 2018. International Conference on Computational Intelligence in Music, Sound, Art and Design In-Reply-To: <1803668782.23280.1505217055126.JavaMail.zimbra@udc.es> References: <564455642.21503.1505216780292.JavaMail.zimbra@udc.es> <1484368168.22449.1505216889426.JavaMail.zimbra@udc.es> <609911804.22557.1505216917069.JavaMail.zimbra@udc.es> <934686364.22738.1505216946039.JavaMail.zimbra@udc.es> <140548764.22852.1505216966992.JavaMail.zimbra@udc.es> <746810587.23044.1505217012507.JavaMail.zimbra@udc.es> <2046992721.23191.1505217033165.JavaMail.zimbra@udc.es> <1803668782.23280.1505217055126.JavaMail.zimbra@udc.es> Message-ID: <557809000.23627.1505217091812.JavaMail.zimbra@udc.es> Please distribute (Apologies for multiple posting) ------------------------------------------------ Second Call for papers for the 7th EVOMUSART conference ------------------------------------------------ This year some papers from Evomusart will be selected for a new Springer book titled ?The handbook off Artificial intelligence and the Arts? edited by Juan Romero, Penousal Machado and Gary Greenfield. The 7th International Conference on Computational Intelligence in Music, Sound, Art and Design (evoMUSART) will be held in Parma in 4-6 April 2018, as part of the evo* event. The main goal of EvoMusArt is to bring together researchers who are using Computational Intelligence techniques for artistic tasks such as visual art, music, architecture, video, digital games, poetry, or design. The conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Important dates: Submission: 1 November 2017 Notification to authors: 3 January 2018 Camera-ready deadline: 15 January 2018 Evo*: 4-6 April 2018 We welcome submissions which use Computational Intelligence techniques (e.g. Evolutionary Computation, Artificial Life, Machine Learning, Swarm Intelligence) in the generation, analysis and interpretation of art, music, design, architecture and other artistic fields. Submissions must be at most 16 pages long, in Springer LNCS format (instructions downloadable from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Each submission must be anonymised for a double-blind review process and submitted to http://myreview.csregistry.org/evomusart18/ (which should be online soon). The deadline for submission is 1 November 2017, and acceptance notification on 3 January 2018. Accepted papers will be presented orally or as posters at the event and included in the evoMUSART proceedings published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. Topics of interest include, but are not limited to: Generation: * Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; * Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; * Systems that create artifacts such as game content, architecture, furniture, based on aesthetic and functional criteria. * Robotic-Based Evolutionary Art and Music; * Other related artificial intelligence or generative techniques in the fields of Computer Music, Computer Art, etc.; Theory: * Computational Aesthetics, Experimental Aesthetics; Emotional Response, Surprise, Novelty; * Representation techniques; * Surveys of the current state-of-the-art in the area; identification of weaknesses and strengths; comparative analysis and classification; * Validation methodologies; * Studies on the applicability of these techniques to related areas; * New models designed to promote the creative potential of biologically inspired computation; Computer Aided Creativity and computational creativity: * Systems in which computational intelligence is used to promote the creativity of a human user; * New ways of integrating the user in the evolutionary cycle; * Analysis and evaluation of: the artistic potential of biologically inspired art and music; the artistic processes inherent to these approaches; the resulting artefacts; * Collaborative distributed artificial art environments; Automation: * Techniques for automatic fitness assignment * Systems in which an analysis or interpretation of the artworks is used in conjunction with computational intelligence techniques to produce novel objects; * Systems that resort to computational intelligence approaches to perform the analysis of image, music, sound, sculpture, or some other types of artistic object or resource. More information on the submission process of evoMUSART 2018 can be found at http://www.evostar.org/2018/cfp_evomusart.php Past Evomusart papers can be found http://evomusart-index.dei.uc.pt/ We look forward to seeing you in Parma in 2018! The evoMUSART 2018 organisers Juan Romero Antonios Liapis From dengdehao at gmail.com Tue Sep 12 05:23:38 2017 From: dengdehao at gmail.com (Teng Teck Hou) Date: Tue, 12 Sep 2017 17:23:38 +0800 Subject: Connectionists: [INNS-BDDL 2018] Call for Papers Message-ID: <59b7a79a.9678240a.942e7.129a@mx.google.com> [Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3 rd INNS Conference on Big Data and Deep Learning 2018 (INNS BDDL 2018) will be held on April 18 ? 19, 2018 in Sanur ? Bali, Indonesia. The aim of this conference is to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning. Accepted papers will be published by Elsevier, Scopus indexed. Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas ####################Important Dates################################# * Tutorial and workshop proposals (Submission) ?30 September 2017 * Tutorial and workshop proposals (Decision) ?7 October 2017 * Paper submission ????1 December 2017 * Decision notification????8 January 2018 * Camera-ready submission???2 February 2018 * Conference?????17 - 19 April 2018 ################################################################### #########################Keynote Speakers########################## * Geoffrey I. Webb, Monash University, Australia * Kay Chen Tan, City University, Hong Kong ################################################################### #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Valeri Mladenov, Technical University of Sofia, Bulgaria Petia Koprinkova-Hristova, Bulgarian Academy of Sciences, Bulgaria Petia Georgieva, University of Aveiro, Portugal Honorary Board Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontif?cia Universidade Cat?lica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong Kong Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Alfian Futhul Hadi, Universitas Jember, Indonesia Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Kurnianingsih, Politeknik Negeri Semarang, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za?in, La Trobe University, Australia ########################################################## ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization? >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ############################################################################ ##########################Sponsoring Organizations################# * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ################################################################ Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue Sep 12 11:42:33 2017 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 12 Sep 2017 08:42:33 -0700 Subject: Connectionists: NEURAL COMPUTATION - October 1, 2017 In-Reply-To: Message-ID: Neural Computation - Volume 29, Number 10 - October 1, 2017 Available online for download now: http://www.mitpressjournals.org/toc/neco/29/10 ----- Articles Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity From Neural Recordings Tiger W. Lin, Anup Das, Giri P. Krishnan, Maxim Bazhenov, and Terrence J Sejnowski Active Inference, Curiosity and Insight Karl Friston, Marco Lin, Christopher D Frith, Giovanni Pezzulo, Allan Hobson, and Sasha Ondobaka Letters Memory States and Transitions Between Them in Attractor Neural Networks Stefano Recanatesi, Mikhail Katkov, and Misha Tsodyks Infinite Von Mises-Fisher Mixture Modeling of Whole-Brain fMRI Data Rasmus Roge, Kristoffer Madsen, Mikkel N. Schmidt, and Morten Morup Towards an Open-Ended BCI: A User-Centred Co-Adaptive Design Approach Kiret Dhindsa, Dean Carcone, and Suzanna Becker The Two-dimensional Gabor Function Adapted to Natural Image Statistics: A Model of Simple-cell Receptive Fields and Sparse Structure in Images Peter Loxley Non-convex Policy Search Using Variational Inequalities Yusen Zhan, Haitham Bou Ammar, and Matthew Taylor Constrained ERM Learning of Canonical Correlation Analysis: A Least Squares Perspective Jia Cai, Hongwei Sun ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2017 - VOLUME 29 - 12 ISSUES Student/Retired $80 Individual $142 Institution $1,141 MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From zoltan.szabo.list at gmail.com Tue Sep 12 14:19:48 2017 From: zoltan.szabo.list at gmail.com (Zoltan Szabo) Date: Tue, 12 Sep 2017 20:19:48 +0200 Subject: Connectionists: CFP: Learning on Distributions, Functions, Graphs and Groups workshop @ NIPS-2017 Message-ID: Apologies for cross-posting. ========================================================================= CALL FOR PAPERS: Learning on Distributions, Functions, Graphs and Groups workshop @ NIPS-2017 December 8th, 2017 Long Beach, CA, U.S. https://sites.google.com/site/nips2017learningon/ Important dates: - Submission deadline: Oct. 10, 2017 (19:00, UTC). - Notification of acceptance: Oct. 20, 2017 (19:00, UTC). Confirmed speakers: - Kenji Fukumizu (Institute for Statistical Mathematics, Tokyo) - Hachem Kadri (Aix-Marseille University) - Risi Kondor (University of Chicago) - Simon Lacoste-Julien (University of Montreal) - Barnab?s P?czos (Carnegie Mellon University) ========================================================================= Best, Workshop Organizers From martingo at in.tum.de Tue Sep 12 18:30:20 2017 From: martingo at in.tum.de (Anabel Martin-Gonzalez) Date: Tue, 12 Sep 2017 17:30:20 -0500 Subject: Connectionists: ISICS 2018 - Call for papers Message-ID: International Symposium on Intelligent Computing Systems - ISICS 2018 March 21-23, 2018 Merida, Mexico Call for Papers =============== We invite you to submit your papers/posters proposals to the International Symposium on Intelligent Computing Systems 2018 (ISICS 2018) to be held on March 21-23, 2018 in Merida, Mexico. This symposium will focus on the field of artificial intelligence, including computer vision and image processing. The topics of interest covered include, but are not limited to: Deep Learning / Neural Networks / Bayesian learning / Bioinformatics / Classification and clustering / Kernel machines / Feedforward models / Natural language and speech processing / Feature extraction and dimension reduction / Reinforcement Learning / Image processing / Computer Vision / Robotics / Signal processing / Recurrent networks and dynamical systems / Hybrid learning systems / Self-organizing maps / Statistical and mathematical aspects of artificial intelligence / Optimization methods in learning / Data mining / Fuzzy systems / Evolutionary computation / Ontologies Important Dates =============== * Paper submission deadline (extended): September 18, 2017 * Paper decision notification: November 10, 2017 * Camera-ready submission: December 11, 2017 * Poster submission deadline: November 27, 2017 * Poster decision notification: December 13, 2017 * Poster camera-ready submission: January 8, 2018 ISICS website: https://www.isics-symposium.org/ All ISICS 2018 accepted papers will appear in the symposium proceedings published by Springer, in the Communications in Computer and Information Science (CCIS) series. Accepted poster papers will be published in the adjunct symposium proceedings. Authors of selected outstanding papers will be invited to submit extended versions of their papers for consideration of publication in an international journal. Looking forward to your contributions. Regards, Organizing Committee International Symposium on Intelligent Computing Systems (ISICS 2018) https://www.isics-symposium.org/ From eliassi at cs.wisc.edu Wed Sep 13 00:14:47 2017 From: eliassi at cs.wisc.edu (Tina Eliassi-Rad) Date: Wed, 13 Sep 2017 00:14:47 -0400 Subject: Connectionists: Postdoc Position in Machine Learning and Network Science Message-ID: Postdoc Position in Machine Learning and Network Science A postdoctoral position is available for an outstanding individual to conduct research at the intersection of machine learning and network science. The project involves research on network embedding, representation learning, higher-order structures in networks, and the network completion problem. The mentor for this position is Professor Tina Eliassi-Rad at the Northeastern University ?s Network Science Institute and College of Computer and Information Science in Boston, MA. Qualifications: * A recent Ph.D. in Computer Science, Network Science, Information Science, Statistics, or related fields. * Expertise in machine learning and data mining. * Experience working with complex networks. * Strong programming skills in Python, C, MATLAB, or R. Start date: January 8, 2018 Salary: Commensurate with experience. Duration: One year with the possibility of renewal for a second year. Deadline: The initial review date is November 15, 2017 (but sooner is better). Position will remain open until filled. Application: 1. Please email a cover letter and your curriculum vitae to t.eliassirad at northeastern.edu as one single PDF file; and make sure to include the string "[MLNS Postdoc]" at the beginning of your subject line. 2. Arrange for two letters of recommendation to be sent directly to t.eliassirad at northeastern.edu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.goodhill at uq.edu.au Wed Sep 13 23:11:38 2017 From: g.goodhill at uq.edu.au (Geoffrey Goodhill) Date: Thu, 14 Sep 2017 03:11:38 +0000 Subject: Connectionists: SCiNDU abstract deadline Oct 1st Message-ID: <12e9699f4a8846a6a4ccf3cf109f0d91@uq-exmbx7.soe.uq.edu.au> A reminder that the SCiNDU abstract deadline is October 1st: SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWNUNDER (SCiNDU) Joint meeting with the 2017 QBI Plasticity Workshop and the 10th Australasian Workshop on Neuro-Engineering and Computational Neuroscience Dec 13-15th 2017 Queensland Brain Institute, University of Queensland, Brisbane, Australia http://www.qbi.uq.edu.au/scindu Confirmed speakers: Polina Anikeeva (MIT) Bernard Balleine (UNSW) Daphne Bavelier (U Geneva) John Bekkers (ANU) Kwabena Boahen (Stanford) Tobias Bonhoeffer (Max Planck Martinsried) Rosa Cossart (INMED Marseille) Kenji Doya (Okinawa) Adrienne Fairhall (U Washington) Marta Garrido (U Queensland) Alex Pouget (U Geneva) Pankaj Sah (U Queensland) Andre van Schaik? (Western Sydney) Rafael Yuste (Columbia) Abstract submissions for poster presentation are due by Oct 1st. Some submissions will be selected for oral presentation. See http://www.qbi.uq.edu.au/scindu for more details. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill at uq.edu.au http://www.qbi.uq.edu.au/professor-geoffrey-goodhill -------------- next part -------------- An HTML attachment was scrubbed... URL: From aditya.gilra at epfl.ch Thu Sep 14 20:17:44 2017 From: aditya.gilra at epfl.ch (Aditya Gilra) Date: Fri, 15 Sep 2017 02:17:44 +0200 Subject: Connectionists: Workshop: From synaptic plasticity to motor control, Sep 19-20 @ EPFL, Lausanne, Switzerland Message-ID: (Apologies for cross-posting.) Hi, We're organizing a workshop titled "From synaptic plasticity to motor control" at EPFL, Lausanne, Switzerland on Sep 19-20, 2017. Theme: How do networks of spiking neurons in the brain learn to predict, plan and control body movements? We explore recent developments at the intersection of control theory, reservoir computing, FORCE learning, function approximation, artificial neural networks, learning theory, and local plasticity rules, to build collaborative directions for modelling biological motor learning. Speaker list (in order of talks): Wulfram Gerstner , Jean-Jacques Slotine , Aude Billard , Timothy Lillicrap , Claudia Clopath , Raoul-Martin Memmesheimer , Aditya Gilra , Sophie Deneve (tbc), Su rya Ganguli , Walter Senn , Herbert Jaeger , Wolfgang Maass . Further information at: http://lcn1.epfl.ch/page-146446-en.html Best, Wulfram and Aditya. -- Wulfram Gerstner and Aditya GIlra, Laboratory of Computational Neuroscience, ?cole Polytechnique F?d?rale de Lausanne. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Alessandro.Dausilio at iit.it Thu Sep 14 04:44:45 2017 From: Alessandro.Dausilio at iit.it (Alessandro D'Ausilio) Date: Thu, 14 Sep 2017 08:44:45 +0000 Subject: Connectionists: [jobs] Post-doctoral Position in Brain- and biosignal-based speech recognition @ the Italian Institute of Technology (IIT) Message-ID: The IIT (Italian Institute of Technology) Centre for Translational Neurophysiology (CTNSC) is hiring 1 post-doc on Brain- and Biosignal-based Automatic Speech Recognition. Please find more information here: https://www.iit.it/careers/openings/opening/515-postdoctoral-position-in-brain-and-biosignal-based-speech-recognition Deadline: September 25th -------------- next part -------------- An HTML attachment was scrubbed... URL: From urut at caltech.edu Thu Sep 14 22:37:37 2017 From: urut at caltech.edu (Ueli Rutishauser) Date: Thu, 14 Sep 2017 19:37:37 -0700 Subject: Connectionists: Postdoctoral fellowship in human intracranial electrophysiology: Cedars-Sinai Medical Center and California Institute of Technology Message-ID: *** Apologies for multiple postings*** A postdoctoral position focused on investigating the neural mechanisms of learning and memory is available in the Laboratory of Ueli Rutishauser at Cedars-Sinai Medical Center and Caltech. The lab is broadly interested in human memory and decision making. We focus on understanding how new long-term memories are formed, how existing memories are retrieved to make choices, how memories for social stimuli such as faces are formed, and on utilizing this knowledge to develop new treatments for memory disorders. We utilize a combination of in-vivo electrophysiology (single-neuron and local field potential recordings), neuroimaging, computational and behavioral approaches. The focus of this project is on single-neuron recordings in epilepsy patients to investigate the role of theta-oscillations in coordinating activity during memory-based decisions. The applicant will join a vibrant and collaborative interdisciplinary research team consisting of investigators at both Cedars-Sinai Medical Center and the California Institute of Technology. We provide ample opportunity for training with state-of-the art equipment, facilities, analytical methods, and experimental techniques. Our work is funded by the NSF, McKnight Endowment fund, and NIH, including a newly established NIH BRAIN consortium between Cedars-Sinai/Caltech (Rutishauser, Mamelak, Adolphs), University of Toronto (Valiante), Johns Hopkins University (Anderson), and Harvard/Childrens (Kreiman). This provides ample opportunity to work with large-scale single-neuron datasets to test model predictions. This position is based at Cedars-Sinai in Los Angeles. Candidates should have a recent PhD in neuroscience or related field with a track-record of first-author publications. Strong programming (Matlab or similar), data analysis, and statistics skills are required. Previous electrophysiology experience is preferred. Excellent written and oral English communication skills are required. Previous human intracranial EEG and/or macaque electrophysiology experience is a strength. The position is available as early as Nov 1st 2017, with a competitive salary and benefits package commensurate with prior experience (NIH scale). The position is available with an initial appointment for one year and renewal based upon satisfactory performance. Cedars-Sinai is an equal opportunity employer. Applicants should send a CV, brief statement of research interests, and contact information for 2-3 references to Ueli Rutishauser at rutishauseru at csmc.edu. Information about the lab and a list of publications can be found at www.rutishauserlab.org . Applications will be reviewed on an ongoing basis. -- Ueli Rutishauser, Ph.D. http://rutishauserlab.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From azahkm at gmail.com Fri Sep 15 00:28:29 2017 From: azahkm at gmail.com (Azah Kamilah Muda) Date: Fri, 15 Sep 2017 12:28:29 +0800 Subject: Connectionists: 2nd CFP : The 9th International Conference on Soft Computing and Pattern Recognition (SoCPaR'17) - Morocco Message-ID: Apologies for cross-posting. Kindly help to distribute this CFP to your mailing list. *-- The 9th International Conference on Soft Computing and Pattern Recognition (SoCPaR'17) --* http://www.mirlabs.net/socpar17 http://www.mirlabs.org/socpar17 *Proceedings of SoCPaR?16:* http://www.springer.com/in/book/9783319606170 *Indexed by*: SCOPUS, Thomson ISI Web of Science, DBLP etc. *History of SoCPaR series:* http://www.mirlabs.net/socpar17/previous.php *SoCPaR 2017: Scopus Proceedings* All *accepted and registered *papers will be published in *AISC Series of Springer*, indexed in *ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink. *Proceedings will be made available during the conference. Expanded versions of selected papers will be published in special issues of internationally referred journals (indexed by SCI) and edited volumes. *** Important Dates *** ---------------------------- Paper submission due: September 30, 2017 Notification of paper acceptance: October 31, 2017 Registration and Final manuscript due: November 15, 2017 Conference: December 11 - 13, 2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *About SoCPaR'17:* ------------------------- The International Conference on Soft Computing and Pattern Recognition (SoCPaR) is a major international conference bringing together researchers, engineers, and practitioners who work in the areas of soft computing and pattern recognition in the industry and real world. Every year, SoCPaR attracts authors from over 30 countries. SoCPaR'17 invites novel contributions/papers of soft computing and pattern recognition from fundamental aspects to various practical applications. All accepted and registered papers will be included in the conference proceedings to expected be published by Springer. *Topics (not limited to) *----------------------------- [Soft Computing and Applications] Evolutionary computing Swarm intelligence Artificial immune systems Fuzzy Sets Uncertainty analysis Fractals Rough Sets Support vector machines Artificial neural networks Case Based Reasoning Wavelets Hybrid intelligent systems Nature inspired computing techniques Machine learning Ambient intelligence Hardware implementations [Pattern Recognition and Applications] Information retrieval Data Mining Web Mining Image Processing Computer Vision Bio-informatics Information security Network security Steganography Biometry Remote sensing Medical Informatics E-commerce Signal Processing Control systems ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *Submission Guidelines:* --------------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: http://www.springer.com/series/11156 SoCPaR?17 Submission Link: http://www.easychair.org/conferences/?conf=socpar2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ** Organizing Committee ** ----------------------------------- General Chairs: Abdelkrim Haqiq, Hassan 1stUniversity, Settat, Morocco Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA Layth Sliman, EFREI, Paris, France Adel M. Alimi, University of Sfax, Tunisia Technical Committee (Please refer website): http://www.mirlabs.net/socpar17/committees.php *For technical contact: *------------------------------- Ajith Abraham Email: ajith.abraham at ieee.org -- Best Regards, Azah Muda -------------- next part -------------- An HTML attachment was scrubbed... URL: From thmurphy at mail.ubc.ca Fri Sep 15 09:14:23 2017 From: thmurphy at mail.ubc.ca (Tim Murphy) Date: Fri, 15 Sep 2017 06:14:23 -0700 Subject: Connectionists: PDF and grad student positions UBC Vancouver mouse in vivo imaging/optogenetics Message-ID: <002901d32e24$8d36b730$a7a42590$@mail.ubc.ca> University of British Columbia Murphy lab: PDF and Graduate students wanted, automated in vivo imaging and optogenetics in mouse cortex. The Murphy lab at the University of British Columbia is looking for both graduate students and postdoctoral fellows to join a dynamic research team focused on the function of mouse cortex in both normal brain as well as models of stroke and neuropsychiatric disorders. http://www.neuroscience.ubc.ca/faculty/murphy.html Applicants should have experience in quantitative methods and computer programming and/or behavioral neuroscience. Software systems include both data acquisition and analysis using Python or/and Matlab. Current projects evolve around automated brain imaging/interventions using mouse home cages https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909937/. The lab has a fully equipped maker space with a 3D printer and electronics and other hardware fabrication facilities. Future work includes integration of behavioral tasks, including go-, no-go- and fine motor control with automated brain imaging and optogenetic stimulation or inhibition. Projects are focused around two major disease areas, which include stroke and mouse models of neuropsychiatric disorders. The laboratory is part of the UBC Centre for Brain Health and the Graduate program in Neuroscience. These entities form a vibrant research community. Applicants are encouraged to apply directly to Tim Murphy and after an initial application are expected to include 3 letters of reference plus an undergraduate and graduate transcript. Salary and stipends are consistent with Canadian granting standards. Please write: thmurphy at mail.ubc.ca Tim Murphy, PhD Professor Kinsmen Lab, Dept. of Psychiatry University of British Columbia 2255 Wesbrook Mall Detwiller Pavilion Rm. 4N1 Vancouver, B.C. V6T 1Z3 Canada 604-822-0705 office -------------- next part -------------- An HTML attachment was scrubbed... URL: From weixu at cse.ohio-state.edu Fri Sep 15 22:59:24 2017 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Sat, 16 Sep 2017 02:59:24 +0000 Subject: Connectionists: First Joint Call for Tutorial Proposals: ACL/COLING/EMNLP/NAACL 2018 Message-ID: <464BDAA9-1C55-4CCB-A43D-1C8435E592E9@osu.edu> First Joint Call for Tutorial Proposals: ACL/COLING/EMNLP/NAACL 2018 The Association for Computational Linguistics (ACL), the International Conference on Computational Linguistics (COLING), the Conference on Empirical Methods in Natural Language Processing (EMNLP), and the North American Chapter of the Association for Computational Linguistics (NAACL) invite proposals for tutorials to be held in conjunction with ACL 2018, COLING 2018, EMNLP 2018, or NAACL 2018. We seek proposals for tutorials in all areas of computational linguistics, broadly conceived to include related disciplines such as linguistics, speech, information retrieval and multimodal processing. We particularly welcome (1) tutorials that cover advances in newly emerging areas not previously covered in any ACL/COLING/EMNLP/NAACL related tutorial, or (2) tutorials that provide introductions into related fields that are potentially relevant for the CL community (e.g., bioinformatics, social media, human language processing, machine learning techniques). Tutorials will be held at one of the following conference venues: ACL 2018 is the 56th Annual Meeting of the Association for Computational Linguistics. It will be held in Melbourne, Australia on July 15?20, 2018. The ACL tutorials will be held on July 15th. ACL webpage: http://acl2018.org/ COLING 2018 is the 27th Biennial International Conference on Computational Linguistics (COLING). It will be held in Santa Fe, New Mexico, USA on August 20-25, 2018. The COLING tutorials will be held on August 20-21. The webpage for COLING is: http://coling2018.org/ EMNLP 2018 is the SIGDAT conference on Empirical Methods in Natural Language Processing (EMNLP). EMNLP will be held later in 2018 (after the other three conferences). Exact details on dates and venue for EMNLP tutorials will be announced soon. NAACL 2018 is the 16th Annual Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL). It will be held in New Orleans, Louisiana, USA, June 1-6, 2018. The NAACL tutorials will be held on June 1. The webpage for NAACL 2018 is: http://naacl2018.org/ REMUNERATION Information on the payment for tutorial instructors can be found in the Tutorial Teacher Payment Policy: (http://aclweb.org/adminwiki/index.php?title=Tutorial_teacher_payment_policy) Please note: remuneration for tutorial presenters is fixed according to the above policy and does not cover registration fees for the main conference. SUBMISSION DETAILS Proposals should be submitted as PDF documents. Proposals should contain: 1. A title and brief description of the tutorial content and its relevance to the CL community (not more than 2 pages). 2. A brief outline of the tutorial structure showing that the tutorial?s core content can be covered in a three-hour slot (including a coffee break). In exceptional cases six-hour tutorial slots are available as well. 3. The names, affiliations, email addresses and websites of the tutorial instructors, including a one-paragraph statement of their research interests and areas of expertise. 4. Please provide an estimate of the audience size for the tutorial. If the same or a similar tutorial has been given before, a note specifying where previous versions of the tutorial were given, how many attendees were there, and how many attendees the tutorial attracted. 5. A description of special requirements for technical equipment (e.g., internet access). 6. A note specifying which venue(s) (ACL/COLING/EMNLP/NAACL) would be acceptable and/or preferable. Please include a description of any constraints that might make the tutorial compatible with only one of these events, logistically, thematically, or otherwise. Tutorial proposals should be submitted online using the START system: https://www.softconf.com/i/cl-tutorials2018 Proposals will be reviewed jointly by the Tutorial Co-Chairs of the four conferences. TUTORIAL SPEAKER RESPONSIBILITIES Accepted tutorial speakers will be notified by February 1, 2018. They must then provide abstracts of their tutorials for inclusion in the conference registration material by the specific conference deadlines. The description should be in two formats: an ASCII version that can be included in email announcements and published on the conference website, and a PDF version for inclusion in the electronic proceedings (detailed instructions will be provided). Tutorial speakers must provide tutorial materials, at least containing copies of the course slides as well as a bibliography for the material covered in the tutorial, by the deadlines specified for the four conferences, to be determined later. IMPORTANT DATES Shared dates: * Submission deadline for tutorial proposals: January 20th, 2018 * Notification of acceptance: February 1, 2018 TUTORIAL CHAIRS ACL: * Yoav Artzi, Cornell University, USA * Jacob Eisenstein, Georgia Institute of Technology, USA COLING: *Pascale Fung, UST, Hong Kong *Donia Scott, Sussex, UK *Marilyn Walker, University of California Santa Cruz, USA EMNLP: to be determined NAACL-HLT: * Mohit Bansal, U North Carolina, USA * Rebecca Passonneau, Penn State U, USA Please send enquiries concerning ACL/COLING/EMNLP/NAACL 2018 tutorials to the workshop organizers at: acl-coling-emnlp-naacl-tutorials at googlegroups.com From pkordjam at tulane.edu Sun Sep 17 10:02:15 2017 From: pkordjam at tulane.edu (Kordjamshidi, Parisa) Date: Sun, 17 Sep 2017 14:02:15 +0000 Subject: Connectionists: CFP: AAAI-2018 Workshop on Declarative Learning Based Programming Message-ID: ---------------------------------------------------------------- CALL FOR PAPERS and PARTICIPANTS ---------------------------------------------------------------- Third International Workshop on Declarative Learning Based Programming (DeLBP-2018), in conjunction with thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), February 2?3, 2018, New Orleans, Louisiana, USA. Website: http://delbp.github.io. --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- The main goal of Declarative Learning Based Programming (DeLBP) workshop is to investigate the issues that arise when designing and using programming languages that support learning from data and knowledge. DeLBP aims at new programming models and abstractions that facilitate the design and development of intelligent real world applications that use machine learning and reasoning. The challenges of such a programming paradigm include: Interaction with messy, naturally occurring data; Specifying the requirements of the application at a high abstraction level; Dealing with uncertainty in data and knowledge in various layers of the application program; Using representations that support flexible relational feature engineering and learning rich data representations; Using representations that support flexible reasoning and structure learning; Supporting model chaining and composition; Integrating a range of learning and inference algorithms; and finally addressing the above mentioned issues in one unified programming environment. Conventional programming languages offer no help to application programmers that attempt to design and develop applications that make use of real world data, and reason about it in a way that involves learning interdependent concepts from data, incorporating and composing existing models, and reasoning about existing and trained models and their parameterization. Over the last few years, the research community has tried to address these problems from multiple perspectives, most notably various approaches based on Probabilistic programming, Logical Programming and the integrated paradigms. The goal of this workshop is to present and discuss the current related research and the way various challenges have been addressed. We aim at motivating the need for further research toward a unified framework in this area based on the key existing paradigms: Probabilistic Programming, Logic Programming, Probabilistic Logical Programming, First-order query languages and database management systems and deductive databases, Statistical relational learning, Deep Learning and related languages, and connect these to the ideas of Learning Based Programming. We aim to discuss and investigate the required type of languages and representations that facilitate modeling complex learning models, deep architectures, and provide the ability to combine, chain and perform flexible inference with existing models and by exploiting domain knowledge. Though the theme of this workshop remains generic as in the past versions, we will aim at emphasizing on ideas and opinions regarding conceptual representations of deep learning architectures that connect various computational units to the semantics of declarative data and knowledge representations. ---------------------------------------------------------------- TOPICS OF INTEREST ????????????????????? ?New abstractions and modularity levels towards a unified framework for (deep/structured) learning and reasoning, ? Frameworks/Computational models to combine learning and reasoning paradigms and exploit accomplishments in AI from various perspectives. ?Flexible use of structured and relational data from heterogeneous resources in learning. ? Data modeling (relational/graph-based databases) issues in such a new integrated framework for learning based on data and knowledge. ?Exploiting knowledge such as expert knowledge and common sense knowledge expressed via multiple formalisms, in learning. ?The ability of closing the loop to acquire knowledge from data and data from knowledge towards life-long learning, and reasoning. ?Using declarative domain knowledge to guide the design of learning models, ? Including feature extraction, model selection, dependency structure and deep learning architecture. ?Automation of hyper-parameter tuning. ?Design and representation of complex learning and inference models. ?The interface and software tools for learning-based programming, ? Either in the form of programming languages, declarations, frameworks, libraries or graphical user interfaces. ?Storage and retrieval of trained learning models in a flexible way to facilitate incremental learning. ?Related applications in Natural language processing, Computer vision, Bioinformatics, Computational biology, multi-agent systems, etc. ?Learning to learn programs. ---------------------------------------------------------------- IMPORTANT DATES ---------------------------------------------------------------- ? Submission Deadline: Oct 15th, 2017 ? Notification: Nov 5th, 2017 ? Camera-Ready: Nov 21th, 2017 ? Workshop Days: Feb 2-3, 2018 ---------------------------------------------------------------- SUBMISSION AND SELECTION PROCESS ---------------------------------------------------------------- We encourage contributions with either a technical paper (AAAI style, 6 pages without references), a position statement (AAAI style, 2 pages maximum) or an abstract of a published work. AAAI Style files available here [http://www.aaai.org/Publications/Templates/AuthorKit18.zip]. Please make submissions via EasyChair, here [https://easychair.org/conferences/?conf=delbp2018]. ---------------------------------------------------------------- PROGRAM COMMITTEE ---------------------------------------------------------------- Guy Van den Broeck, University of California, Los Angeles Sameer Singh, University of California, Irvine Rodrigo de Salvo Braz, SRI International Christos Christodoulopoulos, Amazon Cambridge, UK William Wang, University of California, Santa Barbara Kai-Wei Chang, University of Virginia Nikolaos Vasiloglou, LogicBlox Martin Mladenov, Technical University of Dortmund Tias Guns, Vrije University of Brussels Umar Manzoor, Tulane University ---------------------------------------------------------------- ORGANIZING COMMITTEE ---------------------------------------------------------------- Parisa Kordjamshidi, Tulane University, IHMC Dan Roth, University of Pennsylvania Dan Goldwasser, Purdue University Kristian Kersting, TU Darmstadt ---------------------------------------------------------------- CONTACT ---------------------------------------------------------------- delbp-3 at googlegroups.com (Organization Committee) pkordjam at tulane.edu Please circulate this CFP among your colleagues and students. ------------------------------------------- ------------------------------------------- Kordjamshidi, Parisa Assistant Professor CS Department at Tulane University Research Scientist at IHMC Homepage -------------- next part -------------- An HTML attachment was scrubbed... URL: From azahkm at gmail.com Sun Sep 17 21:41:40 2017 From: azahkm at gmail.com (Azah Kamilah Muda) Date: Mon, 18 Sep 2017 09:41:40 +0800 Subject: Connectionists: =?utf-8?q?Fwd=3A_2nd_CFP_=3A_The_13th_Internation?= =?utf-8?q?al_Conference_on_Information_Assurance_and_Security_=28I?= =?utf-8?q?AS_=E2=80=9917=29_-_Morocco?= In-Reply-To: References: Message-ID: *Call for Papers* Apologies for cross-posting. Kindly help to distribute this CFP to your mailing list. *-- The 13th International Conference on Information Assurance and Security (IAS ?17) --* http://www.mirlabs.net/ias17 http://www.mirlabs.org/ias17 *Indexed by*: SCOPUS, Thomson ISI Web of Science, DBLP etc. *History of IAS series:* http://www.mirlabs.net/ias17/previous.php *IAS 2017: Scopus Proceedings* All *accepted and registered *papers will be published in *AISC Series of Springer*, indexed in *ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink. *Proceedings will be made available during the conference. Expanded versions of selected papers will be published in special issues of internationally referred journals (indexed by SCI) and edited volumes. *** Important Dates *** ---------------------------- Paper submission due: September 30, 2017 Notification of paper acceptance: October 31, 2017 Registration and Final manuscript due: November 15, 2017 Conference: December 11 - 13, 2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *About IAS'17:* ------------------------- The International Conference on Information Assurance and Security (IAS) is a major international conference aims to bring together researchers, practitioners, developers, and policy makers involved in multiple disciplines of information security and assurance to exchange ideas and to learn the latest development in this important field. Information assurance and security has become an important research issue in the networked and distributed information sharing environments. Finding effective ways to protect information systems, networks and sensitive data within the critical information infrastructure is challenging even with the most advanced technology and trained professionals. All accepted and registered papers will be included in the conference proceedings to expected be published by Springer. *Topics (not limited to): *-------------------------------- Information Assurance, Security Mechanisms, Methodologies and Models Authentication and Identity Management Authorization and Access Control Trust Negotiation, Establishment and Management Anonymity and User Privacy Data Integrity and Privacy Network Security Operating System Security Database Security Intrusion Detection Security Attacks Security Oriented System Design Security and Performance trade-off Security Management and Strategy Security Verification, Evaluations and Measurements Secure Software Technologies New Ideas and Paradigms for Security Cryptography Cryptographic Protocols Key Management and Recovery Secure System Architectures and Security Application Web Services Security Grid Security Ubiquitous Computing Security Mobile Agent Security Internet Security Intellectual Property Protection E-Commerce Security E-Government Security E-Health Security Home System Security Sensor Network Security Ad hoc network security Biometrics Security and Applications Secure Hardware and Smartcards Image Engineering, Multimedia Signal Processing and Communication Security Multimedia Security Multimedia Forensic Digital Watermarking and DRM Communication Security Biometrics Information Fusion Image Registration Image Mosaic Image Indexing and Retrieval Image and Video Coding Multiscale Geometric Analysis Motion Detection and Tracing Feature Extraction 3G Communication Embedded System Design ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *Submission Guidelines:* -------------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: http://www.springer.com/series/11156 IAS?17 Submission Link: https://easychair.org/conferences/?conf=ias2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ** Organizing Committee ** ---------------------------------- General Chairs: Abdelkrim Haqiq, Hassan 1stUniversity, Settat, Morocco Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA Layth Sliman, EFREI, Paris, France Adel M. Alimi, University of Sfax, Tunisia Technical Committee (Please refer website): http://www.mirlabs.net/ias17/committees.php *For technical contact:* ------------------------------ Ajith Abraham Email: ajith.abraham at ieee.org Best Regards, Azah Kamilah Muda (PhD), Assoc. Prof, Deputy Dean of Research and Postgraduate Studies, Faculty of Information and Communication Technology, [Computational Intelligence and Technologies Lab (CIT-Lab)] Universiti Teknikal Malaysia Melaka, Malaysia. Tel: +606 331 6597 <+60%206-331%206597> || Fax: +606 331 6500 <+60%206-331%206500> ** Honesty has a power that very few people can handle ** -- Best Regards, Azah Muda -------------- next part -------------- An HTML attachment was scrubbed... URL: From axcleer at ulb.ac.be Mon Sep 18 03:14:48 2017 From: axcleer at ulb.ac.be (Axel Cleeremans) Date: Mon, 18 Sep 2017 09:14:48 +0200 Subject: Connectionists: ERC-funded computational modelling post-doc position @ CO3 Message-ID: IMMEDIATE OPENING OF A POST-DOC POSITION AT CO3 The Consciousness, Cognition & Computation Group (CO3) of the Center for Research in Cognition & Neurosciences at the Universit? libre de Bruxelles seeks applicants for a two-years post-doc position funded under the ERC Advanced Grant awarded to Axel Cleeremans (project ?RADICAL?). This research project is focused on the development of a novel theory of consciousness based on the idea that consciousness is something that the brain learns to do rather than a static property of certain kinds of neural activity. Prediction-driven interactive loops thus enable the brain to learn about (1) the consequences of activity in one region on activity in other regions (the inner loop), (2) the consequences of action on perception (the perception-action loop), and (3) the consequences of action on the behaviour of other agents (the mind loop). The core idea is thus that a cognitive system becomes a conscious cognitive system in virtue of its ability to continuously learn to represent (and hence, predict) the consequences of its own activity. For further background on the ideas behind this project, applicants are invited to consult the following paper . Successful candidates must hold a Ph.D. degree (or equivalent) in Psychology, Cognitive Science, Neuroscience, Engineering, Informatics, or related disciplines. Experience with computational modelling methods, ranging from deep learning methods to predictive coding algorithms, is essential. Experience conducting behavioural research, including experimental design and data analysis skills, is a strong plus. The main goal of the post-doc appointment will be to contribute to theory development by combining theory-driven computational modelling with targeted experimentation dedicated to testing specific predictions. The appointee will be expected to collaborate closely with both the PI and the rest of the team. The position will be funded for a minimum of one year (renewable) and will be remunerated according to Belgian standards for the appointment of post-docs in international mobility (approx. 28K+ ? / year net, as well as social security benefits). Successful applicants will join the CO3 lab (about 12 members) and the extant RADICAL ERC team, which currently consists of post-docs Ad?la?de de Heering and Jean-R?my Martin , and of Ph.D. students Dalila Achoui, Laur?ne Vuillaume, Santiago Mu?oz Moldes and Arnaud Beauny. Please visit the Center for Research in Cognition & Neurosciences page, to know more about the Center itself, and the CO3 team . Informal enquiries accompanied by a CV and a short statement of interest may be sent to Axel Cleeremans . Applications will continue to be examined until the position is filled. ?? AXC 20170918 EM054185 ? axel cleeremans F.R.S.-FNRS Research Director CO3 | CRCN | UNI | ULB Voice: +322 6503296 axc.ulb.be -------------- next part -------------- An HTML attachment was scrubbed... URL: From juffi at ke.informatik.tu-darmstadt.de Mon Sep 18 07:30:09 2017 From: juffi at ke.informatik.tu-darmstadt.de (Johannes Fuernkranz) Date: Mon, 18 Sep 2017 13:30:09 +0200 Subject: Connectionists: PhD-level Researchers in Natural Language Processing, Computational Linguistics, Machine Learning, Computer Vision, or related areas Message-ID: The Research Training Group ?Adaptive Information Preparation from Heterogeneous Sources? (AIPHES) [1], which has been established in 2015 at Technische Universit?t Darmstadt and at Ruprecht Karls University Heidelberg is filling several positions for three years, starting on April 1st, 2018. Positions remain open until filled. The positions provide the opportunity to obtain a doctoral degree in the research area of the training group with an emphasis, e.g., in graph-based discourse processing, in natural language processing tasks such as automated summarization, in representation and analysis of text-induced structures, in jointly analyzing text and images, or in a related area. The group will be located in Darmstadt and Heidelberg. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale. The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, computer vision, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite. Participating research groups at Technische Universit?t Darmstadt are Knowledge Engineering (Prof. F?rnkranz), Ubiquitous Knowledge Processing (Prof. Gurevych), Machine Learning (Prof. Kersting), Visual Inference (Prof. Roth), Algorithmics (Prof. Weihe). Participants at Ruprecht Karls University Heidelberg are the Institute for Computational Linguistics (Prof. Frank) and the Natural Language Processing Group (Prof. Strube) of the Heidelberg Institute for Theoretical Studies (HITS). AIPHES emphasizes close contact between the students and their advisors, have regular joint meetings, a co-supervision by professors and younger scientists in the research groups, and an intensive exchange as part of the research and qualification program. The training group has the goal of publishing its results at leading scientific conferences and will actively support its doctoral researchers in this endeavor. The software that will be developed in the course of AIPHES should be put under the open source Apache Software License 2.0 if possible. Moreover, the research papers and datasets should be published with open access models. Prerequisites We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be willing to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged. The Department of Computer Science of TU Darmstadt [2] is regularly ranked among the top ones in respective rankings of German universities. The Institute for Computational Linguistics (ICL) of the Ruprecht Karls University Heidelberg [3] is one of the largest centers for computational linguistics both in Germany and internationally. The ICL and the NLP department of the HITS jointly run the graduate program ?Semantic Processing? [4] with an integrated research training group ?Coherence in language processing: Semantics beyond the sentence?, which has a close connection to the topics in computational linguistics of AIPHES. Applications should include a motivational letter that refers to one or two of the planned research areas of AIPHES [1], a CV with information about the applicant?s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. Application materials must be submitted via the following form until October 6th, 2017: https://public.ukp.informatik.tu-darmstadt.de/aiphesrecruitment/ In addition, applicants should be prepared to solve a programming and a reviewing task in the first two weeks after their application. [1] http://www.aiphes.tu-darmstadt.de/ [2] https://www.informatik.tu-darmstadt.de/ [3] http://www.cl.uni-heidelberg.de/ [4] http://semproc.cl.uni-heidelberg.de/ -- Johannes Fuernkranz Knowledge Engineering Group, TU Darmstadt From mpavone at dmi.unict.it Tue Sep 19 11:40:22 2017 From: mpavone at dmi.unict.it (Mario Pavone) Date: Tue, 19 Sep 2017 17:40:22 +0200 Subject: Connectionists: OLA 2018 - Workshop on Optimization and Learning: Challenges and Applications Message-ID: <20170919174022.Horde.G0E0Buph4B9ZwTpmqL-yt0A@mbox.dmi.unict.it> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. ************************************************************************ OLA'2018 International Workshop on Optimization and Learning: Challenges and Applications 26-28 Feb 2018 Alicante Spain http://ola2018.sciencesconf.org/ ************************************************************************ OLA is a workshop focusing on the future challenges of optimization and learning methods and their applications. The workshop OLA'2018 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2018 welcomes presentations that cover any aspects of optimization and learning research such as new high-impact applications, parameter tuning, 4th industrial revolution, new research challenges, hybridization issues, optimization-simulation, meta-modeling, high-performance and exascale computing, surrogate modeling, multi-objective optimization, optimization for machine learning, machine learning for optimization. Important dates - Submission deadline Nov 3, 2017 - Proposals of invited sessions Nov 3, 2017 - Notification of acceptance Nov 17, 2017 Paper submission - Abstracts of maximum 2 pages A special issue of a scientific journal with invited extended version of the papers is being planned. -- Mario Pavone (PhD) Assistant Professor Department of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy tel: 0039 095 7383038 fax: 0039 095 330094 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ ============================================= MESS 2018 - Metaheuristics Summer School 21-25 July 2018, Taormina, Italy ============================================= From joern.diedrichsen at googlemail.com Tue Sep 19 10:08:02 2017 From: joern.diedrichsen at googlemail.com (=?utf-8?Q?J=C3=B6rn_Diedrichsen?=) Date: Tue, 19 Sep 2017 10:08:02 -0400 Subject: Connectionists: Neuroimaging Analyst position at Western University Message-ID: Western University has received a $66M investment from the Canada First Research Excellence Fund (CFREF). This investment will bring together researchers from across the University under a unifying initiative called BrainsCAN. The mission of BrainsCAN is to reduce the burden of brain disorders that affect sensory, cognitive, and motor functions. The initiative aims at extending and mobilizing knowledge of the mappings between neural circuits and mental functions to deliver evidence-based interventions. The Research Associate, Neuroimaging Analyst, will apply their expertise and knowledge to support ongoing research projects directed by the principal investigators of the BrainsCAN initiative. The incumbent will become part of BrainsCAN?s Computational Core, which aims to develop new computational techniques for the analysis of behavioral, brain imaging, and neuronal data. The incumbent will play a lead role in training staff, students and postdoctoral fellows in the application of data analysis and modelling techniques. The incumbent will have developed an independent method-based research portfolio, and will support and operationalize new and innovative computational techniques. Working with individual laboratories, the incumbent will help to develop research and project plans, advise on data analysis techniques and statistical inference related to neuroimaging and electrophysiological research, and assist in the technical and statistical aspects of manuscripts and research reports. Application closes this Monday, September 25th Further particulars: http://www.uwo.ca/bmi/img/jobposting_neuroimaginganalyst.pdf Please contact me if you have further questions, J?rn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics Email: jdiedric at uwo.ca Tel: 1-519-661-2111 x86994 -------------- next part -------------- An HTML attachment was scrubbed... URL: From royf at berkeley.edu Tue Sep 19 14:46:33 2017 From: royf at berkeley.edu (Roy Fox) Date: Tue, 19 Sep 2017 18:46:33 +0000 Subject: Connectionists: NIPS 2017 Workshop Call for Papers -- Hierarchical Reinforcement Learning Message-ID: We invite all researchers to submit their manuscripts for review. ******************************************************************************** Hierarchical Reinforcement Learning Workshop NIPS 2017 Saturday, December 9 Long Beach, CA, USA https://sites.google.com/view/hrlnips2017 Please address questions to: hrlnips2017 at gmail.com ******************************************************************************** Reinforcement Learning (RL) has become a powerful tool for tackling complex sequential decision-making problems as demonstrated in high-dimensional robotics or game-playing domains. Nevertheless, modern RL methods have considerable difficulties when facing sparse rewards, long planning horizons, and more generally a scarcity of useful supervision signals. Hierarchical Reinforcement Learning (HRL) is emerging as a key component for finding spatio-temporal abstractions and behavioral patterns that can guide the discovery of useful large-scale control architectures, both for deep-network representations and for analytic and optimal-control methods. HRL has the potential to accelerate planning and exploration by identifying skills that can reliably reach desirable future states. It can abstract away the details of low-level controllers to facilitate long-horizon planning and meta-learning in a high-level feature space. Hierarchical structures are modular and amenable to separation of training efforts, reuse, and transfer. By imitating a core principle of human cognition, hierarchies hold promise for interpretability and explainability. There is a growing interest in HRL methods for structure discovery, planning, and learning, as well as HRL systems for shared learning and policy deployment. The goal of this workshop is to improve cohesion and synergy among the research community and increase its impact by promoting better understanding of the challenges and potential of HRL. This workshop further aims to bring together researchers studying both theoretical and practical aspects of HRL, for a joint presentation, discussion, and evaluation of some of the numerous novel approaches to HRL developed in recent years. NOTE: The main NIPS 2017 conference is currently sold out. If you intend to submit a paper, please register to the workshops as soon as possible. Registrations can be cancelled before November 16, 2017, for a full refund. IMPORTANT DATES: - Submission deadline: Wednesday, November 1, 2017 (Anywhere on Earth) - Author notification: Monday, November 13, 2017 - Final paper posted online: Monday, December 4, 2017 - Workshop: Saturday, December 9, 2017 SUBMISSION DETAILS: - Research papers are solicited on Hierarchical Reinforcement Learning, its theory and practice, and related fields (optimal control, cognitive science, neuroscience, and others). - Contributed papers may include novel research, preliminary results, or surveys. - Papers are limited to 4 pages, excluding references, in the latest camera-ready NIPS style: https://nips.cc/Conferences/2017/PaperInformation/StyleFiles - Accepted papers will be made publicly available as a non-archival report, allowing future submissions to archival conferences or journals. - Please submit via CMT3: https://cmt3.research.microsoft.com/HRL2017 - Please check the workshop website for the latest updates: https://sites.google.com/view/hrlnips2017 ACCEPTED PAPERS: - All accepted papers will be presented as spotlights and during two poster sessions. - Authors of top accepted papers will be invited to give a short contributed talk. - Lead authors of outstanding papers will be invited to a lunchtime discussion with the workshop?s invited speakers. - Accepted student authors will be invited to apply for travel and registration support. - The best paper will win an award. INVITED SPEAKERS: Pieter Abbeel (OpenAI/UC Berkeley) Matt Botvinick (DeepMind/UCL) Jan Peters (TU Darmstadt) Doina Precup (McGill) David Silver (DeepMind/UCL) Josh Tenenbaum (MIT) ORGANIZERS: Andrew Barto (UMass) Doina Precup (McGill) Shie Mannor (Technion) Tom Schaul (DeepMind) Roy Fox (UCB) Carlos Florensa (UCB) -------------- next part -------------- An HTML attachment was scrubbed... URL: From yosinski at cs.cornell.edu Tue Sep 19 12:32:08 2017 From: yosinski at cs.cornell.edu (Jason Yosinski) Date: Tue, 19 Sep 2017 09:32:08 -0700 Subject: Connectionists: Call for Papers: NIPS 2017 Symposium on Interpretable Machine Learning Message-ID: ============================= Call for Papers: NIPS 2017 Symposium Interpretable Machine Learning Website: http://interpretable.ml Location: Long Beach, California, USA Date: December 7, 2017 ============================= Call for Papers: We invite researchers to submit their recent work on interpretable machine learning from a wide range of approaches, including (1) methods that are designed to be more interpretable from the start, such as rule-based methods, (2) methods that produce insight into existing ML models, and (3) perspectives either for or against interpretability in general. Topics of interest include: - Deep learning - Kernel, tensor, graph, or probabilistic methods - Automatic scientific discovery - Safe AI and AI Ethics - Causality - Social Science - Human-computer interaction - Quantifying or visualizing interpretability - Symbolic regression Authors are welcome to submit 2-4 page extended abstracts, in the NIPS style. Author names do not need to be anonymized. Accepted papers will have the option of inclusion in the proceedings. Certain papers will also be selected to present spotlight talks. Email submissions to interpretML2017 at gmail.com. Key Dates: *Submission Deadline: 20 Oct 2017*Acceptance Notification: 27 Oct 2017 Symposium: 7 Dec 2016 Speakers and Panelists: - Kilian Weinberger (Cornell) - Jerry Zhu (UW-Madison) - Viktoria Krakovna (DeepMind) - Bernhard Scholkopf (MPI) - Kiri Wagstaff (JPL) - Suchi Saria (JHU) - Jenn Vaughan (Microsoft) - Yann LeCun (NYU) - Hanna Wallach (Microsoft) Organizers: - Andrew Gordon Wilson (Cornell) - Jason Yosinski (Uber AI Labs) - Patrice Simard (Microsoft) - Rich Caruana (Microsoft) - William Herlands (CMU) Workshop Overview: Complex machine learning models, such as deep neural networks, have recently achieved outstanding predictive performance in a wide range of applications, including visual object recognition, speech perception, language modeling, and information retrieval. There has since been an explosion of interest in interpreting the representations learned and decisions made by these models, with profound implications for research into explainable ML, causality, safe AI, social science, automatic scientific discovery, human computer interaction (HCI), crowdsourcing, machine teaching, and AI ethics. This symposium is designed to broadly engage the machine learning community on the intersection of these topics -- tying together many threads which are deeply related but often considered in isolation. For example, we may build a complex model to predict levels of crime. Predictions on their own produce insights, but by interpreting the learned structure of the model, we can gain more important new insights into the processes driving crime, enabling us to develop more effective public policy. Moreover, if we learn that the model is making good predictions by discovering how the geometry of clusters of crime events affect future activity, we can use this knowledge to design even more successful predictive models. Similarly, if we wish to make AI systems deployed on self-driving cars safe, straightforward black-box models will not suffice, as we will need methods of understanding their rare but costly mistakes. The symposium will feature invited talks and two panel discussions. One of the panels will have a moderated debate format where arguments are presented on each side of key topics chosen prior to the symposium, with the opportunity to follow-up each argument with questions. This format will encourage an interactive, lively, and rigorous discussion, working towards the shared goal of making intellectual progress on foundational questions. During the symposium, we will also feature the launch of a new Explainability in Machine Learning Challenge, involving the creation of new benchmarks for motivating the development of interpretable learning algorithms. best, jason --------------------------- Jason Yosinski http://yosinski.com/ +1.719.440.1357 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc.toussaint at informatik.uni-stuttgart.de Tue Sep 19 14:52:25 2017 From: marc.toussaint at informatik.uni-stuttgart.de (Marc Toussaint) Date: Tue, 19 Sep 2017 14:52:25 -0400 Subject: Connectionists: Full Professor of Machine Learning for Computer Simulations, University Stuttgart, Germany Message-ID: <791546d3-a7ea-a73b-0940-f6e9776fcbad@informatik.uni-stuttgart.de> Full Professor (W3) *Machine Learning for Computer Simulations* STUTTGART CENTRE FOR SIMULATION SCIENCES (SC SIMTECH) AT THE EARLIEST OPPORTUNITY The new professor is expected to cover the field of machine learning for computer simulations within the Stuttgart Centre for Simulation Sciences (SC SimTech). We are looking for a researcher with an excellent international reputation in innovative methods for machine learning who will apply, advance and integrate these methods in the general area of simulation sciences. A combination between theoretical developments and applications to engineering and/or natural sciences is desired. We expect significant contributions to teaching in selected (mostly German) Bachelor and Master programs. The ideal candidate is active in acquiring third-party funding and will participate in collaborative and interdisciplinary research projects at the university. The announced position is one of ten new professorships that are to be installed at the Universities of Stuttgart and T?bingen as part of the Cyber Valley initiative, a research alliance in the field of intelligent systems. The requirements for employment listed in ? 47 and ? 50 Baden- W?rttemberg university law apply. Applicants are asked to send their detailed curriculum vitae, copies of certificates, list of publications, research and teaching statement, reprints of three to five selected publications, and the completed application form from http://www.simtech.uni-stuttgart.de/data/downloads/ApplicationForm_YOURNAME_MLSimSci.DOCX by e-mail to Prof. Dr.-Ing. Wolfgang Nowak Institut f?r Wasser- und Umweltsystemmodellierung Pfaffenwaldring 5a 70569 Stuttgart, Germany no later than 24th of October 2017. The University of Stuttgart has established a Dual Career Program to offer assistance to partners of those moving to Stuttgart. For more information, please visit the website https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/ If you have any questions, please do not hesitate to contact us informally: Wolfgang Nowak Marc Toussaint Best, -- Marc Toussaint http://ipvs.informatik.uni-stuttgart.de/mlr/marc/index.html From avellido at lsi.upc.edu Tue Sep 19 13:05:16 2017 From: avellido at lsi.upc.edu (Alfredo Vellido) Date: Tue, 19 Sep 2017 19:05:16 +0200 Subject: Connectionists: 1st CFP: NIPS 2017 "Transparent and Interpretable Machine Learning in Safety Critical Environments" Workshop Message-ID: <5117f588-082c-b0bb-b6ad-5eaf6ce5faef@lsi.upc.edu> *** apologies for cross-posting *** FIRST CALL FOR PAPERS ===================== NIPS 2017 Workshop on Transparent and Interpretable Machine Learning in Safety Critical Environments https://sites.google.com/view/timl-nips2017 Friday, December 8, 8:00am-6:30pm Long Beach Convention Center, Long Beach, CA, USA ======================================= IMPORTANT DATES Submission deadline: 29th of October, 2017 Acceptance notification: 10th of November, 2017 Camera ready due: 26th of November, 2017 NOTE: beware of registration limitations. Main conference already sold out although workshop registrations still available. SUBMISSION Through CMT system: see workshop site above ================================== OVERVIEW The use of machine learning has become pervasive in our society, from specialized scientific data analysis to industry intelligence and practical applications with a direct impact in the public domain. This impact involves different social issues including privacy, ethics, liability and accountability. In the way of example, European Union legislation, resulting in the General Data Protection Regulation (trans-national law) passed in early 2016, will go into effect in April 2018. It includes an article on "Automated individual decision making, including profiling" that, in fact, establishes a policy on the right of citizens to receive an explanation for algorithmic decisions that may affect them. This could jeopardize the use of any machine learning method that is not comprehensible and interpretable at least in applications that affect the individual. This situation may affect safety critical environments in particular and puts model interpretability at the forefront as a key concern for the machine learning community. In such context, this workshop aims to discuss the use of machine learning in safety critical environments, with special emphasis on three main application domains: - Healthcare ??? Decision making (diagnosis, prognosis) in life-threatening conditions Integration of medical experts knowledge in machine learning-based medical decision support systems ??? Critical care and intensive care units - Autonomous systems ??? Mobile robots, including autonomous vehicles, in human-crowded environments. ??? Human safety when collaborating with industrial robots. ??? Ethics in robotics and responsible robotics - Complainants and liability in data driven industries ??? Prevent unintended and harmful behaviour in machine learning systems ??? Machine learning and the right to an explanation in algorithmic decisions ??? Privacy and anonymity vs. interpretability in automated individual decision making We encourage submissions of papers on machine learning applications in safety critical domains, with a focus on healthcare and biomedicine. Research topics of interest include, but are not restricted to the following list: - Feature extraction/selection for more interpretable models - Reinforcement learning and safety in AI - Interpretability of neural network architectures - Learning from adversarial examples - Transparency and its impact - Trust in decision making - Integration of medical experts knowledge in machine learning-based medical decision support systems - Decision making in critical care and intensive care units - Human safety in machine learning systems - Ethics in robotics - Privacy and anonymity vs. interpretability in automated individual decision making - Interactive visualisation and model interpretabilityrpretability in automated individual decision making ORGANIZERS Alessandra Tosi, Mind Foundry (UK) Alfredo Vellido, Universitat Polit?cnica de Catalunya, UPC BarcelonaTech (Spain) Mauricio ?lvarez, University of Sheffield (UK) SPEAKERS AND PANELLISTS FINALE DOSHI-VELEZ - Assistant Professor of Computer Science, Harvard BARBARA HAMMER - Professor at CITEC Centre of Excellence, Bielefeld University SUCHI SARIA - Assistant Professor, Johns Hopkins University DARIO AMODEI - Research Scientist, OpenAI ADRIAN WELLER - Computational and Biological Learning Lab, University of Cambridge and Alan Turing Institute. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue Sep 19 13:09:21 2017 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Tue, 19 Sep 2017 18:09:21 +0100 Subject: Connectionists: CFP: DMKD - Special Issue on Data Mining for Geosciences Message-ID: <8b349e10-a4f0-5319-eb82-4fbd00c03040@isep.ipp.pt> ------------------------------------------------------------------------------- Data Mining and Knowledge Discovery Springer (www.springer.com/10618) Special Issue on "Data Mining for Geosciences" ------------------------------------------------------------------------------- Modern geosciences have to deal with large quantities and a wide variety of data, including 2-D, 3-D and 4-D seismic surveys, well logs generated by sensors, detailed lithological records, satellite images and meteorological records. These data serve important industries, such as the exploration of mineral deposits and the production of energy (Oil and Gas, Geothermal, Wind, Hydroelectric), are important in the study of the earth crust to reduce the impact of earthquakes, in land use planning, and have a fundamental role in sustainability. In particular, the process of exploring and exploiting Oil and Gas (O&G) generates a lot of data that can bring more efficiency to the industry. The opportunities for using data mining techniques in the "digital oil-field" remain largely unexplored or uncharted. The purpose of this special issue is to be a breaking-edge showcase for applications and developments of data mining and knowledge discovery in the area of the geosciences with a special focus in the oil and gas exploration. Researchers are invited to submit original papers presenting novel data mining methodologies or applications to the geosciences, including but not limited to the following topics: * Oil and gas exploration and production * Mineral deposit/reservoir identification and characterization * Exploration of well-log data * Earth crust analysis and understanding * Sensor data exploration * Remote sensing * Novel data mining problems in the geosciences * Visualization of big data in the geosciences * Geoscience data fusion for enhancing data mining solutions * Data streams analysis in geoscience * Feature extraction and data transformation from geoscientific data IMPORTANT DATES: * Deadline: 1st November 2017 * Notifications: 5th January 2018 * Revised versions deadline: 30th January 2018 * Feedback from editorial team: 15th March 2018 * Final versions: 17th April 2018 * Volume ready: June 2018 PAPER SUBMISSION: * Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals. * All papers will be reviewed following standard reviewing procedures for the Journal. * Papers must be prepared in accordance with the Journal guidelines. * Submit manuscripts to: http://DAMI.edmgr.com. Choose ?Data Mining for Geosciences? as the article type. FURTHER INFORMATION: The original call from Springer can be downloaded in PDF format at https://goo.gl/f8jDHw. For further information please refer to the special issue homepage at http://dm4og.inesctec.pt/dmkd-special-issue. If you have any questions don't hesitate to contact the guest editors through Al?pio Jorge (amjorge at fc.up.pt), with cc to Rui Lopes (rui.l.lopes at inesctec.pt) Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From amir.aly at em.ci.ritsumei.ac.jp Tue Sep 19 17:48:01 2017 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Tue, 19 Sep 2017 23:48:01 +0200 Subject: Connectionists: [Extended Deadline-CFP] - HAI 2017 Workshop: Representation Learning for Human and Robot Cognition Message-ID: CALL FOR PAPERS **Apologies for cross posting ** The full day workshop: "*Representation Learning for Human and Robot Cognition*" In conjunction with the *5th International Conference on Human-Agent Interaction* *- Bielefeld - Germany - October * *17th, 2017* *Webpage: **http://cognitive-mirroring.org/en/events/hai2017_workshop/* *I. Aim and Scope *Creating intelligent and interactive robots has been subject to extensive research studies. They are rapidly moving to the center of human environment so that they collaborate with human users in different applications, which requires high-level cognitive functions so as to allow them to understand and learn from human behavior. To this end, an important challenge that attracts much attention in cognitive science and artificial intelligence, is the ?Symbol Emergence? problem, which investigates the bottom-up development of symbols through social interaction. This research line employs representation learning based models for understanding language and action in a developmentally plausible manner so as to make robots able to behave appropriately on their own. This could open the door to robots to understand syntactic formalisms and semantic references of human speech, and to associate language knowledge to perceptual knowledge so as to successfully collaborate with human users in space. Another interesting approach to study representation learning is ?Cognitive Mirroring?, which refers to artificial systems that could make cognitive processes observable, such as the models that could learn concepts of objects, actions, and/or emotions from humans through interaction. A key idea of this approach is that robots learn individual characteristics of human cognition rather than acquiring a general representation of cognition. In this way, the characteristics of human cognition become observable and can be measured as modifications in model parameters, which is difficult to verify through neuroscience studies only. In this workshop, we invite researchers in artificial intelligence, cognitive science, cognitive robotics, and neuroscience to share their knowledge and research findings on representation learning, and to engage in cutting-edge discussions with other experienced researchers so as to help promoting this research line in the Human-Agent Interaction (HAI) community. *II. Keynote Speakers * 1. *Beata Joanna Grzyb *? Radboud University ? The Netherlands 2. *Thomas Hermann*? Bielefeld University ? Germany 3. *Tetsuya Ogata *? Waseda University ? Japan 4. *Erhan Oztop *? Ozyegin Universiy ? Turkey 5. * Stefan Wermter *? University of Hamburg ? Germany *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission *. 2. Use the ACM SIGCHI format: *ACM SIGCHI Templates *. 3. Submitted papers should be limited to 2-4 pages maximum. The primary list of topics covers the following points (but not limited to): - Computational model for high-level cognitive capabilities - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Human-robot communication and collaboration based on machine learning - Learning supported by external trainers by demonstration and imitation - Bayesian modeling - Learning with hierarchical and deep architectures - Interactive reinforcement learning * IV. Important Dates * 1. Paper submission: *30-September-2017* 2. Notification of acceptance: *5-**October-2017* 3. Workshop: *17-October-2017* *V. Organizers * 1. *Takato Horii *? Osaka University ? Japan 2. *Amir Aly *? Ritsumeikan University ? Japan 3. *Yukie Nagai *? National Institute of Information and Communications Technology ? Japan 4. * Takayuki Nagai *? The University of Electro-Communications ? Japan -- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From amcosconference at upf.edu Tue Sep 19 23:41:58 2017 From: amcosconference at upf.edu (AMCOS Conference) Date: Tue, 19 Sep 2017 22:41:58 -0500 Subject: Connectionists: AMCOS save the date Message-ID: SAVE THE DATE *AMCOS ?** Analysis and Modeling of Complex Oscillatory Systems* March 19-23, 2018 Barcelona, Spain The *AMCOS conference* aims at bringing together renowned experts and young researchers who work on the modeling of complex systems and the emergence of collective phenomena, as well as on the analysis of complex data sets in order to infer structure and functionality of networks. Accompanying *tutorials* by leading experts will interactively introduce the different conference themes. Do you want to present your work? *Registration and abstract submission opens October 15, 2017*. More info at amcosconference.com. *Date and Venue* Tutorials: March 19, 2018 Conference: March 20 - 23, 2018 PRBB , Parc de Recerca Biom?dica de Barcelona *List of speakers* (*TBC) - Peter Ashwin, - Ernest Barreto, - Ginestra Bianconi*, - Raffaella Burioni, - Dante R. Chialvo, - Gustavo Deco, - Alain Destexhe*, - Albert D?az-Guilera, - Jordi Garcia-Ojalvo, - Wulfram Gerstner*, - Leon Glass, - Sonja Gr?n, - Cristina Masoller, - Yamir Moreno, - Florian Mormann, - Hiroya Nakao*, - Diego Paz?, - Juan G. Restrepo, - Alex Roxin, - Tilo Schwalger*, - Dami?n H. Zanette. *Topics covered* synchronization and nonlinear dynamics - dynamics on networks - connectivity and network inference - data analysis in neuroscience - critical phenomena - neural field models - computational neuroscience - complex oscillatory behaviour in physiology *Tutorials* Leading experts in the field will introduce the different conference themes interactively in tutorials on the first day of the conference week. The speakers are: - Ralph G. Andrzejak, - Arkady Pikovsky, - Michael Rosenblum, - Aneta Stefanovska. A (tentative) list of topics comprises basic theory of synchronization, synchronization approach to data analysis, basic concepts of nonlinear time series analysis, and time series analysis of non-autonomous dynamics. The participants are required to bring laptops installed with MATLAB/Octave if they want to take part in the practical activities. *Organizers* The doctoral students (Early Stage Researchers ) of the H2020 Marie Curie project COSMOS . For further information see amcosconference.com or contact us via e-mail < amcosconference at upf.edu>. Please forward to anyone interested. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mvrigkas at Central.UH.EDU Wed Sep 20 10:56:25 2017 From: mvrigkas at Central.UH.EDU (Vrigkas, Michail) Date: Wed, 20 Sep 2017 09:56:25 -0500 Subject: Connectionists: Postdoctoral Fellows and PhD Candidate Positions at Computational Biomedicine Lab, University of Houston Message-ID: Postdoctoral Fellows and PhD candidates are invited to apply to Dr. Kakadiaris' research laboratory (Computational Biomedicine Lab (CBL)) at the University of Houston. The positions are fully funded and are available immediately. The positions entail innovative research in the field of machine learning and computer vision with special focus on biometrics. The candidates will be part of a pioneering team and will have the opportunity to fully explore computer vision methods applied to real-world problems. The candidates will benefit from mentorship from a diverse research team and will be exposed to cutting-edge technology. What we are looking for: * Exceptional and highly motivated candidates, who enjoy working in a multidisciplinary research environment * Strong mathematical background and programming skills * Fluent communication skills (written and presentation) in English are essential Application process: * Please send your (1) resume, (2) research statement, and (3) statement of career goals to ioannisk at uh.edu, with subject line "Application for PhD/Postdoc positions at CBL: (your name)" About: * Research at CBL is motivated by fundamental open problems in the broad area of machine learning and image analysis, with an emphasis on applications that address some of society's greatest challenges * Houston offers an outstanding environment for research and professional opportunities for growth and collaboration, including the largest medical center in the country Best regards, Michalis Vrigkas ------------------ Michalis Vrigkas Postdoctoral Fellow Computational Biomedicine Lab (CBL) Dept. of Computer Science, University of Houston 4800 Calhoun Rd., Houston, TX 77204, USA +1 (346) 770-5369 | mvrigkas at central.uh.edu Get involved with CBL: cbl.uh.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From geri at robot-learning.de Wed Sep 20 11:09:12 2017 From: geri at robot-learning.de (Gerhard Neumann) Date: Wed, 20 Sep 2017 16:09:12 +0100 Subject: Connectionists: [jobs] Research Fellow in Deep Learning for Autonomous Driving, University of Lincoln, UK Message-ID: Research Fellow in Machine Learning - Fixed TermSchool of Computer Science*Location: *Brayford *Salary: * From ?32,548 per annum Fixed Term for approximately 1 year *Closing Date: * Monday 25 September 2017 *Interview Date: * To be confirmed *Reference: *COS413C We seek to employ a highly motivated post-doctoral researcher that will be working on a joint project with Toyota on the topic "Hierarchical Deep Learning for Autonomous Driving". You should hold a PhD or be near to completion, and should be able to demonstrate a good track record in at least one of the following research fields: - Deep Learning - Reinforcement Learning - Imitation Learning - Movement Primitives and Movement Representations - Variational Bayes and Hierarchical Bayesian Models The contract is for one year. If the project is successful it is likely to be extended by Toyota for several years. Once in post, you will be working with Professor Gerhard Neumann on the aforementioned research topics. The successful candidate will be a member of the Lincoln Centre for Autonomous Systems (L-CAS). The L-CAS is part of the School of Computer Science at the University of Lincoln and specialises in the integration of perception, learning, decision-making, control and interaction capabilities in autonomous systems and the application of this research in fields such as personal robotics, agri-food, healthcare, security, and intelligent transportation. The L-CAS is one of the fastest growing robotics groups in the UK. We provide a highly-dynamic inter-disciplinary research environment with a broad range of collaboration opportunities and a large variety of robots to work with. In this project, you will have access to sophisticated car simulators and real autonomous cars provided by Toyota Europe. The University of Lincoln is a forward-thinking, ambitious institution and you will be working in the heart of a thriving, beautiful, safe and friendly city. The School provides a stimulating environment for academic research, and is located on the picturesque waterfront campus in the historic and vibrant city of Lincoln. The University has just announced a ?130M investment programme, a significant part of which is being invested in new, purpose-built facilities for the School of Computer Science. Lincoln itself is a small but fast growing city in the east-midlands. It offers a fantastic life quality given by moderate living costs, a medieval city centre including a famous cathedral and a beautiful ancient canal system that is still in use by many house boats nowadays. If you would like to know more about this opportunity, please contact Professor Gerhard Neumann (Professor of Computational Learning for Autonomous Systems, gneumann at lincoln.ac.uk). -- -- --------------------------------------------- Prof. Gerhard Neumann Chair of Computational Learning for Autonomous Systems School of Computer Science University of Lincoln Brayford Pool Lincoln, LN6 7TS [image: TEF Gold] *The University of Lincoln, located in the heart of the city of Lincoln, has established an international reputation based on high student satisfaction, excellent graduate employment and world-class research.* The information in this e-mail and any attachments may be confidential. If you have received this email in error please notify the sender immediately and remove it from your system. Do not disclose the contents to another person or take copies. Email is not secure and may contain viruses. The University of Lincoln makes every effort to ensure email is sent without viruses, but cannot guarantee this and recommends recipients take appropriate precautions. The University may monitor email traffic data and content in accordance with its policies and English law. Further information can be found at: http://www.lincoln.ac.uk/legal. -- -- --------------------------------------------- Prof. Gerhard Neumann Chair of Computational Learning for Autonomous Systems School of Computer Science University of Lincoln Brayford Pool Lincoln, LN6 7TS -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbaimon at sandia.gov Thu Sep 21 12:18:33 2017 From: jbaimon at sandia.gov (Aimone, James Bradley) Date: Thu, 21 Sep 2017 16:18:33 +0000 Subject: Connectionists: postdoctoral positions in computational neuroscience at Sandia National Laboratories Message-ID: Colleagues, We are seeking a Postdoctoral Appointee to join an interdisciplinary research program focused on understanding neural computation at the circuit level. The neural computing group includes researchers with expertise in machine learning, cognitive science, neuroscience, physics, engineering, mathematics, and data analytics. Current research topics of interest include computational models of retina, visual cortex (or the neural circuitry underlying perception), and the hippocampus. More information on Sandia's neuroscience research can be found at http://neuroscience.sandia.gov/. We are also encouraging potential applicants to look at several of Sandia's laboratory wide fellowships for recent PhD graduates, including the John von Neumann Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/johnvonneumann_fellowship.html) in computational sciences and the inaugural Jill Hruby Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/hruby_fellowship.html). While an offer of employment is not contingent upon receiving one of these fellowships, a number of them do have deadlines in the coming months. To apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Enter "658202" into the search box to locate this posting. For questions please contact Frances Chance (fschanc at sandia.gov) or Brad Aimone (jbaimon at sandia.gov). -------------------------- James Bradley Aimone, Ph.D. Principal Member of Technical Staff Data-driven and Neural Computing Department Center for Computing Research Sandia National Laboratories http://neuroscience.sandia.gov -------------- next part -------------- An HTML attachment was scrubbed... URL: From pl219 at cam.ac.uk Thu Sep 21 17:00:25 2017 From: pl219 at cam.ac.uk (Pietro Lio') Date: 21 Sep 2017 22:00:25 +0100 Subject: Connectionists: PDP2018 - Second call for Papers - Deadline extended Message-ID: PDP 2018 - Second Call for Papers - Deadline Postponed - http://www.pdp2018.org ***************************************************************************************** Parallel, Distributed, and Network-Based Processing has undergone impressive changes over recent years. New architectures, advanced programming models, improved efficiency and novel application domains have rapidly become the central focus of this discipline. These changes are often a result of cross-fertilisation of parallel and distributed computational paradigms with other rapidly evolving technologies in different disciplines. It is of paramount importance to review and assess these new developments in relation with the recent research achievements in the different areas of parallel and distributed computing, considering both the industrial and scientific point of view. PDP 2018 will provide a forum for the discusssion of these and other issues through original research presentations and will facilitate the exchange of knowledge and new ideas at the highest technical and applicative level. PDP 2018 will be held in Cambridge, UK, March 21-23, 2018. Conference web site http://www.pdp2018.org ***************************************************************************************** * Topics of interest include, but are not restricted to: - Parallel Computing: massively parallel machines; embedded parallel and distributed systems; multi- and many-core systems; GPU and FPGA based parallel systems; parallel I/O; memory organisation. - Distributed and Network-based Computing: Cluster, Grid, Web and Cloud computing; mobile computing; interconnection networks. - Big Data: large scale data processing; distributed databases and archives; large scale data management; metadata; data intensive applications. - Models and Tools: programming languages and environments; runtime support systems; performance prediction and analysis; simulation of parallel and distributed systems. - Systems and Architectures: novel system architectures; high data throughput architectures; service-oriented architectures; heterogeneous systems; shared-memory and message-passing systems; - Middlewares and File systems : distributed operating systems; dependability and survivability; resource management; parallel and distributed file systems; - Advanced Algorithms and Applications: distributed algorithms; multi-disciplinary applications; computations over irregular domains; numerical applications with multi-level parallelism; real-time distributed applications. ***************************************************************************************** * In addition, special sessions will address upcoming novel topics: - GPU computing and Many Integrated Core Computing http://www.pdp2018.org/specialsessions/gpu.html - Advances in High-Performance Bioinformatics and Biomedicine http://www.pdp2018.org/specialsessions/ahpbb.html - Security in Parallel, Distributed and Network-Based Computing http://www.pdp2018.org/specialsessions/snds.html - Energy Efficient Management of Parallel Systems, Platforms, and Computations http://www.pdp2018.org/specialsessions/energy.html - Cloud Computing on Infrastructure as a Service and its Applications http://www.pdp2018.org/specialsessions/ccisa.html - High Performance Computing in Modeling and Simulation http://www.pdp2018.org/specialsessions/hpcms.html - On-chip parallel and network-based systems http://www.pdp2018.org/specialsessions/ocpnbs.html - Storage architectures and Data Transfer systems for BigData and Exascale Computing http://www.pdp2018.org/specialsessions/sdt.html - High Performance Computing for Neuroscience http://www.pdp2018.org/specialsessions/neuro.html - High Performance Computing in Astronomy and Astrophysics http://www.pdp2018.org/specialsessions/astro.html - Parallel and distributed high-performance computing solutions in Systems Biology http://www.pdp2018.org/specialsessions/sysbio.html - Parallel Numerical Methods and Libraries for Heterogeneous Multi/Manycores http://www.pdp2018.org/specialsessions/numerical.html ***************************************************************************************** SPECIAL SESSIONS MAY HAVE DIFFERENT DEADLINES FROM THE PDP2018 MAIN TRACK PLEASE TAKE A LOOK TO THE WEB PAGE OF EACH SPECIAL SESSSION FOR MORE DETAILS ***************************************************************************************** * Important dates: - Paper submission: 3 Nov, 2017 - Acceptance notification: 1 Dic, 2017 - Camera ready due: 22 Dic, 2017 - Conference: 21 - 23 Mar, 2018 ***************************************************************************************** * Submission of papers Prospective authors should submit a full paper not exceeding 8 pages in the Conference proceedings format ( double-column, 10pt) to the conference main track or to a special session track through the EasyChair conference submission system (http://www.easychair.org/conferences/?confpdp2018). Double-blind review: the paper should not contain authors names and affiliations; in the reference list, references to the authors' own work entries should be substituted with the string "omitted for blind review". Publication: all accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Proceedings: authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted to IEEE explore, CDSL, and for indexing among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Special Issues: selected papers will be considered for a publication in a special issue of the journal "Concurrency and Computation: Practice and Experience", edited by Wiley. Further contacts with editors of other international journal are on-going to have more special issues for papers from the special sessions. ***************************************************************************************** Ivan Merelli Istituto di Tecnologie Biomediche, Consiglio Nazionale delle Ricerche 93, via F.lli Cervi, 20090 Segrate (Mi), Italy Phone: +39 02 2642-2606 E-Mail: ivan.merelli at itb.cnr.it Pietro Li? Computer Laboratory, University of Cambridge 15, JJ Thomson Avenue, Cambridge CB3 0FD, UK Phone: +44 (0)1223-763604 E-Mail: pl219 at cam.ac.uk Igor Kotenko Laboratory of Computer Security Problems, SPIIRAS 39, 14th. Liniya, St. Petersburg, 199178, Russia Phone: +7 (812) 328-71-81 E-Mail: ivkote at comsec.spb.ru ******************************************************************************************** Euromicro is an international scientific organization advancing sciences and applications of Information Technology and Microelectronics. A major focus is on organizing conferences and workshops in Computer Science and Computer Engineering. Euromicro is a non-profit association founded in 1974 and annual conferences have taken place in more than 20 countries all over Europe. Find out more at http://www.euromicro.org. From maneesh+connectionists at gatsby.ucl.ac.uk Thu Sep 21 17:30:59 2017 From: maneesh+connectionists at gatsby.ucl.ac.uk (Maneesh Sahani) Date: Thu, 21 Sep 2017 22:30:59 +0100 Subject: Connectionists: Gatsby Unit PhD programme Message-ID: Gatsby Unit PhD: Training in theoretical and computational neuroscience and machine learning. Deadline: 15th November 2017 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study unsupervised, supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision and nonparametric hypothesis testing. The Unit provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, with the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC, with which we share a new, purpose-designed building), with the cross-faculty Centre for Computational Statistics and Machine Learning (CSML), and with other world-class research groups in related departments at UCL including: Computer Science; Functional Imaging; Neuroscience, Physiology and Pharmacology; Psychology; Neurology; Ophthalmology; The Ear Institute; Statistical Science; and the nearby Alan Turing and Francis Crick Institutes. Students at the Gatsby Unit complete a four-year PhD in either machine learning or theoretical neuroscience, with minor emphasis in the complementary field. Courses in the first year, taught in conjunction with colleagues from the SWC and CSML, provide a comprehensive and intensive introduction to both fields. Students are encouraged to work and interact closely with peers and faculty in the SWC and/or CSML throughout their PhD, providing a uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. Full funding is available regardless of nationality and current residence. The Unit also welcomes applicants who have secured or are seeking funding from other sources. Applications (including a CV, transcripts, statement of research interests, and letters from three referees) should be sent directly to admissions at gatsby.ucl.ac.uk. Only applications complete by the deadline are guaranteed full consideration; late applications will be entertained only if places remain unfilled. For further details of our programme and how to apply please see: http://www.gatsby.ucl.ac.uk/teaching/phd Further details of research interests are available from http://www.gatsby.ucl.ac.uk/research.html and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/members.html. -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning, Gatsby Computational Neuroscience Unit, UCL 25 Howland Street, London, W1T 4JG, UK From poma at mmmi.sdu.dk Fri Sep 22 02:59:49 2017 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Fri, 22 Sep 2017 06:59:49 +0000 Subject: Connectionists: [review] Adaptive Control Strategies for Interlimb Coordination in Legged Robots: A Review Message-ID: Dear Colleagues, We would like to introduce you to the recent publication of our literature review on "Adaptive Control Strategies for Interlimb Coordination in Legged Robots" [1]. In this review, we introduce adaptive interlimb coordination for legged robots induced by various factors (locomotion speed, environmental situation, body properties, and task) and show characteristic properties of adaptive interlimb coordination, such as gait hysteresis and different time-scale adaptations. We also discuss the underlying mechanisms and control strategies to achieve adaptive interlimb coordination and the design principle for the control system of legged robots. Any comments and suggestions are welcome. Best regards, Poramate Manoonpong on behalf of Shinya Aoi, Yuichi Ambe, Fumitoshi Matsuno, and Florentin W?rg?tter [1] http://journal.frontiersin.org/article/10.3389/fnbot.2017.00039/full From mozer at colorado.edu Fri Sep 22 14:37:01 2017 From: mozer at colorado.edu (Michael Mozer) Date: Fri, 22 Sep 2017 12:37:01 -0600 Subject: Connectionists: Fwd: Call for submissions: NIPS 2017 Workshop on Cognitively Informed Artificial Intelligence In-Reply-To: References: Message-ID: NIPS 2017 Workshop on Cognitively Informed Artificial Intelligence December 9, 2017 in Long Beach, CA Workshop website: https://sites.google.com/view/ciai2017/home Conference website: https://nips.cc/ *October 20, 2017: Deadline for contributed paper submissions* - Submit your contribution (in PDF format) to cognitivelyinformedAI@ gmail.com November 3, 2017: Notification of contributed paper acceptances November 10, 2017: Final program announced December 9, 2017: Workshop (Long Beach, CA) Overview The goal of this workshop is to bring together cognitive scientists, neuroscientists, and AI researchers to discuss opportunities for improving machine learning, by leveraging our scientific understanding of human perception and cognition. There is a history of making these connections: artificial neural networks were originally motivated by the massively parallel, deep architecture of the brain; considerations of biological plausibility have driven the development of learning procedures; and architectures for computer vision draw parallels to the connectivity and physiology of mammalian visual cortex. However, beyond these celebrated examples, cognitive science and neuroscience has fallen short of its potential to influence the next generation of AI systems. Areas such as memory, attention, and development have rich theoretical and experimental histories, yet these concepts, as applied to AI systems so far, only bear a superficial resemblance to their biological counterparts. The premise of this workshop is that there are valuable data and models from cognitive science that can inform the development of intelligent adaptive machines, and can endow learning architectures with the strength and flexibility of the human cognitive architecture. The structures and mechanisms of the mind and brain can provide the sort of strong inductive bias needed for machine-learning systems to attain human-like performance. We conjecture that this inductive bias will become more important as researchers move from domain-specific tasks such as object and speech recognition toward tackling general intelligence and the human-like ability to dynamically reconfigure cognition in service of changing goals. For ML researchers, the workshop will provide access to a wealth of data and concepts situated in the context of contemporary ML. For cognitive scientists, the workshop will suggest research questions that are of critical interest to ML researchers. The workshop will focus on three interconnected topics of particular relevance to ML: (1) *Learning and development*. Cognitive capabilities expressed early in a child?s development are likely to be crucial for bootstrapping adult learning and intelligence. Intuitive physics and intuitive psychology allow the developing organism to build an understanding of the world and of other agents. Additionally, children and adults often demonstrate ?learning-to-learn,? where previous concepts and skills form a compositional basis for learning new concepts and skills. (2) *Memory*. Human memory operates on multiple time scales, from memories that literally persist for the blink of an eye to those that persist for a lifetime. These different forms of memory serve different computational purposes. Although forgetting is typically thought of as a disadvantage, the ability to selectively forget/override irrelevant knowledge in nonstationary environments is highly desirable. (3) *Attention and Decision Making*. These refer to relatively high-level cognitive functions that allow task demands to purposefully control an agent?s external environment and sensory data stream, dynamically reconfigure internal representation and architecture, and devise action plans that strategically trade off multiple, oft-conflicting behavioral objectives. Our long-term goals are: - to incorporate insights from human cognition to suggest novel and improved AI architectures; - to facilitate the development of ML methods that can better predict human behavior; and - to support the development of a field of ?cognitive computing? that is more than a marketing slogan?a field that improves on both natural and artificial cognition by synergistically advancing each and integrating their strengths in complementary manners. Organizers Angela Yu, UCSD Brenden Lake, NYU Mike Mozer, U. Colorado Boulder Contributing to the workshop The goal of this workshop is to bring together cognitive scientists, neuroscientists, and AI researchers to discuss opportunities for improving machine learning, by leveraging our scientific understanding of human perception and cognition. We have reserved time for contributed papers and posters. We welcome submissions that present at least preliminary results. We are specifically aiming to identify work showing that cognitively-informed models and learning systems outperform standard AI/ML approaches. We will select based on (1) the depth to which cognitive principles, theories, and models inform the system, and (2) the performance advantage of the cognitively informed system. We encourage submissions making contact with any area of cognition?attention, perception, development, memory, learning from experience, judgment and decision making?which elucidate the computational principles or mechanisms that allow people to outperform machines, and which suggest novel approaches to solving AI challenges such as: flexible and generalizable learning, task-dependent information acquisition and processing, avoidance of catastrophic forgetting, and operating subject to energy (computational efficiency) constraints. We prefer brief submissions of up to four pages, excluding references, formatted in NIPS style. No need to anonymize submissions. If you have a longer manuscript already submitted and under review, you may submit the manuscript instead. Accepted submissions will be posted on the workshop page if the authors wish, but otherwise the submissions will be used only for reviewing contributions. Submit your contribution (in PDF format) to cognitivelyinformedAI at gmail.com. Feel free to contact the organizers if you have questions about the relevance of your research for the workshop. *NOTE: The main NIPS 2017 conference is currently sold out (waitlist available). A limited number of workshop registrations are still available, so please register ASAP if you intend to contribute to or attend the workshop. Registrations can be cancelled before Nov. 15th, 2017 for a full refund. * -------------- next part -------------- An HTML attachment was scrubbed... URL: From decebalmocanu at gmail.com Fri Sep 22 06:26:03 2017 From: decebalmocanu at gmail.com (Decebal Mocanu) Date: Fri, 22 Sep 2017 12:26:03 +0200 Subject: Connectionists: Three PhD vacancies (Marie-Curie) on Machine Learning for Activity Recognition at Philips Research Eindhoven and KU Leuven Message-ID: Three PhD vacancies (Marie-Curie) on Machine Learning for Activity Recognition, in the area of Personal Health: ? ESR1 - Health Behaviour Analytics on heterogeneous Data (Philips Research Eindhoven) ? ESR2 - Scalability of data analytics for activity recognition (KU Leuven) ? ESR3 ? Scalability of data processing for activity recognition (KU Leuven) Candidates will respectively be located at Philips Eindhoven & KU Leuven, but there is an intensive program of secondments on locations abroad (including Fudan university (China), Philips Eindhoven (Netherlands) & University of Macerata (Italy). For more detailed information and the application procedure, we refer to http://ricerca.unimc.it/en/heart Deadline for submission is October 14th, 2017. Best wishes, Decebal Mocanu -------------- next part -------------- An HTML attachment was scrubbed... URL: From dw0031 at surrey.ac.uk Fri Sep 22 08:59:53 2017 From: dw0031 at surrey.ac.uk (dw0031 at surrey.ac.uk) Date: Fri, 22 Sep 2017 12:59:53 +0000 Subject: Connectionists: 1st Call: SiSEC 2018 Message-ID: ------------------------------------ Mail Title: ---------- SiSEC 2018: first call: tasks proposal Mail content: -------------------- *On behalf of the SiSEC committee. Apologies for cross-posting* *** FIRST CALL FOR PARTICIPATION : TASKS PROPOSAL *** Community-Based Signal Separation Evaluation Campaign (SiSEC 2018) https://sisec.inria.fr/ Task proposals deadline: October, 15th 2017 Following the success of the six previous editions, we are glad to announce the launch of the SiSEC 2018 campaign for the evaluation of source separation algorithms. This campaign is open to anyone, whether you are an expert or a newcomer, you are interested in e.g. audio, biomedical signal or image processing, and your algorithm relies on prior information or not. SiSEC 2018 is held in conjunction of the LVA/ICA 2018 conference, to be held in Surrey, UK, on July 2-6th 2018: http://cvssp.org/events/lva-ica-2018 SiSEC is community-based endeavor: all aspects of evaluation, including datasets and evaluation criteria, are to be agreed between the participants. We organizers will collect the results submitted by all participants. As a starting point, two audio tasks are proposed for this SiSEC: - Professionally produced music recordings (MUS) *** New data! *** - Audio Source Counting (ASC) If you wish to participate or comment upon the proposed tasks, you can post your comments on https://sisec.inria.fr/ You are also most welcome to propose a new task for this SiSEC if you feel there is an important aspect of signal separation that could raise interest of a research community. If this new task is accepted by the SiSEC committee, it will be included in this SiSEC. Important Dates Oct 15th 2017 ? Deadline for tasks proposal Nov 17th 2017 ? Call for submission of separation results January 15th 2018 ? LVA/ICA 2018 Paper submission deadline February 12th 2018 ? Submission of separation results April 16 2018 ? LVA/ICA Camera-ready papers deadline June 2nd 2018 ? LVA/ICA 2018 conference begins. NEXT DEADLINE: DETAILED TASK SPECIFICATION AND DATASET COLLECTION October, 15th, 2017 --------------------------------- From guangliang.li2010 at gmail.com Fri Sep 22 07:20:08 2017 From: guangliang.li2010 at gmail.com (Guangliang Li) Date: Fri, 22 Sep 2017 19:20:08 +0800 Subject: Connectionists: [meetings] [CFP] IEEE RAS Humanoids 2017 Workshop on Creating Meaning With Robot Assistants: The Gap Left by Smart Devices Message-ID: Apologies for cross posting! IEEE RAS International Conference on Humanoid Robots 2017 workshop on Creating Meaning With Robot Assistants: The Gap Left by Smart Devices https://sites.google.com/site/humanoinds2017workshop/home November 15, 2017 Birmingham, UK Objectives: An Intelligent Personal Assistant (IPA) such as a smartphone or that tiny smart device that sits on the table reacting to voice command is a basic form of a shared activity between human and an agent. The very warm reception of IPAs into the household is a clear manifestation of human?s interest in collaborating with a digital companion on a shared activity, even with such limited functionality. The phenomenal success of IPAs shows potential for robot assistants. After all, people have long desired for robot assistants even when the technology was not ready yet. Robots, with their ability to interact with the physical world, have more capabilities than IPAs, thus they can push further the value of a shared activity. However, when it comes to robot assistants, human expectation sets the bar high. Designing them merely as extension to IPAs requires a well-considered adaptation of their physical appearance, e.g., human-like form factor and their cognitive capabilities not to raise expectations from the user which cannot be met. On the other hand, treating the role of the robot assistant like any specialized service robot with interaction-limited personality (e.g. Roomba) puts it in the same category as our appliances. Robot assistants copying the mobility-limited focus of IPAs would be a waste of the emotional potential provided by their agility. Of equal importance as the objective completion of shared activity, robot assistants should enhance meaningful cooperation. For humans to embrace robot assistants, in a household crowded by smart devices and service robots, robot assistants need to at least meet human expectations. This multidisciplinary workshop will gather researchers, engineers and designers on the crossroad of finding a niche for robot assistants to be relevant. In particular, we want to discuss the design of robot assistants that deliver more added values or features in its assistive task, cultivating trust and comfort that ultimately increases human appreciation of the robot assistant as both engage in a shared activity. Paper contributions with either experimental or theoretical focus are welcome. Moreover, preliminary results and experiments or applications with compelling use cases in the realm of robot assistants are encouraged. Papers addressing topics related to the workshop should be submitted electronically with two-column format in the IEEE style via EasyChair: https://easychair.org/conferences/?conf=camera2017 . Paper length should be up to 6 pages. The templates can be found on the Humanoids conference via the link: http://humanoids2017.loria.fr/submissions/paper-submission/ . Important dates: Submission deadline: October 31st, 2017 Notification of Acceptance: November 7th, 2017 Topics of interest: ? Multimodal and Spoken Language Understanding ? Social Cognitive Systems ? Socially Intelligent Robots ? Collaborative Robotics ? Active Perception (Acoustics, Vision, etc.) ? Human Robot Interaction ? Human Behavior Modeling ? Affective Computing ? Human Intention Recognition ? Interactive Machine learning ? Human-centered reinforcement learning ? Learning from demonstration ? Imitation learning ? Active learning in robotics ? Mutual shaping of robots and human ? Performance metrics and benchmarking ? Applications and challenges in human-centered robot assistant systems Invited Speakers: ? Maja Pantic, Imperial College London, UK ? Paulo Alvito, IDMind Living Robotcs, Portugal ? Nick Hawes, University of Birmingham, UK Organizing Committee: Randy Gomez, Honda Research Institute Japan Guangliang Li, Ocean University of China Keisuke Nakamura, Honda Research Institute Japan Manuel Muehlig, Honda Research Institute Europe Martin Heckmann, Honda Research Institute Europe Samer Moubayed, Furhat Robotics & KTH, Sweden -------------- next part -------------- An HTML attachment was scrubbed... URL: From guangliang.li2010 at gmail.com Fri Sep 22 07:15:49 2017 From: guangliang.li2010 at gmail.com (Guangliang Li) Date: Fri, 22 Sep 2017 19:15:49 +0800 Subject: Connectionists: IEEE RAS Humanoids 2017 Workshop on Creating Meaning With Robot Assistants: The Gap Left by Smart Devices Message-ID: <51478EEB-EF16-442E-960A-64368C40EAB6@gmail.com> Apologies for cross posting! IEEE RAS International Conference on Humanoid Robots 2017 workshop on Creating Meaning With Robot Assistants: The Gap Left by Smart Devices https://sites.google.com/site/humanoinds2017workshop/home November 15, 2017 Birmingham, UK Objectives: An Intelligent Personal Assistant (IPA) such as a smartphone or that tiny smart device that sits on the table reacting to voice command is a basic form of a shared activity between human and an agent. The very warm reception of IPAs into the household is a clear manifestation of human?s interest in collaborating with a digital companion on a shared activity, even with such limited functionality. The phenomenal success of IPAs shows potential for robot assistants. After all, people have long desired for robot assistants even when the technology was not ready yet. Robots, with their ability to interact with the physical world, have more capabilities than IPAs, thus they can push further the value of a shared activity. However, when it comes to robot assistants, human expectation sets the bar high. Designing them merely as extension to IPAs requires a well-considered adaptation of their physical appearance, e.g., human-like form factor and their cognitive capabilities not to raise expectations from the user which cannot be met. On the other hand, treating the role of the robot assistant like any specialized service robot with interaction-limited personality (e.g. Roomba) puts it in the same category as our appliances. Robot assistants copying the mobility-limited focus of IPAs would be a waste of the emotional potential provided by their agility. Of equal importance as the objective completion of shared activity, robot assistants should enhance meaningful cooperation. For humans to embrace robot assistants, in a household crowded by smart devices and service robots, robot assistants need to at least meet human expectations. This multidisciplinary workshop will gather researchers, engineers and designers on the crossroad of finding a niche for robot assistants to be relevant. In particular, we want to discuss the design of robot assistants that deliver more added values or features in its assistive task, cultivating trust and comfort that ultimately increases human appreciation of the robot assistant as both engage in a shared activity. Paper contributions with either experimental or theoretical focus are welcome. Moreover, preliminary results and experiments or applications with compelling use cases in the realm of robot assistants are encouraged. Papers addressing topics related to the workshop should be submitted electronically with two-column format in the IEEE style via EasyChair: https://easychair.org/conferences/?conf=camera2017 . Paper length should be up to 6 pages. The templates can be found on the Humanoids conference via the link: http://humanoids2017.loria.fr/submissions/paper-submission/ . Important dates: Submission deadline: October 31st, 2017 Notification of Acceptance: November 7th, 2017 Topics of interest: ? Multimodal and Spoken Language Understanding ? Social Cognitive Systems ? Socially Intelligent Robots ? Collaborative Robotics ? Active Perception (Acoustics, Vision, etc.) ? Human Robot Interaction ? Human Behavior Modeling ? Affective Computing ? Human Intention Recognition ? Interactive Machine learning ? Human-centered reinforcement learning ? Learning from demonstration ? Imitation learning ? Active learning in robotics ? Mutual shaping of robots and human ? Performance metrics and benchmarking ? Applications and challenges in human-centered robot assistant systems Invited Speakers: ? Maja Pantic, Imperial College London, UK ? Paulo Alvito, IDMind Living Robotcs, Portugal ? Nick Hawes, University of Birmingham, UK Organizing Committee: Randy Gomez, Honda Research Institute Japan Guangliang Li, Ocean University of China Keisuke Nakamura, Honda Research Institute Japan Manuel Muehlig, Honda Research Institute Europe Martin Heckmann, Honda Research Institute Europe Samer Moubayed, Furhat Robotics & KTH, Sweden -------------- next part -------------- An HTML attachment was scrubbed... URL: From ihler at ics.uci.edu Fri Sep 22 20:17:48 2017 From: ihler at ics.uci.edu (Alexander Ihler) Date: Fri, 22 Sep 2017 17:17:48 -0700 Subject: Connectionists: CFP: AAAI-2018 Workshop on Planning and Inference Message-ID: CALL FOR PAPERS AAAI-2018 Workshop on Planning and Inference 2/3 February 2018, New Orleans, Louisiana, USA http://www.cs.tufts.edu/~roni/PI2018/index.html Important Dates: - Submission deadline: October 13, 2017 Electronic papers due by 11:59 PM UTC-10 (midnight Hawaii) - Notification: November 9, 2017 - Workshop date: 2/3 February, 2018 ### Description: The workshop is focused on the problems of Stochastic Planning and Probabilistic Inference and the intimate connections between them. Both Planning and inference are core tasks in AI and the connections between them have been long recognized. However, much of the work in these subareas is disjoint. The last decade has seen many exciting developments with explicit constructions and reductions between planning and inference that aim for efficient algorithms for large scale problems and applications. The work in this area is is distributed across many conferences, sub-communities, and sub-topics and varies from discrete to continuous problems, single vs. multi-agent problems, general vs. spatial problems, propositional vs. relational problems, model based planning vs. reinforcement learning, and exact/optimal vs. approximate vs. heuristic solutions. Applications similarly vary for example from scheduling to sustainability and to robot control. The goal of this workshop is to bring together researchers from all these areas and facilitate synergy and exchange of ideas: to discuss core ideas, techniques and algorithms that take advantage of the connection between planning and inference, identify opportunities and challenges for future work, and explore applications and how they can inform the development of such work. The workshop will include invited talks by experts on planning and inference, contributed talks and a poster session, leaving room for discussion and interaction among participants. ### Invited Speakers: - Rina Dechter, UC Irvine, USA. - Marc Toussaint, University of Stuttgart, Germany. - Pascal Van Hentenryck, University of Michigan, USA. ### Contributions: We invite 4 types of submissions (typeset in the AAAI style): - Papers describing current unpublished work (up to 8 pages including references). - Review of mature work (from multiple papers) by the authors (up to 8 pages including references). - Papers recently published at other venues (1 page abstract with a link to the full paper). - Position papers (2 pages including references). All papers should clearly explain how the work relates planning and inference. We welcome relevant submissions of papers being reviewed for AAAI 2018 or at other venues. ### Submission procedure: Papers are to be submitted via easychair through https://easychair.org/conferences/?conf=planinf2018 ### Organizers - Roni Khardon, Tufts University, USA - Akshat Kumar, Singapore Management University, Singapore - Alex Ihler, UC Irvine, USA Contact Information: Queries about the workshop should be directed to: planinf2018 at easychair.org From Jakob.Macke at caesar.de Mon Sep 25 06:41:52 2017 From: Jakob.Macke at caesar.de (Jakob Macke) Date: Mon, 25 Sep 2017 10:41:52 +0000 Subject: Connectionists: Fully funded PhD student positions at IMPRS Brain and Behavior Bonn/Florida Message-ID: <78F6A1F6-93E4-415A-A30C-CE306E0B2E00@caesar.de> The INTERNATIONAL MAX PLANCK RESEARCH SCHOOL (IMPRS) FOR BRAIN AND BEHAVIOR is a transatlantic collaboration between the University of Bonn and the Max Planck associated Center for Advanced European Science and Research (caesar) along with the USA partners Florida Atlantic University and the Max Planck Florida Institute for Neuroscience (MPFI). We seek to fill at least 15 fully funded PhD student positions - NEUROSCIENCE OUR SCHOOL: The first of its kind to unite two Max Planck Institutes (caesar and MPFI) on both sides of the Atlantic, and their university partners (Bonn University and FAU): the IMPRS FOR BRAIN AND BEHAVIOR offers a competitive, English language, interdisciplinary, world-class PhD training and research program in the neurosciences. OUR RESEARCH: IMPRS for Brain and Behavior research projects address how sensory information is encoded in neural circuits and is transformed ultimately to behavior. This research ranges from understanding molecular signaling cascades in spines during learning to understanding how sensory and motor circuits are activated in the awake behaving animal. THE POSITIONS: More than 35 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter. YOUR PROFILE: Highly qualified and motivated aspiring PhD student from any nationality. Proven track record of academic and research excellence. Master?s degree (or equivalent) in biology, chemistry, physics, mathematics, computer science, engineering, or other relevant subject. Truly superior bachelor students may be considered. Fluency in written and spoken English. OUR OFFER: Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for 3 years (extension possible) and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Positions must be started not later than October 1, 2018. YOUR APPLICATION: Apply online at: http://www.imprs-brain-behavior.mpg.de by the December 1, 2017 deadline. Only applications submitted through the online portal will be considered! Short-listed candidates will be interviewed in March 12-13, 2018. CONTACT: Denise Butler, Coordinator (IMPRS.info at caesar.de) From erdi.peter at wigner.mta.hu Mon Sep 25 16:29:24 2017 From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=) Date: Mon, 25 Sep 2017 22:29:24 +0200 (CEST) Subject: Connectionists: Cognitive Systems Research, Volume 45, october 2017 Message-ID: Cognitive Systems Research Volume 45, Pages 1-144 (October 2017) An electrophysiological model of working memory performance Golnaz Baghdadi, Farzad Towhidkhah, Reza Rostami Pages 1-16 MetrIntMeas a novel metric for measuring the intelligence of a swarm of cooperating agents Laszlo Barna Iantovics, Frank Emmert-Streib, Sabri Arik Pages 17-29 Low-literates support needs for societal participation learning: Empirical grounding of theory- and model-based design Dylan G.M. Schouten, Rosie T. Paulissen, Marieke Hanekamp, Annemarie Groot, Mark A. Neerincx, Anita H.M. Cremers Pages 30-47 The cognitive underpinnings of policy process studies: Introduction to a special issue of Cognitive Systems Research Bryan D. Jones, Herschel F. Thomas Pages 48-51 Awareness improves problem-solving performance Jos?? F. Fontanari Pages 52-58 Deep learning and punctuated equilibrium theory Simon Hegelich Pages 59-69 Clustering colors Igor Douven Pages 70-81 Modeling the instinctive-emotional-thoughtful mind Daniel S. Levine Pages 82-94 Visual cognitive algorithms for high-dimensional data and super-intelligence challenges Boris Kovalerchuk Pages 95-108 Active and semi-supervised learning for object detection with imperfect data Phill Kyu Rhee, Enkhbayar Erdenee, Shin Dong Kyun, Minhaz Uddin Ahmed, Songguo Jin Pages 109-123 How Otto did not extend his mind, but might have: Dynamic systems theory and social-cultural group selection William A. Rottschaefer Pages 124-144 From stefano.panzeri at gmail.com Tue Sep 26 03:49:13 2017 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Tue, 26 Sep 2017 09:49:13 +0200 Subject: Connectionists: postdoctoral positions in neural coding - IIT Rovereto, Italy Message-ID: We are seeking candidates for up to three postdoctoral position in computational neuroscience in the Neural Computation Laboratory at the IIT ( http://cncs.iit.it/labs/neural-computation ) directed by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri) and located in Rovereto (Trento), Italy. This laboratory aims to crack the neural code using neural network modeling and computational analyses of neurophysiological experiments. The laboratory offers a range of strongly interdisciplinary expertise in computational neuroscience, including information theory and other types of advanced single-trial neural analyses, advanced spectral analysis, and biophysically plausible neural network modeling. The successful candidate will develop and use tools for the analysis of large-scale simultaneous recordings of the spiking activity of cells in the cortex to understand how populations of neurons carry information. The successful candidate would have the opportunity to benefit from an extensive set of existing collaborations with leading neurophysiological laboratories, including those of Nikos Logothetis at Max Planck Tubingen (collaborating on oscillations, sensory information coding and neuromodulation), Tommaso Fellin at IIT (collaborating on Optogenetics, Neurophysiology and Neural coding), Mathew Diamond at SISSA (collaborating on the behavioral impact of information carried by spike timing), and Christopher Harvey at Harvard Medical School (collaborating on neural population dynamics and decision making). We are willing to consider candidates interested in any of the aspects of neural coding of interest to the laboratory. Candidates must hold a PhD in a numerate scientific discipline. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. For reference to recent work of the lab please see : Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. Neuron 93: 491-507 Safaai, H., et al (2015) Modelling the effect of Locus Coeruleous firing on single trial cortical state dynamics and sensory processing. Proc. Natl. Acad. Sci. USA 112(41): 12834?12839 Zuo Y, et al (2015) Spike timing and spike rate make complementary contributions to perceptual decisions in rat S1 and S2 cortex. Current Biology 25: 357-363 Besserve M, et al (2015) Shifts of gamma phase across primary visual cortical sites reflect dynamic stimulus- modulated information transfer. PLoS Biology 13(9): e1002257 The formal deadline for applications is Oct 15th 2017. However, interested candidates are advised to contact informally Stefano Panzeri ( stefano.panzeri at iit.it) *as soon as possible*. The formal application should be sent by email to selezioni at iit.it and to Stefano Panzeri (*stefano.panzeri at iit.it) *. The formal application should contain the applicant?s CV, a brief statement of research interests, and names and email addresses of 2 or 3 referees. Thanks Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From csutton at inf.ed.ac.uk Tue Sep 26 06:04:42 2017 From: csutton at inf.ed.ac.uk (Charles Sutton) Date: Tue, 26 Sep 2017 11:04:42 +0100 Subject: Connectionists: JOB: Postdoctoral research positions: Machine learning for data scientists, Alan Turing Institute, London Message-ID: <0428ECB3-1B99-4463-A1CF-7A623B0BA5DD@inf.ed.ac.uk> ====================================================== TWO POSTDOCTORAL RESEARCH ASSOCIATE POSITIONS: ARTIFICIAL INTELLIGENCE TOOLS FOR DATA SCIENTISTS ====================================================== Data analytics, the process of transforming a raw dataset into useful knowledge, can be a painstaking and expensive process, but often the majority of effort lies not in building statistical models, or training machine learning algorithms, but in all the other tasks that go into in data preparation, exploration, and interpretation. The Artificial Intelligence for Data Analytics (AIDA) project at the Alan Turing Institute is an ambitious effort to develop an integrated artificial intelligence system that guides the user through every step of the process, magnifying the productivity of working data scientists. The AIDA project will be led by Turing Fellows Prof Chris Williams (University of Edinburgh), Prof Zoubin Ghahramani FRS (University of Cambridge), Prof Ian Horrocks FRS (University of Oxford), and Dr Charles Sutton (University of Edinburgh). We are seeking talented postdoctoral researchers in machine learning and semantic technologies. As many as two positions are available. These positions will be located at The Alan Turing Institute, the UK National Research Institute for Data Science, in London. For full consideration, please apply by 23 October 2017 following the instructions here: https://www.turing.ac.uk/jobs/2-research-associates-artificial-intelligence-data-analytics/ -- Charles Sutton * Reader in Machine Learning * University of Edinburgh Director, EPSRC CDT in Data Science * http://datascience.inf.ed.ac.uk/ Faculty Fellow, Alan Turing Institute * http://turing.ac.uk/ Please excuse brevity: http://theoatmeal.com/comics/email_monster The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From marcello.pelillo at gmail.com Tue Sep 26 13:18:01 2017 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Tue, 26 Sep 2017 19:18:01 +0200 Subject: Connectionists: Call for Participation - EMMCVPR 2017 (Venice, Italy) (co-located with ICCV 2017) Message-ID: ?Call for Participation? ? *>>> ?Early registration deadline: 15 October 2017? <<<* *EMMCVPR 2017* *11th International Conference on Energy Minimization Methods inComputer Vision and Pattern Recognition* 30 October ? 1 November 2017 Venice, Italy (Co-located with ICCV 2017 ) http://www.dsi.unive.it/emmcvpr17 Energy minimization methods have become an established computational paradigm in computer vision and pattern recognition. EMMCVPR is a regular bi-annual conference dedicated to advancing the state of the art in this field. ? This year marks the 20th anniversary of the foundation of the workshop series, with the inaugural meeting having taken place in Venice in 1997 , and we will celebrate it by bringing it back to Venice. The conference will be co-located with ICCV 2017 , the International Conference on Computer Vision. The scientific program will include the presentation of invited plenary talks ? ? and contributed research papers. ?Confirmed invited speakers: Joachim Buhmann and Paolo Frasconi >>> ?Early registration deadline?: *15 October 2017* ?See the ?conference's website for details. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Tue Sep 26 18:29:16 2017 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Wed, 27 Sep 2017 00:29:16 +0200 Subject: Connectionists: COSYNE 2018: Meeting announcement and Call for workshop proposals Message-ID: ==================================================== Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission opens: 10 October 2017 Abstract submission deadline: 20 November 2017 Workshop pre-proposal deadline: 01 October 2017 Workshop proposal deadline: 31 October 2017 COSYNE SPEAKERS Tim Behrens (Oxford) Josh Berke (UCSF) Tiago Branco (UCL) Jessica Cardin (Yale) Claudia Clopath (Imperial) Marlene Cohen (Pittsburgh) Iain Couzin (Max-Planck) Carina Curto (Penn State) Ann Graybiel (MIT) Vivek Jayaraman (Janelia) Mate Lengyel (Cambridge) Joni Wallis (Berkeley) Byron Yu (CMU) When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington) Program Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Workshop Chairs: Laura Busse (LMU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------- PRE-PROPOSALS In an effort to coordinate submissions, the organizers are *strongly encouraged* to submit a pre-proposal by *01 October 2017.* Pre-proposals will be shared among submitters. Pre-proposals are not mandatory but workshops with a pre-proposal will have priority. The organizers may submit the full proposal by its deadline. A series of workshops will be held after the main Cosyne meeting (www.cosyne.org). The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at Cosyne.org -> Workshops). Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a single person should not speak in more than one of the Workshops taking place on the same day. WORKSHOP DETAILS - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held at Breckenridge, CO, a ski resort located 100 miles (approximately two hours) from the Denver International Airport. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Deadline for pre-proposals: 01 October 2017 Deadline for proposals: 31 October 2017 Format: plain text only, please no attachments, email to workshops [at] cosyne.org (Laura Busse, Ralf Haefner) PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs 2 days, please explain why. - A brief resume of the workshop organizer along with a short list of workshop-relevant publications (about half a page total). FULL PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complementary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE WORKSHOP QUESTIONS workshops [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details. From nian.zhang6 at gmail.com Tue Sep 26 15:12:35 2017 From: nian.zhang6 at gmail.com (Nian Ashlee Zhang) Date: Tue, 26 Sep 2017 15:12:35 -0400 Subject: Connectionists: CFP - ICIST2018, Cordoba, Granada, and Seville, Spain, June 30-July 6, 2018 Message-ID: Call for Papers http://conference.cs.cityu.edu.hk/isist/ The Eighth International Conference on Information Science and Technology (ICIST 2018) will be held in Cordoba, Granada, and Seville, three pearls of Andalusia in Spain during June 30-July 6, 2018, following the successes of previous events. ICIST 2018 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Authors are invited to submit full-length papers by the submission deadline through the online submission system. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. All accepted papers are expected to be included in IEEE Xplore Digital Library. Important Dates Paper submission deadline: February 1, 2018 Notification of acceptance: March 1, 2018 Camera-ready copy and author registration: April 1, 2018 Tutorials in Granada: June 30/July 1, 2018 Main program in Cordoba: July 2-4, 2018 Workshops in Seville: July 5/6, 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From darmeshi at gmail.com Tue Sep 26 17:23:28 2017 From: darmeshi at gmail.com (Dar Meshi) Date: Tue, 26 Sep 2017 17:23:28 -0400 Subject: Connectionists: Postdoc in Social and Media Neuroscience Message-ID: The newly formed Social & Media Neuroscience Lab at Michigan State University is looking for a highly motivated postdoctoral researcher to conduct fMRI studies on social ? ? reward processing and how it relates to social media use. Primary responsibilities will include designing and programming experiments, recruiting participants, analyzing behavioral and fMRI data, preparing conference presentations, and publishing research. This post is ideally suited for someone aiming for an independent research career with a focus on social, communication or decision neuroscience. The initial appointment will be for 1 year, with opportunity for reappointment for an additional 1 year conditional on satisfactory performance. The anticipated start date is winter 2018. Minimum Requirements: - Doctoral degree in psychology, neuroscience, communication, computer science, statistics, or related fields - Excellent organizational, interpersonal, and communication skills - Experience analyzing neuroimaging data (e.g., FSL, SPM, etc.) - Experience in programming (e.g., MATLAB, Python, etc.) Required Application Materials: Applications should include: (1) a cover letter indicating research interests and experience, (2) a curriculum vita, and (3) names and contact information for three professional references. Review of applications will begin immediately and continue until the position is filled. To apply, or for more information, please contact Dar Meshi at darmeshi(at) msu.edu. Website: www.darmeshi.com MSU is an affirmative action, equal opportunity employer. MSU is committed to achieving excellence through cultural diversity. The university actively encourages applications and/or nominations of women, persons of color, veterans and persons with disabilities. ----- Dar Meshi, Ph.D. Assistant Professor Department of Advertising + Public Relations College of Communication Arts and Sciences Michigan State University 404 Wilson Road, Room 324 East Lansing, MI 48824 Phone: 517-355-1282 <(517)%20355-1282> Website: www.darmeshi.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From hpu at create.aau.dk Thu Sep 28 06:24:18 2017 From: hpu at create.aau.dk (Hendrik Purwins) Date: Thu, 28 Sep 2017 12:24:18 +0200 Subject: Connectionists: CFP: ML4Audio @ NIPS17 Message-ID: We call for submissions to our workshop "Machine Learning for Audio Signal Processing (ML4Audio)" at NIPS 2017, Dec 8th in Los Angeles. Apologies for the cross-posting: Audio signal processing is currently undergoing a paradigm change, where data-driven machine learning is replacing hand-crafted feature design. This has led some to ask whether audio signal processing is still useful in the "era of machine learning." There are many challenges, new and old, including the interpretation of learned models in high dimensional spaces, problems associated with data-poor domains, adversarial examples, high computational requirements, and research driven by companies using large in-house datasets that is ultimately not reproducible. ML4Audio (https://nips.cc/Conferences/2017/Schedule?showEvent=8790) aims to promote progress, systematization, understanding, and convergence of applying machine learning in the area of audio signal processing. Specifically, we are interested in work that demonstrates novel applications of machine learning techniques to audio data, as well as methodological considerations of merging machine learning with audio signal processing. We seek contributions in, but not limited to, the following topics: - audio information retrieval using machine learning; - audio synthesis with given contextual or musical constraints using machine learning; - audio source separation using machine learning; - audio transformations (e.g., sound morphing, style transfer) using machine learning; - unsupervised learning, online learning, one-shot learning, reinforcement learning, and incremental learning for audio; - applications/optimization of generative adversarial networks for audio; - cognitively inspired machine learning models of sound cognition; - mathematical foundations of machine learning for audio signal processing. ML4Audio will accept five kinds of submissions: 1. novel unpublished work, including work-in-progress; 2. recent work that has been already published or is in review (please clearly refer to the primary publication); 3. review-style papers; 4. position papers; 5. system demonstrations. Submissions: Extended abstracts as pdf in NIPS paper format, 2-4 pages, excluding references. Submissions do not need to be anonymised. Submissions might be either accepted as talks or as posters. Submission link: https://easychair.org/conferences/?conf=ml4audio Publication: We are currently pursuing the organisation of a special journal issue of selected papers from the workshop, but all works presented at the workshop will be published online. Important Dates: Submission Deadline: October 20, 2017 Acceptance Notification: October 31, 2017 Camera Ready Submissions: November 30, 2017 Workshop: Dec 8, 2017 (Note that the main conference is sold out, but we have workshop tickets reserved for presenters of accepted papers.) This workshop especially targets researchers, developers and musicians in academia and industry in the area of MIR, audio processing, hearing instruments, speech processing, musical HCI, musicology, music technology, music entertainment, and composition. Invited Speakers: Karen Livescu (Toyota Technological Institute at Chicago) Sander Dieleman (Google DeepMind) Douglas Eck (Google Magenta) Marco Marchini (Spotify) N.N. (Pandora) Panel Discussion: Sepp Hochreiter (Johannes Kepler University Linz) Invited speakers Others to be decided ML4Audio Organisation Committee: - Hendrik Purwins, Aalborg University Copenhagen, Denmark (hpu at create.aau.dk) - Bob L. Sturm, Queen Mary University of London, UK (b.sturm at qmul.ac.uk) - Mark Plumbley, University of Surrey, UK (m.plumbley at surrey.ac.uk) PROGRAM COMMITTEE: Abeer Alwan (University of California, Los Angeles) Jon Barker (University of Sheffield) Sebastian B?ck (Johannes Kepler University Linz) Mads Gr?sb?ll Christensen (Aalborg University) Maximo Cobos (Universitat de Valencia) Sander Dieleman (Google DeepMind) Monika D?rfler (University of Vienna) Shlomo Dubnov (UC San Diego) Philippe Esling (IRCAM) C?dric F?votte (IRIT) Emilia G?mez (Universitat Pompeu Fabra) Emanu?l Habets (International Audio Labs Erlangen) Jan Larsen (Danish Technical University) Marco Marchini (Spotify) Ricard Marxer (University of Toulon) Rafael Ramirez (Universitat Pompeu Fabra) Ga?l Richard (TELECOM ParisTech) Fatemeh Saki (UT Dallas) Jan Schl?ter (Austrian Research Institute for Artificial Intelligence) Joan Serr? (Telefonica) Malcolm Slaney (Google) Emmanuel Vincent (INRIA Nancy) Gerhard Widmer (Austrian Research Institute for Artificial Intelligence) Tao Zhang (Starkey Hearing Technologies) Others to be decided -- Dr. Hendrik Purwins, Associate Professor, Dipl.-Math. Audio Analysis Lab & Sound and Music Computing Group Technical Faculty of IT and Design Aalborg University Copenhagen http://homes.create.aau.dk/hpu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From yao2107 at columbia.edu Thu Sep 28 12:01:20 2017 From: yao2107 at columbia.edu (Allison Ong) Date: Thu, 28 Sep 2017 12:01:20 -0400 Subject: Connectionists: Theoretical/Statistical Neuroscience Faculty Openings at Columbia Message-ID: Dear Colleague, Columbia has announced a search for two faculty positions in theoretical/statistical neuroscience that are described below (also attached). We would appreciate it if you could forward this information to any interested candidates. We will start to evaluate applications on December 1, 2017. Here is a link to the announcement and the site for applying: academicjobs.columbia.edu/applicants/Central?quickFind=65051 Thanks and Best Wishes, Larry Abbott and Liam Paninski *Two Junior Faculty Position in Theoretical / Statistical Neuroscience* The Department of Neuroscience, the Department of Statistics, and the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University invite applications for two tenure-track positions at the Assistant or Associate Professor level, to begin in 2018. One position will focus on theoretical neuroscience with an appointment in the Department of Neuroscience. The other position will focus on the application of statistics to neuroscience with an appointment in the Department of Statistics. Both positions will include appointments as well as office and laboratory space in the Center for Theoretical Neuroscience and the Grossman Center of the Statistics of Mind within the Mortimer B. Zuckerman Mind Brain Behavior Institute housed in the Jerome L. Greene Science Center at Columbia. The Zuckerman Institute brings together scientists from diverse backgrounds whose research focuses on brain function, wiring, and development. We are seeking dynamic scientists interested in exploiting this multidisciplinary environment by interacting with Zuckerman Institute faculty as well as with others in the Columbia neuroscience, biological sciences, physical sciences, statistics, and machine learning communities, including the Data Science Institute. Zuckerman Institute faculty will function as full members of their home departments: tenure will be granted by the home department and faculty will contribute to teaching in their home departments and the Zuckerman Institute. Candidates will be expected to show expertise and an ability to lead a research program in theoretical and/or statistical neuroscience. Applicants are expected to have a strong record of scientific achievement and to demonstrate the ability to engage in innovative research and teaching. Applicants should hold a PhD in neuroscience, statistics, or a related area. Applications should be submitted through this link: academicjobs.columbia.edu/applicants/Central?quickFind=65051 The following documents should be uploaded with your application: cover letter, CV, research plan, teaching statement, three letters of reference or a listing of at least three references that can be contacted, and the inclusion of one or two publications. Women and minorities are strongly encouraged to apply. We will start to evaluate applications on December 1, 2017. Columbia University is an Equal Opportunity/Affirmative Action employer --Race/Gender/Disability/Veteran. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Columbia Theoretical Statistical Neuroscience Jr Faculty Positions.pdf Type: application/pdf Size: 65534 bytes Desc: not available URL: From dwang at cse.ohio-state.edu Thu Sep 28 14:16:08 2017 From: dwang at cse.ohio-state.edu (WANG, DELIANG) Date: Thu, 28 Sep 2017 14:16:08 -0400 Subject: Connectionists: NEURAL NETWORKS, Oct. 2017 Message-ID: <8d86dd6c-9de8-cf0e-f505-efff5ab1d3d5@cse.ohio-state.edu> Neural Networks - Volume 94, October 2017 http://www.journals.elsevier.com/neural-networks Stochastic separation theorems A.N. Gorban, I.Y. Tyukin Efficient hardware implementation of the subthalamic nucleus?external globus pallidus oscillation system and its dynamics investigation Shuangming Yang, Xile Wei, Jiang Wang, Bin Deng, Chen Liu, Haitao Yu, Huiyan Li Maximum likelihood optimal and robust Support Vector Regression with lncosh loss function Omer Karal Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network Jianwei Zhao, Yongbiao Lv, Zhenghua Zhou, Feilong Cao Few-shot learning in deep networks through global prototyping Sebastian Blaes, Thomas Burwick F-norm distance metric based robust 2DPCA and face recognition Tao Li, Mengyuan Li, Quanxue Gao, Deyan Xie Efficient construction of sparse radial basis function neural networks using image-regularization Xusheng Qian, He Huang, Xiaoping Chen, Tingwen Huang Discriminative clustering on manifold for adaptive transductive classification Zhao Zhang, Lei Jia, Min Zhang, Bing Li, Li Zhang, Fanzhang Li Periodicity and stability for variable-time impulsive neural networks Hongfei Li, Chuandong Li, Tingwen Huang Piecewise convexity of artificial neural networks Blaine Rister, Daniel L. Rubin Global synchronization in finite time for fractional-order neural networks with discontinuous activations and time delays Xiao Peng, Huaiqin Wu, Ka Song, Jiaxin Shi Decomposition approach to the stability of recurrent neural networks with asynchronous time delays in quaternion field Dandan Zhang, Kit Ian Kou, Yang Liu, Jinde Cao Global Mittag-Leffler stability analysis of fractional-order impulsive neural networks with one-side Lipschitz condition Xinxin Zhang, Peifeng Niu, Yunpeng Ma, Yanqiao Wei, Guoqiang Li Stability and synchronization of fractional-order memristive neural networks with multiple delays Liping Chen, Jinde Cao, Ranchao Wu, J.A. Tenreiro Machado, Antonio M. Lopes, Hejun Yang Effects of additional data on Bayesian clustering Keisuke Yamazaki Limitations of shallow nets approximation Shao-Bo Lin Error bounds for approximations with deep ReLU networks Dmitry Yarotsky Bump competition and lattice solutions in two-dimensional neural fields August Romeo, Hans Super Robustness of learning algorithms using hinge loss with outlier indicators Takafumi Kanamori, Shuhei Fujiwara, Akiko Takeda Recurrent networks with soft-thresholding nonlinearities for lightweight coding MohammadMehdi Kafashan, ShiNung Ching Dynamic response and transfer function of social systems: A neuro-inspired model of collective human activity patterns Ilias N. Lymperopoulos Efficient dynamic graph construction for inductive semi-supervised learning F. Dornaika, R. Dahbi, A. Bosaghzadeh, Y. Ruichek From smart at neuralcorrelate.com Thu Sep 28 15:13:52 2017 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Thu, 28 Sep 2017 15:13:52 -0400 Subject: Connectionists: Vote for the Best Illusion of the Year! The 13th Best Illusion of the Year Contest In-Reply-To: <052101d3388d$af83f000$0e8bd000$@neuralcorrelate.com> References: <04f201d3388c$e8f39210$badab630$@neuralcorrelate.com> <052101d3388d$af83f000$0e8bd000$@neuralcorrelate.com> Message-ID: <054e01d3388d$ef3f3ec0$cdbdbc40$@neuralcorrelate.com> Worldwide voting will take place on the Best Illusion of the Year Contest website next week, from 4pm EDT October 4th Wednesday, to 4pm EDT October 5th Thursday. The winning illusions will receive a $3,000 award for 1st place, a $2,000 award for 2nd place, and a $1,000 award for 3rd place. The Best Illusion of the Year Contest is now an annual online event, in which anybody with an internet connection (that means YOU!) can vote to pick the Top 3 Winners from the Top 10 Finalists. The Top 10 finalist illusions will be publicly revealed at voting time! On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse -------------------------------------- Susana Martinez-Conde, PhD Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Empire Innovator Scholar Director, Laboratory of Integrative Neuroscience State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From weixu at cse.ohio-state.edu Thu Sep 28 15:38:20 2017 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Thu, 28 Sep 2017 19:38:20 +0000 Subject: Connectionists: NAACL-HLT 2018 Industry Track: Call for Papers Message-ID: <2D10FECD-F9FB-4432-B50E-2C812C1B36F8@osu.edu> NAACL-HLT 2018 Industry Track: Call for Papers The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2018) will be held in New Orleans, Louisiana, June 1 to June 6, 2018. NAACL-HLT 2018 invites the submission to the the Industry Track. Description of the Industry Track Language technologies and their applications are an integral and critical part of our daily lives. The development of many of these technologies trace their roots to academic and industrial research laboratories where researchers invented a plethora of algorithms, benchmarked them against shared datasets and perfected the performance of these algorithms to provide plausible solutions to real-world applications. While a controlled laboratory setting is vital for a deeper scientific understanding of the language problem and the impact of algorithmic design choices on the performance of a technology, transitioning the technology to real-world industrial strength applications raises a different, but yet challenging, set of technical issues. Such issues do not receive the deserved attention in language technology forums and are often relegated to isolated instances and vagaries of specific systems, with little effort to learn from common experiences. We invite submissions describing innovations and implementations in all areas of speech and natural language processing technologies and systems that are relevant to industrial applications. The primary focus of this track is on papers that advance the understanding of, and demonstrate the effective handling of, practical issues related to the deployment of language processing technologies in real-world systems. This includes novel algorithms that address challenges of scalable and practical language processing systems, methodologies and experiences in adopting and adapting research advances in industrial applications, innovative industrial-scale open-source software and its impact on practical applications, and challenges of technology-driven evaluation metrics as they relate to application performance. This track provides an opportunity to highlight the key learnings and new research challenges posed by real world implementations such as: Engineering challenges encountered while implementing at scale Design of application-relevant training/evaluation datasets Methods and processes to upkeep system performance Methods and processes needed to leverage production logs to maintain and improve the performance of component technologies Design of offline and online evaluation methodologies Novel previously unsolved problems Novel practical solutions to known problems Experience papers describing learnings and best practices In addition, opinion/vision papers and papers highlighting interesting negative results related to real-world applications are also welcome. Submissions must clearly identify one of the following three areas they fall into: Deployed: Must describe deployment of a system that solves a non-trivial real-world problem. The focus should be on describing the problem, its significance, decisions and tradeoffs made when making design choices for the solution, deployment challenges, and lessons learned. Discovery: Must include results obtained from NLP applications in real world scenarios that result in insights that are interesting and actionable. These discoveries should reveal promising directions in their application areas, leading to further system or societal enhancements. For example, an actionable discovery from an analysis of call center transcripts may reveal that certain language choices negatively impact customer experience, leading to better training of service representatives and improved customer experience. Emerging: Submissions do not have to describe deployed systems but must have clear applications to industry to distinguish them from NAACL research papers. They may also provide insight into issues and factors that affect the successful use and deployment of natural language processing. Papers that describe enabling infrastructure for large-scale deployment of natural language processing techniques also fall in this category. Evaluation and decision criteria Submissions will be reviewed in a double-blind manner and assessed based on their novelty, technical quality, potential impact, and clarity. Submissions in the industry track should emphasize real-world implementations of natural language processing systems or provide insights based on real-world datasets with obvious industry impact. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Paper Submissions Note: the ACL is creating expanded publication guidelines which will be made available via the NAACL-HLT 2018 website and submission system when they are available. The ACL publication guidelines will supersede the guidelines below in case of conflict. Authors are invited to submit original, full-length (6 page) industry papers that are not previously published, accepted to be published, or under consideration for publication in any other forum. Manuscripts should be submitted electronically, in PDF format and formatted using the official NAACL-HLT 2018 style templates: LaTeX Microsoft Word Papers cannot exceed 6 pages in length (excluding references) and should be submitted through the NAACL-HLT 2018 industry track online submission system. Submissions of identical or closely related work to multiple NAACL-HLT tracks will be treated as duplicate submissions. Presentation Requirement All accepted papers must be presented at the conference to appear in the proceedings. Authors of papers accepted for presentation at NAACL-HLT 2018 Industry Track, which will run in parallel with the Research Track, must notify the track chairs by the camera-ready deadline as to whether the paper will be presented. Previous presentations of the work (e.g. preprints on arXiv.org) should be indicated in a footnote that should be excluded from the review submission, but included in the final version of papers appearing in the NAACL-HLT 2018 proceedings. At least one author of each accepted paper must register for NAACL-HLT 2018 by the early registration deadline. Contact Information Track chairs: * Srinivas Bangalore (Interactions Labs) * Jennifer Chu-Carroll (Elemental Cognition) * Yunyao Li (IBM Research - Almaden) Email: naacl2018-industrial-track at googlegroups.com General chair: Marilyn Walker (University of California Santa Cruz) Email: naacl2018 at googlegroups.com Important Dates Paper Submission Deadline Feb 20, 2018 (anywhere in the world) Acceptance Notification March 25, 2018 (anywhere in the world) Final Version Submission Deadline April 15, 2018 (anywhere in the world) -------------- next part -------------- An HTML attachment was scrubbed... URL: From magdalena.seebauer at inf.ethz.ch Fri Sep 29 04:35:55 2017 From: magdalena.seebauer at inf.ethz.ch (Seebauer Magdalena) Date: Fri, 29 Sep 2017 08:35:55 +0000 Subject: Connectionists: PhD Fellowships at the Max Planck ETH Center for Learning Systems Message-ID: <66F3ED1B-3646-4E4A-8711-E6AC20C8172D@contoso.com> The Max Planck ETH Center for Learning Systems is a joint research center of ETH Zurich and the Max Planck Society. The Center?s mission is to pursue research in the design and analysis of learning systems, synthetic or natural. This initiative brings together more than 40 professors and senior researchers in the fields of machine learning, perception, robotics on large and small scales, as well as neuroscience. We offer PhD Fellowships at the Max Planck ETH Center for Learning Systems The Center offers a unique fellowship program, where PhD students are co-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems in Tu?bingen and Stuttgart. PhD students are expected to take advantage of the opportunities offered by both organizations and to actively seek cross-group collaborations. The Center also offers a wide range of activities like retreats, workshops, and summer schools, as well as the possibility to engage in organizing such events. This is an exciting new program and admission is highly competitive. Each PhD fellow will have a primary location (chosen based on interests and match) and spends one year at the other location as well. Fellowships will be remunerated through employment contracts, subjected to the rules of the Max-Planck-Society and ETH Zurich, respectively. All PhD fellows will register as graduate students at ETH Zurich and - upon successful completion of their PhD project - be granted a doctoral degree by ETH Zurich. Details of this process are governed by ETH regulations and committees. We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering, Materials Science, Neuroscience and related fields, and a keen interest in doing basic research in areas like: Machine Learning and Empirical Inference of Complex Systems, Machine Intelligence, including Machine Vision and Natural Language Understanding, Perception-Action-Cycle for Autonomous Systems, Robust Model-Based Control for Intelligent Behavior, Robust Perception in Complex Environments, Design, Fabrication, and Control of Synthetic, Bio-Inspired, and Bio-Hybrid Micro/Nanoscale Robotic Systems, Haptic Intelligence, Data-Driven Computational Biology, or Neurotechnology and Emergent Intelligence in Nervous Systems. We seek to increase the number of women in areas where they are underrepresented and therefore explicitly encourage women to apply. Furthermore, we are committed to increasing the number of individuals with disabilities in its workforce and therefore encourage applications from such qualified individuals. We are looking forward to receiving your online application consisting of a complete CV (incl. a list of publications, talks and awards), a short mission statement (max. 1-2 pages) outlining your research interests, and scanned transcripts of certificates (bachelor?s degree, master?s degree, other degrees). Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Please arrange for 2-3 reference letters to be sent directly per email to Dr. Magdalena Seebauer within the application deadline. The deadline for applications is November 7, 2017. The selection interviews will take place on January 18 and January 19, 2018 at the Max Planck Campus in T?bingen, Germany. For further information please contact Dr. Magdalena Seebauer at magdalena.seebauer at inf.ethz.ch (no application documents) or visit our website http://learning-systems.org/. Apply online here. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PhD fellowships[5].pdf Type: application/pdf Size: 86081 bytes Desc: PhD fellowships[5].pdf URL: From antonino.staiano at uniparthenope.it Sat Sep 30 03:40:02 2017 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Sat, 30 Sep 2017 09:40:02 +0200 Subject: Connectionists: Call for papers Special Issue on Statistical and Machine Learning Modeling in Computational Epigenetics Message-ID: Call for papers Special Issue on Statistical and Machine Learning Modeling in Computational Epigenetics at BioMed Research International The call is available at https://www.hindawi.com/journals/bmri/si/873738/cfp/ Special Issue on Statistical and Machine Learning Modeling in Computational Epigenetics Epigenetics has recently emerged as one of the hottest fields in life sciences for studying heritable change in phenotype, gene function, or gene expression that are not directly encoded in the DNA itself. Up-to-date studies have shown that epigenetic modulations are fundamental in many developmental processes, from tissue and organ formation to allele-specific gene expression. When these normal epigenetic patterns modify, pattern of gene expression can be deregulated, and it has been proven that such mechanisms are central in several disorders and diseases, among which are psychiatric disorders, obesity, and etiology of a number of diseases such as cancer, schizophrenia, and Alzheimer, just to name a few. Today, thanks also to several large human epigenome projects, scientists have a better understanding of the basic principles of epigenetic mechanisms as well as their relevance to health disorders and disease. At the heart of this fascinating research field are computational tools that, by analyzing complex genomic information, play an essential role in discovering evidences to define new assessable hypotheses. In particular, the literature at a glance shows the effectiveness of a combination of statistical and machine learning techniques in several epigenetic analyses. This special issue aims to host original papers and reviews on recent research advances and the state-of-the-art methods in the fields of statistical and machine learning methodologies and algorithm design for the study of epigenetic mechanisms. Especially welcome are also software systems with a special emphasis on tools developed with the help of big data distributed processing framework like Hadoop and Spark to properly manage the huge amount of data coming from epigenome-scale experiments. Potential topics include but are not limited to the following:Machine learning Statistical learning theory Fuzzy logic and systems Neuro-fuzzy systems Granular computing Data mining Probabilistic and statistical modelling Algorithms designed for epigenomic big data High-throughput data in the broad context of epigenomics Analysis, modeling, and prediction of DNA methylation patterns Analysis, modeling, and prediction of histone modifications in DNA sequences Identification of abnormal DNA methylation within CpG islands in different diseases Analysis of epigenetic marks in stem cells Analysis of miRNA changes in cancer and other diseases Simultaneous analysis of methylome and transcriptome Analysis of reciprocal regulation of noncoding RNA and methylation Study of the epigenetic role in metabolomics Analysis of microbiome role in epigenetic regulation of gene expression Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/bmri/computational.biology/acim/ Submission deadline: Friday, 2 March 2018 Publication date: July 2018 Antonino Staiano Department of Science and Technology University of Naples Parthenope, Naples, Italy antonino.staiano at uniparthenope.it ************************************************************************************************************ Antonino Staiano, PhD Assistant Professor Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From nergis at neuro.uni-bremen.de Fri Sep 29 14:18:17 2017 From: nergis at neuro.uni-bremen.de (Nergis Tomen) Date: Fri, 29 Sep 2017 20:18:17 +0200 Subject: Connectionists: Quantification of the Function of Criticality: Call for Contributions Message-ID: Dear Colleagues, We are calling for abstracts for contributions towards a publication on *The Functional Role of Critical Dynamics* *in Neural Systems*. The collection will be published by Springer and will be free of charge for the authors. The main aim of this collection will be to bring together research and ideas linking together criticality in the cortex, dynamical and emergent network states and the putative role such states may serve in the way of function and computational advantages. The intended format of the book is a collection of short and concise chapters focusing around this central theme, in order to allow for many different perspectives to be represented. If you would like take part in this publication, please send an extended abstract summarizing your planned contribution, following the guidelines below, to A. Janssen (*ajanssen**@neuro.uni-bremen.de* ) who will be coordinating the communications by *October* *25th*. For details of the planned contents and structure of the full contributions, as well as our expected timeline, please see below. Full papers will be expected by the end of this year. Best wishes, Udo Ernst & Nergis Tomen & Michael Herrmann *Guidelines for your contribution * We are aiming for a publication that will give a broad overview of the state of research linking neuronal avalanches and self-organized criticality (SOC) to neural function and information processing (for the related concepts please see e.g. [Bak, Tang and Wiesenfeld, 1987] and [Beggs and Plenz, 2003]). Due to the computational advantages of simple systems operating close to a phase transition (e.g. [Langton, 1990]), there has been a growing interest in the neuroscience community in the recent years to tackle the question ?Can critical dynamics be useful for the brain??. And this was the central theme of the *Excellence Workshop "Dynamical network states, criticality and cortical function"* that took place on 25-28 March 2017 in Hanse-Wissenschaftskolleg, Delmenhorst, Germany ( *http://www.h-w-k.de/index.php?id=2240* ). In light of the positive feedback and interest we received from the community, we are now aiming to bring together different ideas and approaches related to critical dynamics and its potential functional role in cortical information processing, and we are looking forward to your contributions. We will have a two-stage submission process for the authors. The first stage is to submit an extended abstract that can be of any format, but should include a title and contact information of the authors and should begin with a very brief summary of the main message of the contribution. As a guideline it is suggested that the length of the extended abstract is 1 to 4 pages and that it contains 1 to 4 figures. Please submit your abstract to *ajanssen**@neuro.uni-bremen.de* by *October 25th*. Full papers will be requested before the end of this year. The final papers are expected to include an easy-to-follow introduction, one or more well-evidenced claims and a substantial discussion section. The full papers are limited in size to 15-20 pages each (each page about 450 words), including figures and references. There will be LaTeX and MS Word templates provided by Springer for the full contributions. Each contribution will be peer-reviewed by at least 2 colleagues before being published. Each author of a contribution is also expected to act as a reviewer for 2-3 other contributions. We plan to include reviewers from outside the field to provide 'critical' input. Realistically, we estimate that the review process will start in in winter 2017 and end in spring 2018. We expect the submissions to present original research by the authors.This can include new results or review of past research by the authors (for review papers, it is allowed to include research by other persons where suitable, as long as it does not constitute a major part of the contribution). We believe it is important for contributions to put forward a vision or perspective on criticality research. It is important to make connections to the functionality of the concepts described in your contribution (e.g. how do the properties observed in your model/experiments relate to information transfer/processing, behavioural performance, computation, communication and configuration, etc.). Where applicable, it is allowed and encouraged to talk about predictions and theories about how the contents of a contribution may relate to active computation in the cortex, what practical advantages and biological mechanisms they may be linked to as well as what direction future research should take to answer such questions. We encourage the authors to actively try to draw connections between their own research, research of other scientists in their field as well as outside of their field (e.g. discussing ties with experimental results in a theoretical contribution and vice versa). Thank you for considering these guidelines. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ajyu at ucsd.edu Fri Sep 29 20:22:24 2017 From: ajyu at ucsd.edu (Angela Yu) Date: Fri, 29 Sep 2017 17:22:24 -0700 Subject: Connectionists: Call for contribution: NIPS 2017 Workshop on Cognitively Informed Artificial Intelligence Message-ID: <6F4AB2F3-0DD8-4CC3-AD2E-F4F29B54B1C2@ucsd.edu> NIPS 2017 Workshop: Cognitively Informed Artificial Intelligence December 9, 2017 in Long Beach, CA Workshop website: https://sites.google.com/view/ciai2017/home Conference website: https://nips.cc/ Important dates October 20, 2017: Deadline for contributed paper submissions November 3, 2017: Notification of contributed paper acceptances November 10, 2017: Final program announced December 9, 2017: Workshop (Long Beach, CA) Overview The goal of this workshop is to bring together cognitive scientists, neuroscientists, and AI researchers to discuss opportunities for improving machine learning, by leveraging our scientific understanding of human perception and cognition. There is a history of making these connections: artificial neural networks were originally motivated by the massively parallel, deep architecture of the brain; considerations of biological plausibility have driven the development of learning procedures; and architectures for computer vision draw parallels to the connectivity and physiology of mammalian visual cortex. However, beyond these celebrated examples, cognitive science and neuroscience has fallen short of its potential to influence the next generation of AI systems. Areas such as memory, attention, and development have rich theoretical and experimental histories, yet these concepts, as applied to AI systems so far, only bear a superficial resemblance to their biological counterparts. The premise of this workshop is that there are valuable data and models from cognitive science that can inform the development of intelligent adaptive machines, and can endow learning architectures with the strength and flexibility of the human cognitive architecture. The structures and mechanisms of the mind and brain can provide the sort of strong inductive bias needed for machine-learning systems to attain human-like performance. We conjecture that this inductive bias will become more important as researchers move from domain-specific tasks such as object and speech recognition toward tackling general intelligence and the human-like ability to dynamically reconfigure cognition in service of changing goals. For ML researchers, the workshop will provide access to a wealth of data and concepts situated in the context of contemporary ML. For cognitive scientists, the workshop will suggest research questions that are of critical interest to ML researchers. The workshop will focus on three interconnected topics of particular relevance to ML: (1) Learning and development. Cognitive capabilities expressed early in a child?s development are likely to be crucial for bootstrapping adult learning and intelligence. Intuitive physics and intuitive psychology allow the developing organism to build an understanding of the world and of other agents. Additionally, children and adults often demonstrate ?learning-to-learn,? where previous concepts and skills form a compositional basis for learning new concepts and skills. (2) Memory. Human memory operates on multiple time scales, from memories that literally persist for the blink of an eye to those that persist for a lifetime. These different forms of memory serve different computational purposes. Although forgetting is typically thought of as a disadvantage, the ability to selectively forget/override irrelevant knowledge in nonstationary environments is highly desirable. (3) Attention and Decision Making. These refer to relatively high-level cognitive functions that allow task demands to purposefully control an agent?s external environment and sensory data stream, dynamically reconfigure internal representation and architecture, and devise action plans that strategically trade off multiple, oft-conflicting behavioral objectives. Our long-term goals are: to incorporate insights from human cognition to suggest novel and improved AI architectures; to facilitate the development of ML methods that can better predict human behavior; and to support the development of a field of ?cognitive computing? that is more than a marketing slogan?a field that improves on both natural and artificial cognition by synergistically advancing each and integrating their strengths in complementary manners. Organizers Mike Mozer , U. Colorado Boulder Brenden Lake , NYU Angela Yu , UCSD Invited speakers (confirmed) Peter Battaglia , Deep Mind Yoshua Bengio, U. Montreal Alison Gopnik , UC Berkeley Tom Griffiths , UC Berkeley Marc Howard , Boston University Robert Jacobs , U. Rochester Gary Marcus , NYU Aude Oliva , MIT ... more to come Contributing to the workshop The goal of this workshop is to bring together cognitive scientists, neuroscientists, and AI researchers to discuss opportunities for improving machine learning, by leveraging our scientific understanding of human perception and cognition. We have reserved time for contributed papers and posters. We welcome submissions that present at least preliminary results. We are specifically aiming to identify work showing that cognitively-informed models and learning systems outperform standard AI/ML approaches. We will select based on (1) the depth to which cognitive principles, theories, and models inform the system, and (2) the performance advantage of the cognitively informed system. We encourage submissions making contact with any area of cognition?attention, perception, development, memory, learning from experience, judgment and decision making?which elucidate the computational principles or mechanisms that allow people to outperform machines, and which suggest novel approaches to solving AI challenges such as: flexible and generalizable learning, task-dependent information acquisition and processing, avoidance of catastrophic forgetting, and operating subject to energy (computational efficiency) constraints. We prefer brief submissions of up to four pages, excluding references, formatted in NIPS style. No need to anonymize submissions. If you have a longer manuscript already submitted and under review, you may submit the manuscript instead. Accepted submissions will be posted on the workshop page if the authors wish, but otherwise the submissions will be used only for reviewing contributions. Submit your contribution (in PDF format) to cognitivelyinformedAI at gmail.com . Feel free to contact the organizers if you have questions about the relevance of your research for the workshop. NOTE: The NIPS 2017 conference is currently sold out including the main conference and workshops (waitlist available). A limited number of workshop registrations are reserved for workshop speakers but insufficient to cover all interested participants. We apologize for this unforeseen complication. ------------------------------------ Angela Yu Associate Professor Cognitive Science, UCSD 858-822-3317 www.cogsci.ucsd.edu/~ajyu ------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From annalisa.gentile at ibm.com Sat Sep 30 01:58:57 2017 From: annalisa.gentile at ibm.com (annalisa gentile) Date: Fri, 29 Sep 2017 22:58:57 -0700 Subject: Connectionists: [CfP] ISWC2017 - Discounted registration until October 5th Message-ID: 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 21-25, 2017 ******************************************* *** Discounted registration available until October 5, 2017 *** Full program available online: https://iswc2017.semanticweb.org/program ******************************************* Website: http://iswc2017.semanticweb.org Facebook: https://www.facebook.com/groups/113652365383847 Twitter: @iswc2017 (https://twitter.com/ISWC2017) In this announcement: 1. Program 2. Keynote Speakers 3. Job Fair 4. Call for Business Ideas and Startup pitches 5. ISWC Jam Session 6. Registration 7. Important dates 1. Program ========================================== The full program of ISWC2017 is now available online. Check all details of workshops, tutorials, main conference and social events. Don?t forget also this year the Job Fair and the Business Treff. Detailed info: https://iswc2017.semanticweb.org/program/ 2. Keynote Speakers ========================================== The three keynote Speakers of ISWC2017 are: - Deborah L. McGuinness, Senior Chair of Tetherless World Constellation, Professor of Computer, Cognitive, and Web Sciences at Rensselaer Polytechnic Institute Deborah?s talk will give an historical perspective on ontologies and their usage, and discuss a model of building and maintaining large collaborative, interdisciplinary ontologies. - Nada Lavra?, Head of Department of Knowledge Technologies at Jo?ef Stefan Institute, Vice Dean at Jo?ef Stefan International Postgraduate School and Professor of Computer Science at University of Nova Gorica. Nada will be talking about the recent advances in Semantic Data Mining. - Jamie Taylor, Manager of the Knowledge Graph Schema Team at Google. Jamie will be talking about knowledge graphs beyond catalogs and acting as semantic APIs for the real world. Detailed info: https://iswc2017.semanticweb.org/program/keynotes/ 3. Job Fair ========================================== ISWC 2017 will host the first edition of the Job Fair! We hope that this initiative will help organisations in both industry and academia to find great candidates and to present new career opportunities to conference attendees. When registering to the conference ( https://iswc2017.semanticweb.org/registration-page/) you can tick the option to register your organisation for the job fair. This will provide your organisation with: - A table (with a sign showing your organisation name and three seats) close to the permanently open coffee corner (in the seated lunch/coffee area) for a 1.5 hour slot in parallel to one of the conference sessions - A special identification sticker on the badge of each member in charge of recruiting for your organisation. That will allow conference attendees to approach you and your colleagues at any time during the days of the conference to learn about the job opportunities offered by your organisation. This option is only additional 50 euros on the registration fee. Organisations that have purchased a regular sponsorship package (which includes other additional benefits!) are **exempt from this extra fee**. If you are a student, post-doc or simply someone looking for a career opportunity you can get a special identification sticker on your badge for free. This will allow recruiters to approach you at any time during the conference days and explain you the opportunities that they offer. Detailed info: https://iswc2017.semanticweb.org/program/job-fair/ 4. Call for Business Ideas and Startup pitches ========================================== If you attend ISWC 2017 and have an innovative ?semantic? business idea, don?t miss out on the unique opportunity to pitch it at the business event ?Semantics in the Field?. This event will showcase innovative applications and solutions and bring together semantic web researchers and the business community - from local entrepreneurs to large multi-national enterprises. You will get insight into the work of successful companies in the field and be able to pitch your ideas to a diverse and highly competent target audience. The event will provide ample opportunity for networking. Make sure to submit your pitch deck until September 30 to linkedstartup at googlegroups.com (see the CfP for details)! Information on the event: https://wirtschaftsagentur.at/veranstaltungen/business-treff-semantics-in-the-field-524/ Call for pitches: https://iswc2017.semanticweb.org/call-for-startup-pitches/ 5. ISWC Jam Session ========================================== The ISWC Jam Session officially returns! The Semantic Web community is crowded with music lovers and several of our fine researchers are also excellent music players! After the great success of the Sydney-Jam-Session at ISWC2013 we launch the Vienna-Jam-Session at ISWC2017, sponsored by data.world! (https://data.world). This is a call for musicians in the Semantic Web community that want to share their musical skills and contribute to a very fun night after the ISWC 2017 poster and demo session. We will try and cater for all music tastes: blues, funk, soul jazz, rock, latin? feel free to suggest anything interesting! If you want to get involved (sharing tunes, ideas, music sheets) request access to the shared drive https://drive.google.com/open?id=0B29uZ3ZR9sx4OGtqdlI2NHlJeTQ and join the facebook group https://www.facebook.com/groups/420886798297740 , where we can all contribute with links, videos, suggestions, etc. There will be time to rehearse before the jam. We have a studio reserved at "Studio 5" (http://rehearsal.at) on 21st October between 19:00-22:00, with standard equipment. At the jam venue there will equally be mics, guitar- and bass-amps,, a drumset, and a keyboard. Jam Session Chairs * Aldo Gangemi, Universit? Paris 13, Paris, France and ISTC-CNR, Rome, Italy * Anna Lisa Gentile, IBM Research Almaden, US 6. Registration ========================================== Discounted registration has been extended to ** October 5th 2017** You can find all details and register at: https://iswc2017.semanticweb.org/attending/registration/ 7. Important Dates ========================================== Discounted Registration until October 8, 2017 Workshops & Tutorials October 21 & 22, 2017 Conference October 23, 24 & 25, 2017 We thank our platinum sponsor IBM Research and Elsevier and our gold sponsors Big Data Europe, data.world, metaphacts, Ontotext, Oracle, Semantic Web Company, Siemens,Thomson Reuters, Videolectures, Ontoforce and Fujitsu for their support. To learn more about ISWC 2017 sponsorship opportunities, please visit https://iswc2017.semanticweb.org/sponsorship/ The ISWC Organising Committee ( http://iswc2017.semanticweb.org/organization/) -------------- next part -------------- An HTML attachment was scrubbed... URL: From srivas at gmail.com Sat Sep 30 15:59:50 2017 From: srivas at gmail.com (Srivas Chennu) Date: Sat, 30 Sep 2017 20:59:50 +0100 Subject: Connectionists: Fwd: Postdoc in computational neuroscience of consciousness In-Reply-To: References: Message-ID: In the School of Computing at the University of Kent (UK), we are seeking to recruit a Research Associate to work on the computational neuroscience of consciousness. This post is part of the EPSRC project "A Computational Prototype for Electroencephalographic Brain Connectomics" awarded to Dr. Srivas Chennu. This exciting project sits at the interface of signal processing, machine learning and neuroscience. More information is available at the link below: https://www.cs.kent.ac.uk/people/staff/sc785/mohawk.html This role will involve: ? Develop a computational prototype for electroencephalographic brain connectomics for discriminating states of awareness and use real datasets and develop simulations to test and validate the prototype. ? Working with the PI, interact with collaborators at partner sites to explore deployment of the prototype at the bedside of patients with disorders of consciousness ? Communicate and disseminate project outcomes in academic publications, scientific conferences, technical reports, web-based platforms and social media You will play a key role in this project, focusing on the development of the software prototype. In addition to working closely with Dr. Chennu, you will interact regularly with clinicians and neuroscientists at the Universities of Cambridge and Li?ge. Both partners have made available a large dataset of EEG acquired from patients and controls, which will be used to test and validate the prototype to be developed here. You will be supported in your role by Dr. Chennu, in addition to PhD students in the research group, and will be able to access the broad-ranging expertise available across other members of the Data Science group and the School of Computing. This is a fixed term post (to start in Jan 2018, date negotiable) and will provide the successful candidate with a rich collaborative environment: it is positioned within the recently formed Data Science group at the University of Kent, and will involve close collaboration with external partners at the Universities of Cambridge and Li?ge (Belgium). To succeed in this role you will: ? A PhD in Computer Science/Neuroscience, or be near completion ? Experience of EEG/MEG Signal Processing, Machine Learning in Neuroscience and MATLAB and/or Python in Neuroscience ? Experience of working in a research environment and the ability to liaise with other external partners *The School of Computing* at Kent is a welcoming and supportive environment that has recently been recognised with a Bronze Athena SWAN award. We are a well-balanced, inclusive and diverse community that aims to further enhance our achievements and reputation in teaching, research and innovation. Start date for applications: 29 September 2017 Closing date for applications: 05 November 2017 Interviews are to be held: 29 November 2017 Please see the link below to view the full job description and also to apply for this post. If you require further information about this post/project please contact the PI, Dr. Srivas Chennu at sc785 at kent.ac.uk. For any questions regarding the application process please contact The Resourcing Team on jobs at kent.ac.uk quoting ref number: STM0847 https://www11.i-grasp.com/fe/tpl_kent01.asp?s=4A515F4E5A565B 1A&jobid=41306,5425238748&key=50937013&c=223465364822& pagestamp=sewzjjuhsdmqkvijvz -------------- next part -------------- An HTML attachment was scrubbed... URL: From yang at maebashi-it.org Fri Sep 29 11:54:47 2017 From: yang at maebashi-it.org (Yang) Date: Sat, 30 Sep 2017 00:54:47 +0900 Subject: Connectionists: [Final Call for Abstracts] Brain Informatics 2017 Message-ID: [Apologies if you receive this more than once] CALL FOR ABSTRACTS The 2017 International Conference on Brain Informatics (BI'17) "Investigating the Brain and Mind from Informatics Perspective" November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------- DEADLINE EXTENDED: September 30, 2017 One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B --------------------------------------- *** INVITED SPEECHES *** 1. "Multimodal Modelling of Network Propagation of Neuropathology in Dementia" Alan Evans (McGill University, Canada) 2. "Neural Correlates of Word, Sentence and Story Comprehension" Tom Mitchell (Carnegie Mellon University, US) 3. "The Cognitive Neural Basis of Object Knowledge" Yanchao Bi (Beijing Normal University, China) 4. "Harnessing Large-Scale Data-Sharing to Drive Discovery and Bench-to-Bedside Translation in Traumatic Brain Injury and Spinal Cord Injury" Adam Ferguson (University of California San Francisco, US) 5. "Computational Psychophysiology Based Research Methodology for Mental Health" Bin Hu (Lanzhou University, China) 6. "Multiscale Gene Expression Signatures in the Mammalian Brain in Health and Disease" Michael Hawrylycz (Allen Institute for Brain Science, US) 7. "Machine Learning in Medical Imaging Analysis" Dinggang Shen (University of North Carolina at Chapel Hill, US) *** WORKSHOPS AND SPECIAL SESSIONS *** ++++++++++++++++++++++++++++++++++++++++++++ Abstract submission (TYPE II) is still open! ++++++++++++++++++++++++++++++++++++++++++++ To submit abstracts to workshops/special sessions, please visit http://bii.ia.ac.cn/bi-2017/workshops.htm # Workshop on Brain and Artificial Intelligence (BAI 2017) Organizers: Yi Zeng, Chinese Academy of Sciences, China Shuliang Wang, Beijing Institute of Technology, China # Workshop on Knowledge Representation: Brain and Machine (KRBM 2017) Organizers: Yanchao Bi, Beijing Normal University, China Yi Zeng, Chinese Academy of Sciences, China # Workshop on Affective, Psychological and Physiological Computing (APPC 2017) Organizers: Bin Hu, Lanzhou University, China Zhijun Yao, Lanzhou University, China Mi Li, Beijing University of Technology, China # Workshop on Big Data and Visualization for Brainsmatics (BDVB 2017) Organizers: Qingming Luo, Huazhong University of Science and Technology, China Anan LI, Huazhong University of Science and Technology, China # Workshop on Brain Big Data Based Wisdom Service (BBDBWS 2017) Organizer: Jiajin Huang, Beijing University of Technology, China # Workshop on Semantic Technology for eHealth (STeH 2017) Organizers: Jiao Li, Chinese Academy of Medical Sciences, China Zhisheng Huang, Vrije University Amsterdam, The Netherlands # Workshop on Big Data Neuroimaging Analytics for Brain and Mental Health (BDNABMH 2017) Organizer: Shouyi Wang, University of Texas at Arlington, USA # Workshop on Novel Methods of the Brain Imaging in the Clinical and Preclinical Neuroscience (NMBICPN 2017) Organizers: Vassiliy Tsytsarev, University of Maryland School of Medicine, USA Vicky Yamamoto, Keck School of Medicine of USC, USA Yan Li, University of Southern Queensland, Australia # The 1st International Workshop on Deep Learning in Brain MRI and Pathology Images (DLBMPI 2017) Organizers: Yan Xu, School of Biological Science and Medical Engineering, BUAA Eric Chang, Microsoft Research Asia # Workshop on Mesoscopic Brainformatics (MBAI 2017) Organizers: Dezhong Yao, University of Electronic Science and Technology of China, China Pedro A. Valdes-Sosa, University of Electronic Science and Technology of China, China Yong He, Beijing Normal University, China Li Dong, University of Electronic Science and Technology of China, China # Special Session on Brain Informatics in Neurogenetics (BIN 2017) Organizers: Hong Liang, Harbin Engineering University, China Lei Du, Northwestern Polytechnical University, China Li Shen, Indiana University School of Medicine, USA # Special Session on BigNeuron Project (BP 2017) Organizers: Zhi Zhou, Allen Institute for Brain Sciences, USA Min Liu, Hunan University, China # Wiley Author Workshop Tile: How to get published: Open Science & Transparency Organizer: Maryann Martone, University of California, San Diego, USA The Editor-in-Chief of Brain & Behavior ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES : =========================== September 30, 2017: Submission deadline for abstracts (TYPE-II) (for both main conference and workshops/special sessions) November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ABSTRACT (TYPE-II) SUBMISSIONS : ================================= (Submission Deadline: September 30, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. ----------------------------------------------- One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B ----------------------------------------------- *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted abstracts from the conference will be expanded and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang at ia.ac.cn shouyiw at uta.edu yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From hbilen at ed.ac.uk Fri Sep 29 11:22:20 2017 From: hbilen at ed.ac.uk (Hakan Bilen) Date: Fri, 29 Sep 2017 16:22:20 +0100 Subject: Connectionists: PhD Studentship at University of Edinburgh in Computer Vision and Deep Learning Message-ID: <80067351-a9aa-84fa-2df4-880e7440b393@ed.ac.uk> *Dear all,* ** * We are seeking an exceptional UK/EU PhD candidate to study in the prestigious in the Institute of Perception, Action and Behaviour (IPAB) at the University of Edinburgh. The successful candidate will have an opportunity to work on cutting-edge computer vision and machine learning research projects using Deep Learning. The goal of this project is to develop the next generation of deep learning systems for computer vision with a focus on multiple-task learning from videos. The successful candidate will have the opportunity to collaborate with leading computer vision and machine learning groups in the UK and Europe. PhD candidate requirements We are looking for creative and motivated applicants with, or expected to obtain soon, a 1st Class Honours degree in a relevant discipline, including Informatics, Computer Science, Electrical Engineering but not limited to. Basic programming skills (python, c++, MATLAB) are required. Previous experience on machine learning and computer vision, for example object and action classification, is appreciated but not a requirement. Funding This is a University of Edinburgh funded award and will provide an annual stipend for three years of ?14,553 per year (subject to confirmation), plus University fees for UK/EU students. Any eligible non-EU candidates must fund the remainder of the overseas tuition fee. Application If you are interested in the position, please provide a CV, a personal statement detailing your research interests and reasons for applying (max 1 page), marks for your degree(s) and an email address for one academic reference. The application deadline is November 17, 2017. All documents should be in electronic format and sent via e-mail to Dr Hakan Bilen as soon as possible (Email: hbilen at ed.ac.uk ). ** ** Hakan Bilen * -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: not available URL: