From gemmar at mit.edu Mon Oct 2 00:12:58 2017 From: gemmar at mit.edu (Gemma Roig) Date: Mon, 2 Oct 2017 04:12:58 +0000 Subject: Connectionists: PhD student - Singapore University of Technology and Design Message-ID: <9A49AAF7-4FA2-4FC6-BF8B-9CDAFC22D56B@mit.edu> Hello, We are seeking for PhD students to work on research projects related to computational models of the human vision system, deep learning and their applications to computer vision and artificial intelligence. The PhD position is fully funded by A*STAR SINGA fellowship. The expected duration of the PhD program is 4 years. Title: PhD student Company/Institution: Singapore University of Technology and Design Location: Singapore Department: Information Systems Technology and Design (ISTD) Requirements: strong knowledge in machine learning (deep learning) excellent programming skills strong interest on human vision knowledge of high performance distributed computing Application Instructions: Contact Dr. Gemma Roig, gemmar at mit dot edu. Include CV, one selected publication, grades and email address of at least one reference. From tomas.hromadka at gmail.com Sun Oct 1 15:12:39 2017 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Sun, 1 Oct 2017 21:12:39 +0200 Subject: Connectionists: COSYNE 2018: Call for workshop proposals and Meeting announcement Message-ID: <2d5b0bb7-65aa-84c6-7b64-7b5159e9918f@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 ==================================================== IMPORTANT DATES Abstract submission opens: 10 October 2017 Abstract submission deadline: 20 November 2017 NEW Workshop pre-proposal deadline: 14 October 2017 NEW Workshop proposal deadline: 10 November 2017 ---------------------------------------------------- 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. 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 encouraged to submit a pre-proposal by *14 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: 14 October 2017 Deadline for proposals: 10 November 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 jkrichma at uci.edu Sun Oct 1 19:55:00 2017 From: jkrichma at uci.edu (Jeff Krichmar) Date: Sun, 1 Oct 2017 16:55:00 -0700 Subject: Connectionists: APA Technology, Mind, & Society Conference - Submissions due Oct 20 In-Reply-To: References: Message-ID: Dear Colleagues, This upcoming APA conference on Technology, Mind, & Society may be of interest to many of you. Keynote speakers include Cynthia Breazeal (MIT, Jibo Inc.), Justine Cassell (CMU), Eric Horvitz (Microsoft Research Labs), and Alex "Sandy? Pentland (MIT). Paper submissions are due October 20th. See:http://pages.apa.org/tms/ Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma The American Psychological Association will hold an interdisciplinary conference on Technology, Mind, and Society in Washington, D.C., on April 5-7, 2018. Scientists, practitioners, policymakers, and students from around the world are invited to participate in the event. The conference will provide a venue for reporting and assessing current efforts to understand and shape the interactions of human beings and technology, for identifying priorities for future work, and for promoting exchange and collaboration among participants. The conference will feature four keynote speakers: Cynthia Breazeal (MIT), Justine Cassell (Carnegie Mellon), Eric Horvitz (Microsoft Research), and Sandy Pentland (MIT). APA invites you and your colleagues and students to submit papers, symposia, and posters for this conference, which will be organized around the following broad themes: ? Basic research: How humans understand and use technology, impacts of technology on human experience and behavior, human-technology interactions as mutually adaptive systems, role of technology in advancing other areas of scientific research, and related topics. ? Foundations of technology design: Development of technologies informed by psychological, behavioral, and social science research. ? Applications: Development, use, and impact of specific technologies in domains such as aging, education, mental and physical health, recreation, and the workplace. ? Broader implications: Ethical and policy questions concerning the opportunities and challenges arising from human-technology interactions. The deadline for submissions is October 20, 2017. The conference is open to researchers, professionals, and students in all relevant areas, including psychology and other behavioral and social sciences, neuroscience, computer science, engineering, design, health research, education research, city and regional planning, public policy, history of science and technology, and philosophy. The conference aims to address the full range of contemporary and emerging technologies. These include but are not limited to artificial intelligence, robotics, mobile devices, social media, virtual/augmented reality, gaming, geographic information systems, autonomous vehicles, and biomedical technologies (e.g., brain-machine interfaces, genetic engineering). APA is sponsoring the conference in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery ? Special Interest Group for Computer-Human Interaction (ACM SIGCHI). We look forward to seeing you at the Technology, Mind, and Society Conference! For additional information, see the conference website (http://pages.apa.org/tms/). If you have any questions, please contact the APA Science Directorate (science at apa.org). From digitalesbad at gmail.com Mon Oct 2 16:12:49 2017 From: digitalesbad at gmail.com (Axel Hutt) Date: Mon, 2 Oct 2017 22:12:49 +0200 Subject: Connectionists: Call for Paper : Data Assimilation and Control Message-ID: Dear all, this is a Call for Paper for a Frontiers Research Topic on Data Assimilation and Control: Theory and Applications in Life Sciences see https://www.frontiersin.org/research-topics/6898/data-assimilation-and-control-theory-and-applications-in-life-sciences . The understanding of complex systems is a key element to control the system's dynamics. To gain deeper insights into the underlying actions of complex systems, typically observations are analyzed what allows to derive corresponding models. These days more and more data of diverse types are available that mirror the systems dynamics, whereas system models are still hard to derive. Consequently, developing and establishing techniques that permit to gain models well-adapted to observed data is a long-standing dream of every scientific field. To this end, data assimilation and control theory provide important techniques to match diverse experimental data with an underlying model. The present Research Topic aims to bring together both recent theoretical work in data assimilation and control and applications in life sciences. This collection will reflect the state-of-the-art in current research in data assimilation and control in, originally, distinct research domains. Examples of theoretical topics (as an unconstrained open list) are Kalman filters, variational assimilation techniques, regression techniques, stochastic optimization techniques, adaptive, optimal and stochastic control. Applications may range from the parameter estimation in genetic regulatory networks over forecasts of cardio-vascular activity to control of human limb movements. If you are interested and may need some more detail, you may send me an email or go to the webpage of the Research Topic. Best regards Axel -- Axel Hutt Directeur de Recherche Deutscher Wetterdienst - German Meteorological Service Research and Development, Department FE 12 (Data Assimilation) Frankfurter Strasse 135, 63067 Offenbach, Germany Tel.: +49 69 8062 2750 http://www.geocities.ws/digitalbath/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeremiah.deng at otago.ac.nz Mon Oct 2 23:18:37 2017 From: jeremiah.deng at otago.ac.nz (Jeremiah Deng) Date: Tue, 3 Oct 2017 16:18:37 +1300 Subject: Connectionists: PAKDD-2018 Call for Workshop Proposal Message-ID: <7BEB2EA2-2884-4FFA-89BE-240D2DDE6298@otago.ac.nz> The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD?18) June, 3 ? 6 , Melbourne, Australia | http://prada-research.net/pakdd18 Workshop Proposal Due: October 15th, 2017 Now in its 22nd edition, the Pacific-Asia conference on Knowledge Discovery and Data Mining (PAKDD) is the second oldest conference and a leading venue in the area of knowledge discovery and data mining (KDD). The conference 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. PAKDD 2018 seeks workshop proposals on foundational and emerging topics in areas related to data mining and knowledge discovery. The PAKDD workshops provide an informal and vibrant opportunity for researchers and industry practitioners to share their research positions, original research results and practical development experiences on specific challenges and emerging issues. The workshop topics should be focused and cohesive so that participants can benefit from interaction with each other. A list of topics (non-exhaustive) includes: ? ? Foundational topics in data mining ? ? Big data mining/platform ? ? Data mining on specialized data types: graphs, structured/unstructured/semi-structured data, streaming data, time series, spatial-temporal data, text, multimedia, social networks, etc. ? ? Data mining in specific disciplines: biology, ecology, e-government, environmental sciences, finance, healthcare, manufacturing, social sciences, etc. ? ? Data mining on cloud computing ? ? Data mining and privacy ? ? Data mining and security ? ? Data mining and forensics ? ? Data mining and software engineering ? ? Deep learning on specific domains: health, cybersecurity, cyber-physical systems, etc. ? ? Data analysis and mining for new applications: smart devices, smart grids, smart homes, etc. The organizers and chairs of the workshop shall have full control on the call for papers, forming of program committees, review and selection of papers as well as planning the workshop program. HOWEVER, the program committee chairs are not allowed to submit papers to the workshops to ensure a fair review process. IN ADDITION, the chairs must include the following statement in the workshop CFP: ?Submitting a paper to the workshop means that the authors agree that at least one author should attend the workshop to present the paper, if the paper is accepted. For no-show authors, their affiliations will receive a notification.? The registration fees for workshops will be determined by the conference (not the workshop itself). The fees will be paid to the conference, and the conference will provide workshop facilities including working notes printing, meeting room, coffee break, lunch, proceedings and so on. Each workshop will have a right to include its outstanding papers in a LNCS/LNAI post Proceedings of PAKDD Workshops published by Springer. Under the program, the workshop chair must organize a review committee to select the outstanding papers from the papers presented in the workshop. Based on the reviews, each selected paper should be further improved for the camera-ready version. A detailed schedule of due dates for the paper selection and the collection of the camera-ready versions will be announced immediately after the workshop announcement. Prospective workshop organizers should send a proposal (maximum three pages) with the following sections to pakdd18ws at gmail.com. ? ? Title of the workshop ? ? Objectives, scope, and contribution to the main conference ? ? Names and contacts of key organizers and a tentative list of members of the program committee, along with links to their webpages ? ? Expected number of papers, attendees, and preliminary workshop format Workshops will have either a full day or a half day format. Prior discussion of candidate workshop organizers with the workshop co-chairs is strongly encouraged. Important Dates ? ? Workshop proposal due: October 15, 2017 ? ? Workshop notification: October 31, 2017 ? ? Workshop call for papers: November 15, 2017 ? ? Suggested workshop author notification: February 5, 2018 ? ? Workshop camera-ready due: February 12, 2018 We look forward to your proposals and contributions to PAKDD 2018 Workshops. If you have any question, please drop us an email at: pakdd18ws at gmail.com PAKDD?18 Workshop Co-Chairs Benjamin Fung, McGill University, Canada Can Wang, Griffith University, Australia Sent by Jeremiah Deng, PAKDD?18 Publicity co-chair, University of Otago, New Zealand From zoltan.szabo.list at gmail.com Tue Oct 3 15:18:12 2017 From: zoltan.szabo.list at gmail.com (Zoltan Szabo) Date: Tue, 3 Oct 2017 21:18:12 +0200 Subject: Connectionists: CFP: D-7 reminder; Learning on Distributions, Functions, Graphs and Groups workshop @ NIPS-2017 Message-ID: <949b646e-4f62-cefd-fc4d-fe42ed640e09@gmail.com> Dear All, This is a gentle reminder; the submission to the 'Learning on Distributions, Functions, Graphs and Groups workshop @ NIPS-2017' will close in 7 days. ========================================================================= 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 (5pm, Pacific Time). - Notification of acceptance: Oct. 20, 2017 (5pm, Pacific Time). 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) Description: The increased variability of acquired data has recently pushed the field of machine learning to extend its scope to non-standard data including for example functional, distributional, graph, or topological data. Successful applications span across a wide range of disciplines such as healthcare, action recognition from iPod/iPhone accelerometer data, causal inference, bioinformatics, cosmology, acoustic-to-articulatory speech inversion, network inference, climate research, and ecological inference. Leveraging the underlying structure of these non-standard data types often leads to significant boost in prediction accuracy and inference performance. In order to achieve these compelling improvements, however, numerous challenges and questions have to be addressed: - choosing an adequate representation of the data, - constructing appropriate similarity measures (inner product, norm or metric) on these representations, - efficiently exploiting their intrinsic structure such as multi-scale nature or invariances, - designing affordable computational schemes (relying e.g., on surrogate losses), - understanding the computational-statistical tradeoffs of the resulting algorithms, and - exploring novel application domains. The goal of this workshop is - to discuss new theoretical considerations and applications related to learning with non-standard data, - to explore future research directions by bringing together practitioners with various domain expertise and algorithmic tools, and theoreticians interested in providing sound methodology, - to accelerate the advances of this recent area and application arsenal. We encourage submissions on a variety of topics, including but not limited to: - Novel applications for learning on non-standard objects - Learning theory/algorithms on distributions - Topological and geometric data analysis - Functional data analysis - Multi-task learning, structured output prediction, and surrogate losses - Vector-valued learning (e.g., operator-valued kernel) - Gaussian processes - Learning on graphs and networks - Group theoretic methods and invariances in learning - Learning with non-standard input/output data - Large-scale approximations (e.g. sketching, random Fourier features, hashing, Nystr?m method, inducing point methods), and statistical-computational efficiency tradeoffs. Organizers: - Florence d'Alch?-Buc (T?l?com ParisTech, Paris-Saclay University) - Krikamol Muandet (Mahidol University, MPI T?bingen) - Bharath K. Sriperumbudur (Pennsylvania State University) - Zolt?n Szab? (?cole Polytechnique) ========================================================================= Best, Workshop Organizers From luca.oneto at unige.it Wed Oct 4 01:40:59 2017 From: luca.oneto at unige.it (Luca Oneto) Date: Wed, 4 Oct 2017 07:40:59 +0200 Subject: Connectionists: ESANN 2018 SS 2nd CPF - Emerging trends in machine learning: beyond conventional methods and data Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Emerging trends in machine learning: beyond conventional methods and data" 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: Recently, new promising theoretical results, techniques, and methodologies have attracted the attention of many researchers and have allowed to broaden the range of applications in which machine learning can be effectively applied in order to extract useful and actionable information from the huge amount of heterogeneous data produced everyday by an increasingly digital world. Examples of these methods and problems are: - Learning under privacy and anonymity constraints - Learning from structured, semi-structured, multi-modal (heterogeneous) data - Constructive machine learning, e.g. generative models and structured output learning - Reliable machine learning - Learning to learn, e.g. lifelong learning and learning the loss - Mixing deep and structured learning, e.g. mixture of wide and deep models - Semantics-enabled recommender systems - Reproducibility and interpretability in machine learning - Human in the loop - Adversarial learning The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of machine learning and other fields of research in solving real world problems. Both theoretical and practical results are welcome to our special session. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.elen.ucl.ac.be/esa nn/index.php?pg=submission. Each paper will undergo a peer reviewing process for its acceptance. Authors should send as soon as possible an e-mail with the tentative title of their contribution to the special session organisers. IMPORTANT DATES: Submission of papers: 20 November 2017 Notification of acceptance: 31 January 2018 ESANN conference: 25-27 April 2018 SPECIAL SESSION ORGANISERS Luca Oneto , University of Genoa (Italy) Nicol? Navarin , University of Padua (Italy) Michele Donini , Istituto Italiano di Tecnologia (Italy) Davide Anguita , University of Genoa (Italy) ------------------------------------------------------------ ----------------------- Luca Oneto, PhD University of Genoa web: www.lucaoneto.com DIBRIS Department e-mail: Luca.Oneto at unige.it SmartLab Laboratory e-mail: Luca.Oneto at gmail.com Via Opera Pia 11a Fax: +39-010-3532897 <+39%20010%20353%202897> 16145 Genoa ITALY Phone: +39-010-3532192 <+39%20010%20353%202192> www.smartlab.ws ------------------------------------------------------------ ----------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Wed Oct 4 04:42:36 2017 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Wed, 4 Oct 2017 09:42:36 +0100 Subject: Connectionists: [PAPER/DISCUSSION] What Does Explainable AI Really Mean? A New Conceptualization of Perspectives (arXiv:1710.00794 [cs.AI]) Message-ID: <005c01d33cec$bc6d3b60$3547b220$@gmail.com> Dear all, we just put a short workshop version of an attempt at clarifying the different ideas around/developing a taxonomy for explainable AI, interpretable AI, comprehensible AI,. on arxiv.org: https://arxiv.org/abs/1710.00794 We hope to develop this into a somewhat comprehensive longer article in the near future, trying to provide (more) clarity concerning terminology and conceptions. Since we want to make sure that as many views, past/current/future projects, etc. are represented, we invite comments, thoughts, and criticism as part of an iterative cycle - whenever we have a new draft, we will update the version on arxiv accordingly. Cheers, Tarek. -- Department of Computer Science City, University of London Email: Tarek-R.Besold at city.ac.uk Web: http://www.cat-ai.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From filippombianchi at gmail.com Wed Oct 4 05:30:49 2017 From: filippombianchi at gmail.com (filippo bianchi) Date: Wed, 4 Oct 2017 11:30:49 +0200 Subject: Connectionists: [CfP] Special session on Non-iterative Approaches in Learning - WCCI 2018 Message-ID: [Apologies if you receive multiple copies of this CFP] *********** Call for Papers *********** *Special session on Non-iterative Approaches in Learning (Including comparative studies with iterative methods)* 2018 IEEE World Congress on Computational Intelligence (WCCI 2018) Rio de Janeiro, BRAZIL, 08-13 July 2018 - http://www.ecomp.poli.br/~ wcci2018/ ------------------------------------------------------------ --------------------------------- *DESCRIPTION:* Optimization, which plays a central role in learning, has received considerable attention from academics, researchers, and domain workers. Many optimization problems in machine learning can be tackled with non-iterative approaches, which can be presented in closed-form manner. Those methods are in general computationally faster than iterative solutions and less sensitive to parameter settings. Even though non-iterative methods have attracted much attention in recent years, there exists a performance gap when compared with older methods and other competing paradigms. This special session aims to bridge this gap. The first target of this special session is to present the recent advances of non-iterative solutions in learning. Secondly, the focus is on promoting the concepts of non-iterative optimization with respect to counterparts, such as gradient-based methods and derivative-free iterative optimization techniques. Besides the dissemination of the latest research results on non-iterative algorithms, it is also expected that this special session will cover some practical applications, present some new ideas and identify directions for future studies. Original contributions, comparative studies with both iterative and non-iterative methods are welcome. Typical paradigms include (but not limited to) random vector functional link (RVFL), Echo State Networks (ESN), kernel ridge regression (KRR), random forests (RF), etc? The topics of the special session include, but are not limited to: - Methods with and without randomization - Regression, classification and time series analysis - Kernel methods such as kernel ridge regression, kernel adaptive filters, etc. - Feedforward, recurrent, multilayer, deep and other structures. - Ensemble learning - Moore-Penrose pseudo inverse, SVD and other solution procedures. - Gaussian Process regression - Non-iterative methods for large-scale problems with and without kernels - Theoretical analysis of non-iterative methods - Comparative studies with competing iterative methods - Applications of non-iterative solutions in domains such as power systems, biomedical, finance, signal processing, big data and all other areas *Important Dates* - 15th January 2018 ? paper submission deadline - 15th March 2018 ? Paper acceptance notification - 8-13 July 2018 ? IEEE WCCI 2018 conference, Rio de Janeiro, Brazil *Paper Submission* Papers submitted to this Special Session are reviewed according to the same rules as the submissions to the regular sessions of WCCI 2018. Authors who submit papers to this session are invited to mention it in the form during the submission. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures of the other papers. *Organizers* - Dr P. N. Suganthan, Nanyang Technological University, Singapore. epnsugan at ntu.edu.sg - Dr. Filippo Maria Bianchi, UiT the Arctic University of Norway, Troms?, filippo.m.bianchi at uit.no Link to PDF version of CfP: https://drive.google.com/file/d/ 0BxA9SLBW5FD1MEZSRGV5bmt1eGc/view -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Wed Oct 4 06:49:53 2017 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Wed, 4 Oct 2017 11:49:53 +0100 Subject: Connectionists: Euro IoT: Registrations opened Message-ID: <560130f1-c0fe-1220-8375-df85f6f65f61@isep.ipp.pt> (https://euroiota17.github.io/site/) The European IoT Analytics Summit is a meeting place for both academia, government and industr y to discuss upcoming challenges of IoT data mining, machine learning and data science methods. This event is organized and funded by the Big Data and Market Insights Chair at Institute Mines-Telecom. The Internet of Things (IoT), the large network of physical devices that extends beyond the typical computer networks, will be creating a huge quantity of data in real time in the next future. The realization of IoT depends on being able to gain the insights hidden in the vast and growing seas of data available. Since current approaches don't scale to Internet of Things (IoT) volumes, new systems with novel mining techniques are necessary due to the velocity, but also variety, and variability, of such data. There is a great deal of interest in analyzing data from IoT. The main goal for this year's event is to bring together top researchers from academia, as well as top data scientists from industry and government with the special focus of evolving infrastructures for IoT. * EuroIoTA 2017 will take place in Porto on November 24th.* 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 smart at neuralcorrelate.com Wed Oct 4 08:24:51 2017 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Wed, 4 Oct 2017 08:24:51 -0400 Subject: Connectionists: Vote TODAY for the Best Illusion of the Year! In-Reply-To: <018f01d33d0a$fe410e40$fac32ac0$@neuralcorrelate.com> References: <018f01d33d0a$fe410e40$fac32ac0$@neuralcorrelate.com> Message-ID: <01f701d33d0b$cb5bc500$62134f00$@neuralcorrelate.com> Worldwide voting for the 13th Best Illusion of the Year Contest will take place on the Contest's website TODAY, from 4pm EDT on October 4th to 4pm EDT on October 5th. The Top 10 finalist illusions, selected from dozens of entries from countries all around the world, will be publicly revealed then. The 2017 Contest coincides with the release of Champions of Illusion: The Science Behind Mind-Boggling Images and Mystifying Brain Puzzles. "Champions" features many of the best illusions from the Contest, and their neural underpinnings. Champions of Illusion is available for pre-order. Proceeds will support future editions of the Best Illusion of the Year Contest. Anybody with an internet connection can vote to pick the Top 3 winning illusions from the Top 10 finalists. The 1st place winner will receive $3,000, the 2nd place winner $2,000, and the 3rd place winner $1,000. 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 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 ted.carnevale at yale.edu Wed Oct 4 10:44:14 2017 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Wed, 4 Oct 2017 10:44:14 -0400 Subject: Connectionists: High performance computing workshop at SFN 2017 Message-ID: Seats are still available in the workshop Using the Neuroscience Gateway Portal (NSG) for Parallel Simulations Saturday, Nov. 11 from 9 AM to noon which we are presenting in downtown Washington, DC as a satellite to this year's SFN meeting. NSG eliminates most technical and adminstrative barriers to using high performance computing resources, and even gives away free CPU time on parallel supercomputers. Software currently installed on NSG includes BluePyOpt, Brian, CARLsim, Freesurfer, GENESIS, MATLAB, MOOSE, NEST, NEURON, PyNN, and the Virtual Personalized Multimodal Connectome Pipeline. At this workshop you will learn how to use this NSF-supported resource in your computationally-intensive modeling and data analysis projects. You will also hear presentations from several research teams about how they are using NSG in their own research. For a description of the workshop and its application form, see http://www.neuron.yale.edu/neuron/static/courses/nsg2017/nsg2017.html The registration deadline is Friday Oct. 28. --Ted From dtborek at gmail.com Wed Oct 4 15:53:22 2017 From: dtborek at gmail.com (Daniel Borek) Date: Wed, 4 Oct 2017 21:53:22 +0200 Subject: Connectionists: AoN Brainhack Warsaw 2017 'early bird' registration extended till 15th October! Message-ID: *AoN Brainhack Warsaw 2017* *November 17-19, 2017* *University of Warsaw, Warsaw, Poland* *? The early bird registration extended to 15th October2017 ? * On the weekend of *17-19th November 2017*, the first edition of AoN Brainhack Warsaw will take place. During this three-day event dedicated to students and PhD students, we will work in teams on* neuroscience-related projects*. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community ( Craddock et al., 2016) . Attendees of various backgrounds are welcome to join! Please note AoN Brainhack Warsaw 2017 is a satellite event for the interdisciplinary Aspects of Neuroscience conference which will take place on 24-26th November 2017 in Warsaw. Participation in the conference is not mandatory to take part in Brainhack but we encourage to also consider this. Below you could see list of projects which will be realised during our three day event: 1. Functional connectivity research: can we find a common ground? 2. Detecting trypophobia triggers 3. Development of video game for studying joint action dynamics 4. Training a human-like movie evaluation system based on the semantic features of the storylines 5. Hypothesis?-driven white matter tractography from T1?-weighted MRI images 6. One channel EEG sleep staging with open source and open hardware NeuroOn sleep mask 7. Building a brain-ageing biomarker using machine learning 8. Building and using the ?FlyPi?: the 3D-printed Neurobiology Lab *?Early bird?* registration for project participants,* closes on 15th October 2017*. The applications will be reviewed and the notification of acceptance will be sent to the applicants until 20th October2017. We welcome everyone at the AoN Brainhack Warsaw 2017 event. We would like to prepare the equipment and the clusters properly before the event, therefore we are asking the participants to register in advance and choose the projects of their preference. We will do our best to make sure that everyone can take part in the project they like, and that the projects are well prepared for the participants. In any case, we welcome everyone to come, watch the event and help us at the first Brainhack in the history of AoN conference! A registration fee of 25EUR (or 100PLN) will be requested upon acceptance. The registration fee will be spent on the catering during the event. To register please visit our page and learn more about the Brainhack Warsaw! https://brainhackwarsaw.github.io/ We looking forward to see you in Warsaw! *The AoN Brainhack Warsaw 2017 team:* Natalia Bielczyk, MSc, Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands (natalia.bielczyk at gmail.com) Krzysztof Bielski, Faculty of Psychology, University of Warsaw, Warsaw, Poland Daniel Borek, MSc, Doctoral School of Social and Behavioural Sciences, Ghent University, Ghent, Belgium, (dtborek at g mail.com ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Phil.Garner at idiap.ch Thu Oct 5 05:03:03 2017 From: Phil.Garner at idiap.ch (Phil Garner) Date: Thu, 5 Oct 2017 11:03:03 +0200 Subject: Connectionists: Several post-doc positions in Deep Learning Message-ID: <6e77c289-fcbc-5800-8257-31f6bf6cdca0@idiap.ch> Dear Colleagues, We currently have openings for three post-doctoral researchers at Idiap Research Institute. All involve the theory and application of deep learning in speech and/or natural language processing. http://www.idiap.ch/education-and-jobs/job-10223 The positions are funded by EU and US grants; they offer the international collaboration opportunities associated with such funds. Idiap is located in French speaking Switzerland, although the lab hosts many nationalities, and functions in English. All positions offer quite generous salaries. Several similar positions at PhD, post-doc and senior level are available at the institute in general. http://www.idiap.ch/en/join-us/job-opportunities Sincerely, -- Phil Garner http://www.idiap.ch/~pgarner From franrruiz87 at tsc.uc3m.es Thu Oct 5 07:45:14 2017 From: franrruiz87 at tsc.uc3m.es (franrruiz87) Date: Thu, 05 Oct 2017 07:45:14 -0400 Subject: Connectionists: CFP: NIPS Workshop on Advances in Approximate Bayesian Inference Message-ID: <0a074e7179dd4044f38a3608707922ef@tsc.uc3m.es> Call For Papers NIPS Workshop on Advances in Approximate Bayesian Inference Friday, 8th December 2017, Long Beach, California URL: http://approximateinference.org Submission deadline: Nov 01, 2017 Please direct questions to: aabiworkshop2017 at gmail.com ## Call for Participation We invite researchers to submit their recent work on the development, analysis, or application of approximate Bayesian inference. A submission should take the form of an extended abstract of 2-4 pages in PDF format using the NIPS style. Author names do not need to be anonymized and references may extend as far as needed beyond the 4 page upper limit. If authors' research has previously appeared in a journal, workshop, or conference (including NIPS 2017), their workshop submission should extend that previous work. Submissions may include a supplement/appendix, but reviewers are not responsible for reading any supplementary material. This year, the workshop offers multiple best paper awards. They are open to all researchers, and a few awards are restricted to junior researchers. Submitting by the deadline automatically entitles you for consideration for all of the following: + Roughly $3000 in total, to be allocated across winners + Four NIPS 2017 workshop registration fee waivers ## Abstract Approximate inference is key to modern probabilistic modeling. Thanks to the availability of big data, significant computational power, and sophisticated models, machine learning has achieved many breakthroughs in multiple application domains. At the same time, approximate inference becomes critical since exact inference is intractable for most models of interest. Within the field of approximate Bayesian inference, variational and Monte Carlo methods are currently the mainstay techniques. For both methods, there has been considerable progress both on the efficiency and performance. In this workshop, we encourage submissions advancing approximate inference methods. We are open to a broad scope of methods within the field of Bayesian inference. In addition, we also encourage applications of approximate inference in many domains, such as computational biology, recommender systems, differential privacy, and industry applications. ## Key Dates Nov 01, 2017: Submission Deadline Nov 15, 2017: Notification of Acceptance Nov 24, 2017: Submission Reviews & Award Notifications ## Organizers Francisco Ruiz, Stephan Mandt, Cheng Zhang, James Mclnerney, Dustin Tran ## Advisory Committee Tamara Broderick, Michalis Titsias, David Blei, Max Welling From stefanos at cs.ntua.gr Thu Oct 5 11:53:04 2017 From: stefanos at cs.ntua.gr (Stefanos Kollias) Date: Thu, 5 Oct 2017 18:53:04 +0300 Subject: Connectionists: research fellow in machine learning: position announcement, university of lincoln uk In-Reply-To: References: Message-ID: *Research Fellow in Machine Learning and Deep Neural Architectures for Signal Analysis and Prediction * * School of Computer Science, University of Lincoln, UK** Salary: * From ?32,004 per annum **This is a new post, for a fixed term of 27 months *Closing Date: * Thursday 19 October 2017 *Interview Date: * Friday, 3 November 2017* Reference: *COS417A We seek to employ a highly?motivated post-doctoral researcher that will be working on the EU-H2020 project?"CORe monitoring Techniques and EXperimental validation and demonstration (CORTEX)".?The project will give the opportunity to the post holder to engage with other partners of the project across Europe. You should hold a PhD (or equivalent)?or be near to completion, and should be able to demonstrate a good track record in at least one of the following research fields:Machine Learning,Deep Learning,Signal Processing Applications,Pattern Analysis. The contract is fixed for 27 months. The starting time can be soon following the announcement of the successful candidate. This position is funded by the EU-H2020 project CORe monitoring Techniques and EXperimental validation and demonstration, which runs from September 2017 to August 2021. The CORTEX project aims at developing core monitoring techniques that can be used to detect and characterize operational problems, before they have any inadvertent effect on plant safety and availability. The project relies on using the fluctuations existing in any process parameter that can be measured at the plants in order to monitor their state, primarily the neutron flux. The postholder will work on applying machine learning and deep learning techniques for analysing the collected signals and produce effective and transparent predictions. You can apply on-line through the University of Lincoln web site. If you would like to know more about this opportunity, please contact *Professor Stefanos Kollias* (Founding Professor of Machine Learning, skollias at lincoln.ac.uk ). -------------- next part -------------- An HTML attachment was scrubbed... URL: From dzysman at mit.edu Thu Oct 5 11:26:48 2017 From: dzysman at mit.edu (Daniel Zysman) Date: Thu, 5 Oct 2017 15:26:48 +0000 Subject: Connectionists: Open position: Expert in machine learning and high-performance computing Message-ID: <8900AE93-4784-4D08-AF84-F6F1889CE6C3@mit.edu> The Department of Brain and Cognitive Sciences seeks an expert in machine learning and high-performance computing to collaborate on cutting edge research on neuroscience, perception, cognition, and artificial intelligence. The department is a world leader in computational approaches to brain science, and is home to state-of-the-art computing resources as well as the Center for Brains, Minds and Machines, a multi-institutional NSF Science and Technology Center dedicated to the study of intelligence. Salary will be competitive with industry. To apply: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails.do?functionName=getJobDetail&jobPostId=10436&localeCode=en-us For more information about our department: https://bcs.mit.edu/ Job Description: PROGRAMMER/SOFTWARE DEVELOPMENT ENGINEER/COMPUTATIONAL AND MACHINE LEARNING SPECIALIST, Brain and Cognitive Sciences, to help tackle challenging problems in high-performance computing methods and systems, machine learning, management of large datasets, and artificial intelligence. Responsibilities include helping researchers translate computational algorithms into efficiently functioning (especially parallelized and GPU optimized) code; assisting with installation and implementation of third-party tools; staying up-to-date with cutting-edge computational techniques; providing guidance for storage and management of large data sets; developing and maintaining online courses for computing resources, running in-person tutorials on specific software packages/tools, and helping transition users to new computing tools; providing educational support and training to users of the departmental computing cluster; and monitoring cluster usage and resolving problems. Job Requirements: Bachelor?s degree (advanced degree preferred) in a scientific field or computer science; at least four years? experience in scientific high-performance (cluster) computing; familiarity with Slurm and Lustre; broad computational background with knowledge of Unix, HPC algorithms, GPU computing, programming models, debuggers, and performance tools; software development experience, especially Python and MATLAB, but also R, Lua, JavaScript, etc.; knowledge of high-level APIs for HPC computing; expertise installing and maintaining third-party software in an HPC environment and with container technology, especially in the context of computational reproducibility; familiarity with mathematical algorithms for high-performance computing, use or design of HPC profiling or optimization tools, and deep neural networks; ability to work effectively with scientists and engineers; initiative, tact, and judgment in developing solutions for users; excellent interpersonal skills and ability to communicate effectively, orally, in writing, and via live presentations; demonstrated ability to assume leadership roles, grasp complex problems, and develop solutions; and extensive background in high-performance computing. MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1845 bytes Desc: not available URL: From benoit.frenay at unamur.be Fri Oct 6 09:05:29 2017 From: benoit.frenay at unamur.be (Benoit Frenay) Date: Fri, 6 Oct 2017 15:05:29 +0200 Subject: Connectionists: Interaction and User Integration in ML for Infovis at ESANN'18 Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: ?special session on "Interaction and User Integration in Machine Learning for Information Visualisation" 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: Many methods have been developed in machine learning (ML) for information visualisation (infovis).? For example, PCA, MDS, t-SNE and improvements are standard tools to reduce the dimensionality of high dimensional datasets for visualisation purposes.? However, multiple other means are regularly used in the field of infovis when tackling datasets with high dimensionality.? Letting the user manipulate the visualisation is one of these means, either through selection, navigation or filtering.? Introducing manipulation of the visualisation also integrates the user as a core aspect of a given system.? In the context of machine learning, beyond the informational and exploratory use of infovis, users' feedback can for example be highly informational to drive the dimensionality reduction process. This special session of the ESANN conference is a followup of the special session on "Information Visualisation and Machine Learning: Techniques, Validation and Integration" at ESANN 2016.? It aims to gather researchers that integrate users in the core of ML methods for infovis.? New algorithms and frameworks are welcome, as well as experimental use cases that bring new insight in the integration of interaction and user integration in ML for infovis.? This special session aims to provide practitioners from both communities a common forum of discussion where issues at the crossroads of machine learning and information visualisation could be discussed. Topics of interest include, but are not limited to: * ??? supervised and semi-supervised machine learning and infovis * ??? unsupervised ML (clustering, dimension reduction) * ??? user feedback on metaparameters * ??? new visual paradigms for machine learning * ??? interaction techniques for infovis with/of machine learning * ??? user and device adaptivity for visual analytics * ??? warm restart and dedicated optimization techniques * ??? scalability * ??? applications in industry, agriculture, medicine, biology, etc. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided inhttp://www.elen.ucl.ac.be/esann/index.php?pg=submission. ?Each paper will undergo a peer reviewing process for its acceptance. ?Authors should send as soon as possible an e-mail with the tentative title of their contribution to the special session organisers. IMPORTANT DATES: Paper submission deadline : 20 November 2017 Notification of acceptance : 31 January 2018 The ESANN 2014 conference : 25-27 April 2018 SPECIAL SESSION ORGANISERS: Prof. Bruno Dumas Universit? de Namur, Belgium E-mail: bruno.dumas at unamur.be Website: http://directory.unamur.be/staff/bdumas Phone: +32 81 72 49 75 Prof. Beno?t Fr?nay Universit? de Namur, Belgium E-mail: benoit.frenay at unamur.be Website:http://bfrenay.wordpress.com Phone: +32 81 72 49 76 Prof. John Lee Universit? catholique de Louvain, Belgium E-mail: john.lee at uclouvain.be Website:https://mlg.info.ucl.ac.be/Members/JohnLee Phone: +32 2 764 95 28 -- Beno?t FR?NAY Associate Professor Faculty of Computer Science T. +32 (0)81 724 976 (secr. 725 252) F. +32 (0)81 724 967 benoit.frenay at unamur.be Universit? de Namur ASBL Rue de Bruxelles 61 - 5000 Namur Let?s respect the environment together. Only print this message if necessary! -------------- next part -------------- An HTML attachment was scrubbed... URL: From csafaksahin at gmail.com Fri Oct 6 09:53:47 2017 From: csafaksahin at gmail.com (cem safak sahin) Date: Fri, 6 Oct 2017 09:53:47 -0400 Subject: Connectionists: AICS 2018 Workshop Challenge Problem Message-ID: Dear All, We are pleased to invite you to participate in the AICS 2018 Workshop Challenge Problem: "To Believe or Not to Believe, Detecting Unreliable News in the Information Age." The challenge is to leverage machine learning and/or Big Data analytics to detect unreliable news articles. We have collected a corpus of data containing news articles from the Internet with labels signifying whether or not each article is reliable or unreliable (please see full challenge description for more information: http://www-personal.umich.edu/~arunesh/AICS2018/challenge.html). Participants can utilize this dataset to construct and test their solutions. Submissions should document their methods and results in a paper that conforms to the AICS Workshop's regular paper format. Challenge problem submissions will be reviewed as full AICS 2018 Workshop papers and accepted challenge papers will be presented in their own session at the workshop and published as part of the workshop's proceedings. IMPORTANT DATES: Challenge Paper Submission Deadline - November 3, 2017 Author Notification - November 9, 2017 Sincerely yours, The AICS 2018 Workshop Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From beierh at gmail.com Sun Oct 8 19:13:32 2017 From: beierh at gmail.com (Ulrik Beierholm) Date: Mon, 9 Oct 2017 00:13:32 +0100 Subject: Connectionists: Workshop announcement: The Probabilistic Brain, March 2018 Message-ID: Dear Colleagues We are very pleased to invite you to an exciting 2-day workshop on *probabilistic approaches to learning, perception, and action* in the historic city of Durham in the North-East of England: see the workshop website . The workshop will take place on *March 23rd-24th 2018*, and registration is *open now*. Speakers: Vikranth Rao Bejjanki, Hamilton College ? Nick Chater, University of Warwick ? J?zsef Fiser, Central European University ? Aldo Faisal, Imperial College London ? Samuel Gershman, Harvard University ? Janneke Jehee, Donders Institute ? Rebecca Lawson, UCL / Cambridge ? Laurence T Maloney, NYU ? Pascal Mamassian, Ecole Normale Sup?rieure ? Christopher Summerfield, University of Oxford ? Jane Wang, Google DeepMind The workshop is supported by the Experimental Psychology Society and Durham University. For full info on the workshop format and topics, our location and travel, and Registration, please see the workshop website . Hope to see you there, The organisers, Marko Nardini ? Ulrik Beierholm ? Maria Olkkonen (Durham University) ? Tessa Dekker (UCL) ? Laurence T Maloney (NYU) -------------- next part -------------- An HTML attachment was scrubbed... URL: From byronyu at cmu.edu Sun Oct 8 18:38:28 2017 From: byronyu at cmu.edu (Byron Yu) Date: Sun, 8 Oct 2017 18:38:28 -0400 Subject: Connectionists: Call for Papers: Special Issue on the Statistical Analysis of Neural Data Message-ID: Journal of Computational Neuroscience Call for Papers: Special Issue on the Statistical Analysis of Neural Data Due Date: December 1, 2017 Website: http://www.springer.com/biomed/neuroscience/journal/10827 Topics Models of Neural Systems: Mechanistic and statistical models are used to understand and explain observed data. Such models can also be used to estimate latent variables (other neural or behavioral signals) that correlate with measured data. For example state-space models are used to understand how latent variables (states) influence neural and behavioral measurements or to simply explain how and why control systems in the central nervous system operate the way they do. Papers that develop models to estimate latent signals or to explain observed phenomena are encouraged to submit for this topic. Control of Neural Systems: Control theory is a field that entails the analysis of dynamical systems and the synthesis of controllers that actuate these systems to meet specific objectives (e.g. tracking a signal, rejecting disturbances, stabilizing an unstable system). Control theory has emerged as an important field in neuroscience because it has become possible to more easily manipulate the chemical and electrical patterns in the brain (the dynamical system to be controlled) with drugs that cross the blood brain barrier, electrical stimulation delivered through electrodes implanted into the brain, or via light delivered through optical fibers that excites genetically manipulated neurons. Papers addressing methods and/or applications to study (model) or manipulate neural systems with exogenous inputs using modeling are encouraged to submit for this topic. Analysis of Neural Systems: Analysis of neurophysiological and behavioral data from neuroscience investigations is a fundamental task in computational and statistical neuroscience. The task can be challenging when the following one or more experimental conditions are present: (i) The dimensionality of the data are scaled up from an order of tens to hundreds or even larger; (ii) The data are either very noisy with a very low signal-to-noise ratio and/or exhibit high variability (across trials or time); (iii) There is an unknown relationship between neural recordings and measured behavior, especially at different temporal scales. Papers addressing methods and/or applications of methods to analyze neurophysiological and behavioral data are encouraged to submit for this topic. From luigi.malago at gmail.com Mon Oct 9 06:49:17 2017 From: luigi.malago at gmail.com (=?UTF-8?Q?Luigi_Malag=C3=B2?=) Date: Mon, 9 Oct 2017 13:49:17 +0300 Subject: Connectionists: 2 postdoc positions in Geometric Methods for Deep and Reinforcement Learning at RIST Message-ID: =========================================================== *Subject*: 2 postdoc positions in Machine Learning (1 year, renewable up to 3 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry *Application deadline*: 20 October 2017 (applicants are encouraged to apply earlier) *Salary*: around 2190 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc- positions-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for 2 postdoc positions, in the context of the DeepRiemann project ?Riemannian Optimization Methods for Deep Learning?, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 3 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in- deep-learning-and-machine-learning.html Informal inquiries can be sent to Dr. Luigi Malag? , principal investigator of the DeepRiemann project. Application deadline: 20 October 2017 (applicants are encouraged to apply earlier) best regards, Luigi Malag? -------------- next part -------------- An HTML attachment was scrubbed... URL: From rmcantin at unizar.es Mon Oct 9 06:52:03 2017 From: rmcantin at unizar.es (Ruben Martinez-Cantin) Date: Mon, 9 Oct 2017 12:52:03 +0200 Subject: Connectionists: NIPS 2017 Workshop on Bayesian optimization for science and engineering (BayesOpt) Message-ID: ### Call for papers NIPS 2017 Workshop BayesOpt 2017 Saturday, December 9, 2017 Long Beach Convention Center, Long Beach, CA, USA http://bayesopt.com ### Important dates Submission deadline: 3 November 2017 (11:59 pm Pacific). Notification: 17 November 2017. Camera ready: 1 December 2017. Workshop: 9 December 2017. ### Description The NIPS Workshop on Bayesian Optimization is calling for contributions on theoretical models, empirical studies, and applications of Bayesian optimization. We also welcome challenge papers on possible applications or datasets. Topics of interest (though not exhaustive) include: Bayesian optimization Sequential experimental design and bandits Applications, in industry or academia, other scientific disciplines welcome Related areas, e.g., active learning, reinforcement learning See also the workshop overview for more details. ### Submission instructions Papers must be in the latest NIPS format, but with a maximum of 4 pages (excluding references). Papers can be either anonymized or not (i.e. you can decide whether to uncomment or add \nipsfinalcopy to your document prior to submitting). The reviewing process will be anonymous (i.e., blind). Accepted papers and eventual supplementary material will also be made available on the workshop website. The camera-ready papers have to include the \nipsfinalcopy. However, this does not constitute an archival publication and no formal workshop proceedings will be made available, meaning contributors are free to publish their work in archival journals or conference. Submissions can be made through https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FBAYESOPT2017 ### Registration to NIPS Presenters of accepted posters will have access to a reserved pool of NIPS tickets which includes full conference registration. Selected posters will also be eligible for free workshop registration. #### Confirmed speakers and panelists Peter Frazier (Cornell/Uber) Yutian Chen (Deepmind) Romy Lorenz (Imperial College London) Andreas Krause (ETH Zurich) David Ginsbourger (Idiap Research Institute, Switzerland) Stefanie Jegelka (MIT) Panel moderator: Philipp Hennig (Max Plank Institute for Intelligent Systems) #### Organizers: Jos? Miguel Hern?ndez-Lobato (University of Cambridge) Javier Gonzalez (Amazon) Ruben Martinez-Cantin (SigOpt) From lynnyelinkim at gmail.com Mon Oct 9 11:15:43 2017 From: lynnyelinkim at gmail.com (Lynn Kim) Date: Mon, 9 Oct 2017 11:15:43 -0400 Subject: Connectionists: Fully-funded PhD Positions in Affective Computing and Automatic Emotion Recognition at SUNY Message-ID: *Fully-funded PhD Positions in Affective Computing and Automatic Emotion Recognition at SUNY* Application deadline: 1 November 2017 (**see below for more information**) We have several PhD research assistantship positions available at the State University of New York, Albany. We are seeking highly creative and motivated applicants with a keen interest in doing research in human-centered technology, affective computing, and automatic emotion recognition using machine learning and multimodal signal processing techniques. *Requirements:* - A bachelor's degree in a relevant field (Electrical and Computer Engineering, Computer Science, Statistics, or related) - Solid background in computer programming - Proficiency in spoken and written English - (Preferred) Knowledge in one of the following technologies: Python, MATLAB, Java, C/C++, Torch, Theano, Tensorflow - (Preferred) Previous coursework and/or practical experience in machine learning - (Preferred) Solid background in mathematics and/or statistics *Interest in one of the following areas:* - Human-Centered and Affective Computing, Computational Human Behavior Analysis - Machine Learning, Statistics, Applied Mathematics - Speech Processing, Computer Vision *We expect:* - Keen interest in top level conference and journal publications - Self-organized, team worker, with good communication skills *We offer:* - You will work at one of the leading U.S. Universities and have the opportunity to work towards your PhD in a group of excellent scientists - Tuition, stipend, and fringe benefits - You will get financial support to attend and present at top level international conferences - Visas will be fully supported for international students To apply, please send an email to Prof. Yelin Kim (yelinkim at albany.edu) including a CV and a research statement (max. 2 pages) by November 1, 2017. We have rolling admissions policies, so please apply as early as possible. Please give your email the subject ?SUNY PhD Research Assistantship in Automatic Emotion Recognition." Please liberally forward and share to possibly interested candidates or people that might know suitable candidates. -------------- next part -------------- An HTML attachment was scrubbed... URL: From erishabh at gmail.com Tue Oct 10 10:00:52 2017 From: erishabh at gmail.com (Rishabh Mehrotra) Date: Tue, 10 Oct 2017 15:00:52 +0100 Subject: Connectionists: First CFP: WSDM Workshop on Learning from User Interactions Message-ID: *WSDM Workshop on Learning from User Interactions* We invite contributions to WSDM Workshop on Learning from User Interactions at WSDM 2018 to be held in Los Angeles, 6 - 8 Feb 2018. *TL;DR**:* 4-6 pages, in WSDM format, submit by November 30th. Workshop Website: https://task-ir.github.io/wsdm2018-learnIR-workshop/ Submission Link: Easychair Twitter: https://twitter.com/learnIRWSDM We intend to have a sponsored Best Paper award alongside potential registration support for students. *Overview* While users interact with online services (e.g. search engines, recommender systems, conversational agents), they leave behind fine grained traces of interaction patterns. The ability to understand user behavior, record and interpret user interaction signals, gauge user satisfaction and incorporate user feedback gives online systems a vast treasure trove of insights for improvement and experimentation. More generally, the ability to learn from user interactions promises pathways for solving a number of problems and improving user engagement and satisfaction. Understanding and learning from user interactions involves a number of different aspects - from understanding user intent and tasks, to developing user models and personalization services. A user's understanding of their need and the overall task develop as they interact with the system. Supporting the various stages of the task involves many aspects of the system, e.g. interface features, presentation of information, retrieving and ranking. Often, online systems are not specifically designed to support users in successfully accomplishing the tasks which motivated them to interact with the system in the first place. Beyond understanding user needs, learning from user interactions involves developing the right metrics and expiermentation systems, understanding user interaction processes, their usage context and designing interfaces capable of helping users. Learning from user interactions becomes more important as new and novel ways of user interactions surface. There is a gradual shift towards searching and presenting the information in a conversational form. Chatbots, personal assistants in our phones and eyes-free devices are being used increasingly more for different purposes, including information retrieval and exploration. With improved speech recognition and information retrieval systems, more and more users are increasingly relying on such digital assistants to fulfill their information needs and complete their tasks. Such systems rely heavily on quickly learnig from past interactions and incorporating implicit feedback signals into their models for rapid development. Topics Learning from User Interactions will be a highly interactive full day workshop that will provide a forum for academic and industrial researchers working at the intersection of user understanding, search tasks, conversational IR and user interactions. The purpose is to provide an opportunity for people to present new work and early results, brainstorm different use cases, share best practices, and discuss the main challenges facing this line of research. - User Needs & Tasks Understanding: - User intent analysis/prediction - User goals & missions - Task identification - Task aware suggestions & recommendations - User Modeling & Personalization: - Short and Long-term User Modelling - Personalization - Diversification - Coherence - Metrics and Evaluation : - Metrics based on user interactions - User engagement metrics design - Evaluation mechanisms - User satisfaction prediction - Controlled laboratory study - Online metrics - Test collection - User Interaction Processes & Context : - User Journey Optimization - Evolution of search process - Stages of user interactions - User journey through the system - Leveraging contextual signals - Learning for user interaction optimization: algorithms, frameworks & system designs - Intelligent interface designs: - Adaptive personal digital assistants - Tailored decision support - Adaptive collaboration support - Applications: - Conversational search, chatbots, digital assistants - Contextual Advertising - E-commerce recommendations - Customer Support - Intelligent interfaces - Personal search - Case studies of real world implementations Submission All workshop submissions must be formatted according to ACM SIG Proceedings template. We welcome submissions in either long or short format spanning 4-6 pages. Authors should submit original papers in PDF format through the Easychair system . This is a workshop where discussion is central, and all attendees are active participants. The workshop will include keynote talks to set the stage and ensure all attendees are on the same page. A small number of contributed papers will be selected for short oral presentation (15-10 minutes), all other papers have a 2 minute boaster, and all papers are presented as poster in an interactive poster session. The results will be disseminated in various ways: - A high quality, peer reviewed workshop proceedings, published in the http://ceur-ws.org/ workshop proceedings series. - A report on the results of the workshop in the ACM SIGIR Forum of June 2018. - If the outcome lives up to our high expectations, we will consider a special issue in an appropriate journal. Important Dates - Submission Deadline: 30th November 2017 - Notification: 15th December 2017 - Workshop: 9th February 2018 Organizers 1. Rishabh Mehrotra (University College London) 2. Emine Yilmaz (University College London; Alan Turing Institute) 3. Ahmed Hassan Awadallah (Microsoft Research) You can contact us at learnIRwrkshp at gmail.com . Steering Committee: - Milad Shokouhi (Microsoft) - Fernando Diaz (Spotify) - Filip Radlinski (Google Research) - Evangelos Kanoulas (University of Amsterdam) -- Rishabh. Web: www.rishabhmehrotra.com Github: https://github.com/rishabhmehrotra/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From akshat.kumar at gmail.com Tue Oct 10 10:23:08 2017 From: akshat.kumar at gmail.com (Akshat Kumar) Date: Tue, 10 Oct 2017 22:23:08 +0800 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Tue Oct 10 08:55:40 2017 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Tue, 10 Oct 2017 14:55:40 +0200 Subject: Connectionists: PhD positions at the Max Planck Research School for Neural Circuits, Frankfurt am Main, Germany Message-ID: 8th Call for applications: International Max Planck Research School for Neural Circuits, Frankfurt am Main, Germany The International Max Planck Research School (IMPRS) for Neural Circuits was established in 2011 and offers up to ten fully-paid positions every year for talented students holding a relevant Master?s or Bachelor?s as their highest degree to perform research resulting in a PhD. The program is taught in English. The common focus of the the International Max Planck Research School (IMPRS) for Neural Circuits will be the understanding of neural circuits (from the simple to the large and complex), at all scales required to achieve this understanding. This ambitious objective will require analyses at the molecular, cellular, multi-cellular, network and behavioral levels, with the full understanding that macroscopic phenomena (spatial patterns, dynamics) can be scale-dependent, and that reductionism is not always sufficient as a method. Research areas are perception, connectomics, theoretical neuroscience, synaptic plasticity, brain dynamics, neural circuits, behavior and systems neuroscience. In the IMPRS for Neural Circuits we offer a multidisciplinary program to excellent doctoral students with backgrounds in neuroscience, mathematics, physics, computer science, (bio) chemistry, biology and medicine as well as research experience in the participating institutions of the Frankfurt Neuroscience community. Students will participate in a tailor-made educational program including research rotations and neuroscience courses but also in trainings in transferable skills as well as retreats, conferences and summer schools and lecture series. We welcome excellent students to apply to the program. Till December 1, 2017, it will be possible to apply for a position starting in the Fall of 2018. You can apply via our electronic registration system. After the deadline, the Faculty members will select around 25 students to participate in the interview symposium in Frankfurt, taking place in February 5-7, 2018. Shortly after the symposium, the students will receive a letter with an offer or rejection. More information, including Frequently Asked Questions, can be found on our website www.imprs.brain.mpg.de. -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From mohri at cs.nyu.edu Tue Oct 10 12:20:07 2017 From: mohri at cs.nyu.edu (Mehryar Mohri) Date: Tue, 10 Oct 2017 12:20:07 -0400 Subject: Connectionists: ALT 2018 CFP - submission deadline: October 27, 2017. Message-ID: <5BB716F7-BFD9-4E49-B2AB-CD0A1C3949E4@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. 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 ted.carnevale at yale.edu Tue Oct 10 18:46:07 2017 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Tue, 10 Oct 2017 18:46:07 -0400 Subject: Connectionists: Registration deadline for NEURON course at SFN 2017 meeting Message-ID: <617f5312-71a4-1474-4863-0c6f4be0b15e@yale.edu> Just a few seats remain available in the one-day NEURON course that we will be presenting at this year's meeting of the Society for Neuroscience, so you'll have to act quickly if you are * about to begin a modeling project and want to learn time-saving, powerful tips and techniques for implementing models with NEURON or * already familiar with NEURON but would like a "refresher" and learn more about working with the GUI or developing models with Python or * a PI looking for the information you need to decide if and how NEURON would fit into your lab's repertoire of research tools The registration deadline is Friday, October 27--just two and a half weeks from today. More information about the course, and an on-line registration form, are available at https://www.neuron.yale.edu/neuron/static/courses/dc2017/dc2017.html --Ted From Johan.Suykens at esat.kuleuven.be Wed Oct 11 04:45:29 2017 From: Johan.Suykens at esat.kuleuven.be (Johan Suykens) Date: Wed, 11 Oct 2017 10:45:29 +0200 Subject: Connectionists: deep restricted kernel machines Message-ID: Dear All, The following recent work is now open access available at http://www.mitpressjournals.org/doi/pdf/10.1162/neco_a_00984 http://www.mitpressjournals.org/doi/full/10.1162/neco_a_00984 Suykens J.A.K., Deep Restricted Kernel Machines using Conjugate Feature Duality, Neural Computation, vol.29, no.8, pp.2123-2163, Aug. 2017. Best regards, Johan ---------------------- Prof. Dr.ir. Johan Suykens Katholieke Universiteit Leuven Departement Elektrotechniek - ESAT-STADIUS Kasteelpark Arenberg 10 B-3001 Leuven (Heverlee) Belgium Tel: 32/16/32 18 02 Fax: 32/16/32 19 70 Email: Johan.Suykens at esat.kuleuven.be http://www.esat.kuleuven.be/stadius/members/suykens.html From ants.conf at gmail.com Wed Oct 11 04:27:45 2017 From: ants.conf at gmail.com (ANTS Conference) Date: Wed, 11 Oct 2017 10:27:45 +0200 Subject: Connectionists: First Call for Papers: Eleventh International Conference on Swarm Intelligence Message-ID: ======================================================================= ANTS 2018 Eleventh International Conference on Swarm Intelligence October 29?31, 2018. Rome, Italy Up-to-date information at http://www.swarm-intelligence.eu/ants2018/ ======================================================================= ======================================================================= Scope of the Conference ======================================================================= Swarm intelligence is the discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed a number of models to explain interesting aspects of collective behaviors such as movement coordination, shape-formation or decision making. Recently, algorithms and methods inspired by these models have been proposed to solve difficult problems in many domains. Among these, it is worth mentioning ant colony optimization (ACO) and particle swarm optimization (PSO), focusing respectively on discrete and continuous optimisation problems. Also, Swarm robotics represents another application of techniques derived from swarm intelligence for the design of collaborative multi-robot systems featuring enhanced efficiency, robustness and scalability. ANTS 2018 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications. The three-day conference will be held for the first time in Rome, Italy, on October 29?31, 2018. ======================================================================= Relevant Research Areas ======================================================================= ANTS 2018 solicits contributions dealing with any aspect of swarm intelligence. Typical, but not exclusive, topics of interest are: - Behavioral models of social insects or other animal societies that can stimulate new algorithmic approaches. - Theoretical and empirical and research in swarm intelligence. - Application of swarm intelligence methods (e.g., ant colony optimisation or particle swarm optimisation) to real-world problems. - Theoretical and experimental research in swarm robotics systems. ======================================================================= Important Dates ======================================================================= Submission deadline: April 15, 2018 Notification of acceptance: June 15, 2018 Camera ready copy: June 29, 2018 Conference: October 29?31, 2018 ======================================================================= Publication Details ======================================================================= Accepted papers will be published in conference proceedings (Springer LNCS, to be confirmed). The journal Swarm Intelligence will publish a special issue dedicated to ANTS 2018 that will contain extended versions of the best research works presented at the conference. Further details will soon be published on the web site. ======================================================================= Conference Location ======================================================================= Aula Marconi, Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro 7, 00185 Rome, Italy ======================================================================= Best Paper Award ======================================================================= A best paper award will be presented at the conference. Continuing the tradition of the ANTS Conference Series, the prize winner will receive a sculpture of an ant expressly created for the ANTS Conference by the Italian sculptor Matteo Pugliese. ======================================================================= ANTS 2018 Organizing Committee ======================================================================= ++ General chair ++ Marco Dorigo - Universit? libre de Bruxelles, Belgium ++ Local organisation and publicity chair ++ Vito Trianni - Institute of Cognitive Sciences and Technologies (ISTC), Italian National Research Council (CNR), Italy ++ Technical program chairs ++ Mauro Birattari - Universit? libre de Bruxelles, Belgium Christian Blum - Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC), Spain Anders L. Christensen - Instituto Universit?rio de Lisboa, Portugal ++ Publication chair ++ Andreagiovanni Reina - The University of Sheffield, UK ======================================================================= Further Information ======================================================================= Up-to-date information will be published at the following address: http://www.swarm-intelligence.eu/ants2018/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccsmd-science at UVA.NL Wed Oct 11 08:41:27 2017 From: iccsmd-science at UVA.NL (iccsmd-science) Date: Wed, 11 Oct 2017 12:41:27 +0000 Subject: Connectionists: CfP ICCS-2018: International Conference on Computational Science. Wuxi, China, June 11-13, 2018 In-Reply-To: <570FBEB24183E94F9354FD0B7E26DF6B37BCF359@MBX03.uva.nl> References: <570FBEB24183E94F9354FD0B7E26DF6B37BCF359@MBX03.uva.nl> Message-ID: <22738_1507726163_v9BCnFPM025437_570FBEB24183E94F9354FD0B7E26DF6B37BD0365@MBX03.uva.nl> Dear Colleagues, Please accept our apologies if you receive multiple copies of this email. Please forward the call to your colleagues. ****************************************************** * ICCS 2018 * International Conference on Computational Science * Wuxi, China * June 11-13, 2018 * http://www.iccs-meeting.org/iccs2018/ ****************************************************** Authors are invited to submit manuscripts reporting original unpublished research and recent developments in Computational Sciences by December 15, 2017. https://easychair.org/conferences/?conf=iccs2018 All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. After the conference, selected papers will be invited for a special issue of the Journal of Computational Science (Impact Factor: 1.748, 5-Year Impact Factor: 2.009 http://www.journals.elsevier.com/journal-of-computational-science). The ICCS conference is the prime annual event in Computational Science. This interdisciplinary conference on modelling and simulation of real-world phenomena will draw academic and industry leaders from all relevant fields. ICCS intends to provide a forum to disseminate world-leading research in the field of (scientific) Computational Science and in particular to highlight the role which modelling and simulation plays in future scientific discovery. ICCS 2018 invites original contributions on all topics related to Computational Science, including, but not limited to: * Scientific Computing * Problem Solving Environments * Advanced Numerical Algorithms * Complex Systems: Modeling and Simulation * Hybrid Computational Methods * Web- and Grid-based Simulation and Computing * Parallel and Distributed Computing * Advanced Computing Architectures and New Programming Models * Visualization and Virtual Reality as Applied to Computational Science * Applications of Computation as a Scientific Paradigm * New Algorithmic Approaches to Computational Kernels and Applications * Computational Humanities * Education in Computational Science * Large Scale Scientific Instruments * Computational Sociology * Medical and Biomedical Computational Science As the conference theme this year is ?Science at the Intersection of Data, Modelling and Computation?, papers highlighting the role of these three fundamental concepts in shaping modern science will be particularly welcome. ICCS is an ERA 2010 A-ranked conference series. For further details please visit http://www.iccs-meeting.org/iccs2018/ ---------------------------------- Papers: ---------------------------------- Papers of up to 10 pages, written in English and complying with the Springer LNCS format, should be submitted electronically through the ICCS-Easychair submission system https://easychair.org/conferences/?conf=iccs2018 Templates are available for download in the Easychair menu in a "New submission" mode. Submission implies the willingness of at least one of the authors to register and present the paper. Papers must be based on unpublished original work and must be submitted to ICCS only. ---------------------------------- Important dates: ---------------------------------- Paper submission deadline: December 15, 2017 Author registration deadline: March 2, 2018 Conference sessions: June 11-13, 2018 ---------------------------------- Conference Organizers: ---------------------------------- Local Organizers: Yong Shi (UCAS, China) Haohuan Fu (UCAS, China) Workshop Chair: Michael Harold Lees (University of Amsterdam, The Netherlands) Publicity Chair: Valeria V. Krzhizhanovskaya (University of Amsterdam, The Netherlands and ITMO University, Russia) Scientific Chair: Peter M.A. Sloot (University of Amsterdam, The Netherlands and Complexity Institute NTU, Singapore) Scientific Co-Chair: Jack Dongarra (University of Tennessee, USA) ---------------------------------- ----- To unsubscribe please send an email to LISTSERV at MLIST.NTU.EDU.SG with the following command in the body of your email: SIGNOFF ICCS or UNSUBSCRIBE ICCS From horacio at njit.edu Wed Oct 11 20:05:58 2017 From: horacio at njit.edu (Horacio G. Rotstein) Date: Wed, 11 Oct 2017 20:05:58 -0400 Subject: Connectionists: PhD Position in Experimental and Computational Neuroscience Message-ID: PhD Position in Experimental and Computational Neuroscience ? Federated Department of Biological Sciences Rutgers University /? New Jersey Institute of Technology (NJIT) Applications are to work in joint projects of the research groups led by Profs. Horacio G. Rotstein and Jorge Golowasch to work on project that address the problem of the relationship between intrinsic/network neuronal variability and stability of neuronal activity: How can neuronal activity be stable if the ionic currents that generate this activity are highly variable? (See publication examples below). 1. Golowasch, J. *Mechanisms underlying nervous system plasticity and stability*. BioScience, *64*(7): 570-580, 2014?; 2. ?Rotstein, H.G., Olarinre, M. and Golowasch, J. (2016) Dynamic compensation mechanism gives rise to period and duty-cycle level sets in oscillatory neuronal models. *J. Neurophysiol*., *116*: 2431-2452)? The successful applicant will be eligible for NSF-funded? support. Student applicants should have ?a strong background in neuroscience, biology or applied mathematics/physics and a genuine interest in conducting interdisciplinary research. Training will be provided in the other areas. In addition, students must be able to show English proficiency both written and verbal as required by US universities. The ideal candidate would be highly motivated, technically skilled, a team player and show signs of independent and critical thinking. The PhD program will contribute to the further development of these skills. PhD students have also the opportunity to teach and write grant proposals. Overall, the PhD program is designed to prepare the participating students for a large variety of jobs both academic and in industry. Research in Neuroscience at the Rutgers/NJIT campus is thriving, with a well-funded faculty interacting and collaborating on many projects across disciplines. Students have the possibility of attending a wide variety of seminars and colloquia across campus (biology, neuroscience, mathematical biology). The campus is less than 30 min from Manhattan and the many academic and cultural activities the city has to offer. Interested candidates please ?contact Dr. Jorge Golowasch ( golowasch at njit.edu) or Dr. Horacio G. Rotstein (horacio at njit.edu) for informal enquiries. Please e-mail (i) CV, (ii) brief statement of scientific research, and (iii) three reference letters. Formal applications will be accepted until December 15th, 2017 for enrollment in the next academic year through NJIT's Admissions Office. Full list of requirements can be found in http://biology.njit.edu/academics/graduate/phd-program.php. -- Horacio, NY/NJ area. "Az di bobe volt gehat beytsim volt zi geven mayn zeide" (Yiddish expression) Horacio G. Rotstein Professor Mathematical Biology & Computational Neuroscience Federated Department of Biological Sciences Rutgers University / New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neurosciences Program Rutgers University (NWK) and tel: (1-973) 596-8460 e-mail: horacio at njit.edu horacior at andromeda.rutgers.edu http://web.njit.edu/~horacio -------------- next part -------------- An HTML attachment was scrubbed... URL: From chriskanan at gmail.com Thu Oct 12 12:46:44 2017 From: chriskanan at gmail.com (Christopher Kanan) Date: Thu, 12 Oct 2017 12:46:44 -0400 Subject: Connectionists: Funded PhD and MS Programs in Imaging Science at RIT Message-ID: *RIT GRADUATE PROGRAMS IN IMAGING SCIENCE* https://www.cis.rit.edu/ Application deadline: January 15, 2018 http://www.cis.rit.edu/graduate-programs/graduate-application-process ***** Imaging Science is the interdisciplinary study of imaging and image analysis in all of its forms and uses, ranging from using deep learning for understanding scenes to studying human eye movements to developing the next generation in remote sensing technologies. The Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology is inviting applications to its Ph.D. and M.S. programs in Imaging Science. We have extremely active research groups in computer vision, human vision, deep learning, virtual reality, remote sensing, optics, medical imaging, astronomy, and more. Graduate students at *both *the M.S. and Ph.D. levels are typically funded as Graduate Teaching Assistants during their first year, and as Research Assistants thereafter. Students at both levels are typically paid stipends and do not pay tuition. More details, including program structure, applications, and faculty members are available on our website: https://www.cis.rit.edu/ -- Christopher Kanan, Ph.D. Assistant Professor Carlson Center for Imaging Science Rochester Institute of Technology Office 3140, Building #76 http://www.chriskanan.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at aalto.fi Thu Oct 12 13:21:44 2017 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Thu, 12 Oct 2017 17:21:44 +0000 Subject: Connectionists: Tenure-track or Tenured Professor in Machine Learning Message-ID: Tenure-track or Tenured Professor in Machine Learning The Department of Computer Science (CS) at Aalto University (Helsinki, Finland) invites applications for a tenure-track or tenured professor in Machine Learning. Aalto is currently investing heavily in fundamental research in Artificial Intelligence and Finland in applied AI; Aalto Department of Computer Science is the right place to pursue the next generation of machine learning and AI. As of last year the CS department has already recruited two professors in machine learning and is now recruiting again two new professors: one in machine learning and another call in AI is to open soon. With nine professors and ca. 100 PhD students and postdocs working in machine learning, data mining, and probabilistic modelling, Aalto Department of Computer Science is one of Europe?s leading centres of research in the field of the call. The current faculty?s strength is apparent in e.g. the high volume of extremely competitive funding from the Academy of Finland (equivalent to National Science Foundation) and the European Research Council (ERC), as well as the volume of high-achieving international students entering the MSc and PhD programs in Machine Learning and Data Mining. Furthermore, as the foremost CS educator in Finland, the department is home to the majority of the best Finnish students. In total, the department hosts 44 professors with diverse interests, forming a fertile environment for cross-disciplinary collaborations. On a larger scale, as a technology-friendly, yet small country, Finland offers ample opportunities for low-overhead collaboration with industrial and government partners as well. The review of the new position will begin on Oct 29, 2017 and the position will remain open until filled. For further information, please visit http://www.aalto.fi/fi/about/careers/jobs/view/1533/. From dengdehao at gmail.com Thu Oct 12 08:56:45 2017 From: dengdehao at gmail.com (Teng Teck Hou) Date: Thu, 12 Oct 2017 21:56:45 +0900 Subject: Connectionists: [INNS-BDDL 2018] Call for Papers Message-ID: <59df668f.8433620a.20d3.17d4@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 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL) will be held Tuesday through Thursday, April 17 ? 19, 2018 at the Grand Inna Bali Beach hotel, Sanur, Bali, Indonesia. The INNS BDDL conference aims 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 and presented papers will be published in Procedia Computer Science indexed by Scopus. Several papers will be selected for possible publication in a high-quality journal. A preliminary list of such journals includes: - Cognitive Systems Research (Scopus SJR 0.648, Impact Factor 1.182) - Cognitive Computation (Scopus SJR 0.823, Impact Factor 3.441) - Big Data Analytics - Evolving Systems (Scopus SJR 0.459, Impact Factor 1.067) - International Journal of Neural Systems (Scopus SJR 1.121, Impact Factor 6.333) - and possibly others 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 * Ari Santoso, Ministry of Education and Culture ################################################################### #################### 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 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 paul.cisek at umontreal.ca Wed Oct 11 16:42:28 2017 From: paul.cisek at umontreal.ca (Paul Cisek) Date: Wed, 11 Oct 2017 16:42:28 -0400 Subject: Connectionists: Postdoctoral fellowship in the neuroscience of decision-making Message-ID: <055001d342d1$73d12200$5b736600$@umontreal.ca> Postdoctoral fellow in the neuroscience of decision-making Department of neuroscience, laboratory of Paul Cisek Applications are invited for a postdoctoral fellowship in cognitive neuroscience, in the laboratory of Paul Cisek at the University of Montr?al. Our research group studies the neural mechanisms of decision-making in humans and non-human primates using computational models of the nervous system as well as behavioral experiments, transcranial magnetic stimulation, and multi-electrode recording, and we have several ongoing collaborations involving fMRI, MEG and intracranial EEG. See www.cisek.org/pavel for information on current projects and a list of sample publications. The successful applicant will lead a research project investigating real-time dynamic decision-making through simultaneous multi-electrode recordings in the basal ganglia and the prefrontal, premotor and motor cortex of non-human primates. A Ph.D. in neuroscience or related field is required, and prior experience in neurophysiology and/or computational modeling of neural systems is highly desirable. Depending on the applicant's qualifications and interests, they will help to design and conduct behavioral and neurophysiological experiments, analyze data, develop theoretical models of neural mechanisms, prepare manuscripts for publication, and participate in international conferences. For further information, please contact Dr. Paul Cisek (paul.cisek at umontreal.ca ). Applicants are asked to send a cover letter, curriculum vita, copies of academic transcripts, an optional statement of research interests, and the names and contact information of 2 or 3 references, to: Dr. Paul Cisek Department of neuroscience, University of Montr?al C.P. 6128 Succursale Centre-ville Montr?al, QC H3C 3J7, CANADA Phone: 514-343-6111 x4355 Web: www.cisek.org/pavel email: paul.cisek at umontreal.ca Applications will be accepted until the position is filled, but preference will be given to applications received by November 30, 2017. Interviews will be possible at the Society for Neuroscience meeting (Washington DC, November 11-15, 2017) -------------- next part -------------- An HTML attachment was scrubbed... URL: From manish.saggar at gmail.com Thu Oct 12 01:27:30 2017 From: manish.saggar at gmail.com (Manish Saggar) Date: Wed, 11 Oct 2017 22:27:30 -0700 Subject: Connectionists: Postdoc position studying brain dynamics in healthy and patient populations Message-ID: The Brain Dynamics Lab (BDL) directed by Dr. Manish Saggar at Stanford University has an immediate opening for a Postdoctoral Fellow to develop and employ computational methods that can quantify transitions in brain activity (or connectivity) from neuroimaging data from patients with psychiatric illness and healthy controls. Specifically, we have several ongoing projects using multi-modal neuroimaging (e.g., simultaneous fMRI and EEG; and more recently simultaneous EEG and fNIRS) to develop computational methods that can capture and quantify transitions in brain activity (or connectivity). Once validated we plan to deploy these methods to neuroimaging data gathered from patients with psychiatric illness (e.g., depression and ADHD) so that disorder-specific and person-centric biomarkers can be established. We use a number of neuroimaging modalities including simultaneous EEG/fMRI, structural/functional connectivity, and fMRI/fNIRS/EEG to measure brain activity across space and time during complex tasks. We develop and employ several computational tools to capture and quantify transitions in brain activity (or connectivity) using Applied Mathematics and Machine Learning. We also use computational modeling (e.g., The Virtual Brain) for realistic bio-physical network model simulations and neuromodulation (e.g., TMS) to gain mechanistic understandings for the observed aberrant brain dynamics in patients with psychiatric illness. Successful applicants will have a background in several of the following areas: Recording and analysis of simultaneous (and independent) EEG and fMRI, structural and dynamical functional connectivity analyses, the design of complex behavioral experiments/tasks, signal detection theory, computational modeling, machine learning. A Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, Neuroscience or Psychology is preferred. The BDL (http://bdl.stanford.edu) is within the Department of Psychiatry & Behavioral Sciences at Stanford University. We are part of a dynamic and vibrant neuroimaging division of the department (Division of Interdisciplinary Brain Sciences; DIBS). Interested candidates should send via email their CV, three representative papers, the names of three references, and a cover letter to Dr. Manish Saggar (saggar at stanford.edu). The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. The positions are available immediately and applicants will be considered on a rolling basis. m- Manish Saggar, Ph.D. Assistant Professor, Psychiatry & Behavioral Sciences Faculty, Hasso-Plattner Institute of Design (a.k.a. d.school) Stanford University, Stanford CA ph: +1-650-723-3656 www: http://bdl.stanford.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From Michael.Hanselmann at de.bosch.com Fri Oct 13 07:31:57 2017 From: Michael.Hanselmann at de.bosch.com (Hanselmann Michael (CR/PJ-AI-R4)) Date: Fri, 13 Oct 2017 11:31:57 +0000 Subject: Connectionists: Deep Learning Researcher in Autonomous Driving Message-ID: <4f7c6fc2e28e4e058bb677187427a04c@FE-MBX1030.de.bosch.com> The Bosch Center for Artificial Intelligence (BCAI) provides solutions and services in AI technologies to Bosch's business units in mobility, consumer good, industrial technology, and smart buildings. The center works in collaboration with a large team of researchers, engineers, and software providers. We are now hiring Machine Learners for Autonomous Driving, offering a fascinating job in a team of highly motivated top experts in one of the most exciting areas of technology. See https://www.bosch-ai.com for more information. Deep Learning researcher for autonomous driving: - Development of deep recurrent neural networks (DeepRNNs) for environmental modeling and situation understanding in highly automated / autonomous driving - Implementation of efficient algorithms for behavior prediction in real time - Further development of existing approaches, e.g. uncertainty handling, hybrid models - Original research, theoretical investigations, publications at top Machine Learning conferences and journals - Close contact to the scientific community in Deep RNNs, scouting and assessment of new approaches, publications on top conferences and journals - Technical discussions and creation of new ideas within the existing Machine Learning research team - Supervision of Master and PhD students Requirements: - PhD in Deep Learning with excellent publication record - Proven programming skills, in particular Python and one of Theano/Keras/TensorFlow - Experience in development and implementation of state-of-the-art DL technologies, experience with graphical models is a plus - Broad knowledge of machine learning algorithms and principles as well as probability theory - Experience with real-world applications - Strong teamplayer, motivation and ability to define personal research roadmap - Strong English skills, motivation to work in an interdisciplinary and international team Keywords: - Deep Learning, Recurrent Neural Networks, RNN, Long Term Short Term Memory, LSTM Contact: Michael.HanselmannATde.bosch.com Mit freundlichen Gr??en / Best regards Dr. Michael Hanselmann Differentiating AI - Environmental Understanding & Decision Making (CR/PJ-AI-R4) Robert Bosch GmbH | Renningen | 70465 Stuttgart | GERMANY | www.bosch.com Tel. +49 711 811-49420 | Mobil +49 1525 8813459 | Fax +49 711 811-5194774 | Michael.Hanselmann at de.bosch.com Sitz: Stuttgart, Registergericht: Amtsgericht Stuttgart, HRB 14000; Aufsichtsratsvorsitzender: Franz Fehrenbach; Gesch?ftsf?hrung: Dr. Volkmar Denner, Prof. Dr. Stefan Asenkerschbaumer, Dr. Rolf Bulander, Dr. Stefan Hartung, Dr. Markus Heyn, Dr. Dirk Hoheisel, Christoph K?bel, Uwe Raschke, Peter Tyroller -------------- next part -------------- An HTML attachment was scrubbed... URL: From dengdehao at gmail.com Thu Oct 12 17:51:40 2017 From: dengdehao at gmail.com (Teng Teck Hou) Date: Fri, 13 Oct 2017 06:51:40 +0900 Subject: Connectionists: [INNS-BDDL 2018] Call for Papers Message-ID: <59dfe3ed.0d71630a.f69ad.c540@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 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL) will be held Tuesday through Thursday, April 17 ? 19, 2018 at the Grand Inna Bali Beach hotel, Sanur, Bali, Indonesia. The INNS BDDL conference aims 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 and presented papers will be published in Procedia Computer Science indexed by Scopus. Several papers will be selected for possible publication in a high-quality journal. A preliminary list of such journals includes: - Cognitive Systems Research (Scopus SJR 0.648, Impact Factor 1.182) - Cognitive Computation (Scopus SJR 0.823, Impact Factor 3.441) - Big Data Analytics - Evolving Systems (Scopus SJR 0.459, Impact Factor 1.067) - International Journal of Neural Systems (Scopus SJR 1.121, Impact Factor 6.333) - and possibly others 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 * Ari Santoso, Ministry of Education and Culture ################################################################### #################### 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 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 eero at cns.nyu.edu Thu Oct 12 23:19:47 2017 From: eero at cns.nyu.edu (Eero Simoncelli) Date: Thu, 12 Oct 2017 23:19:47 -0400 (EDT) Subject: Connectionists: Doctoral studies in Computational/Theoretical Neuroscience at NYU Message-ID: <20171013031947.336BCC32FD@elvira.cns.nyu.edu> New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in brain sciences. A list of relevant faculty, sorted by their primary departmental affiliation, is provided below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS) (deadline: 1 December) [http://www.cns.nyu.edu/doctoral/] * Andre A. Fenton - Molecular, neural, behavioral, and computationalaspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in CDS) - Computational models of memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition, image processing. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. Neuroscience and Physiology program, School of Medicine (deadline: 1 December) [http://neuroscience.med.nyu.edu/training-programs/graduate-program-neuroscience-physiology-school-medicine] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://www.psych.nyu.edu/programs/cp/] * Todd Gureckis - Memory, learning, and decision processes. * David Heeger (also in CNS) - fMRI, computational neuroscience, vision, attention. * Brenden Lake (also in CDS) - Computational modeling of cognition. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Gary Marcus - Origins of the human mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Center for Data Science (CDS) (deadline: 18 December) [https://cds.nyu.edu/academics/phd-in-data-science/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. Mathematics (deadline: 18 December) [http://math.nyu.edu/degree/phd/] * David Cai - Nonlinear stochastic behavior in physical and biological systems. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics computational modeling and theoretical neuroscience. Physics (deadline: 18 December) [http://physics.as.nyu.edu/page/graduate] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, hierarchical visual processing, robotics. Economics (deadline: 18 December) [http://as.nyu.edu/econ/degree-programs/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision. From hans.ekkehard.plesser at nmbu.no Fri Oct 13 04:56:41 2017 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Fri, 13 Oct 2017 08:56:41 +0000 Subject: Connectionists: NEST Conference 2017 --- Register NOW! Message-ID: <0BF3CC27-4675-4C36-B9F2-95B0584ED932@nmbu.no> Dear colleagues! It is a great pleasure to invite current and potential users of NEST, the Neural Simulation Tool (http://www.nest-simulator.org), to the NEST Conference 2017 to be held on 19/20 December 2017 (Tuesday/Wednesday, lunch to lunch) at Haus Overbach in Barmen near J?lich, Germany. After our very successful and stimulating meeting in Karlsruhe last November, we are greatly looking forward to 24 hours filled with presentations and discussions of NEST applications to computational neuroscience and neurorobotics projects and NEST technology development. You are cordially invited to contribute to the program with your contribution! We are grateful to the Human Brain Project Outreach Programme and Education Programme for financial support. Important deadlines: - 1 November 2017: Deadline for submission of contribution and travel grant applications - 15 November 2017: Deadline for registrations For details, contribution submission and registration, please see https://indico-jsc.fz-juelich.de/event/52/overview We are looking forward to seeing you all in December! Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser From manish.saggar at gmail.com Thu Oct 12 18:37:24 2017 From: manish.saggar at gmail.com (Manish Saggar) Date: Thu, 12 Oct 2017 15:37:24 -0700 Subject: Connectionists: Postdoc position studying neural correlates of creativity (and collaboration) Message-ID: The Brain Dynamics Lab (BDL) directed by Dr. Manish Saggar at Stanford University has an immediate opening for a Postdoctoral Fellow to investigate the role of brain dynamics during individual and team creativity (and collaboration). Specifically, we have several ongoing projects using multi-modal and multi-person (a.k.a. hyper-scanning) neuroimaging to study the neural correlates of (a) creative capacity enhancement and sustainability; (b) team creativity; (c) reflection (vs rumination) during creative thinking; and (d) the so-called ?slump? in creativity during middle childhood. We use a number of neuroimaging modalities including simultaneous EEG/fMRI, structural/functional connectivity, and fMRI/fNIRS/EEG to measure brain activity across space and time during complex tasks. We develop and employ several computational tools to capture and quantify transitions in brain activity (or connectivity) using Applied Mathematics and Machine Learning. Successful applicants will have a background in several of the following areas: Recording and analysis of neuroimaging data (fMRI preferred), structural/functional connectivity, the design of complex behavioral experiments/tasks, signal detection theory, cognitive modeling, machine learning. A Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, Neuroscience or Psychology is preferred. The BDL (http://bdl.stanford.edu) is within the Department of Psychiatry & Behavioral Sciences at Stanford University. We are part of a dynamic and vibrant neuroimaging division of the department (Division of Interdisciplinary Brain Sciences; DIBS). Interested candidates should send via email their CV, three representative papers, the names of three references, and a cover letter to Dr. Manish Saggar (saggar at stanford.edu). The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. The positions are available immediately and applicants will be considered on a rolling basis. m- Manish Saggar, Ph.D. Assistant Professor, Psychiatry & Behavioral Sciences Faculty, Hasso-Plattner Institute of Design (a.k.a. d.school) Stanford University, Stanford CA ph: +1-650-723-3656 <(650)%20723-3656> www: http://bdl.stanford.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From jtouboul at brandeis.edu Sat Oct 14 15:46:34 2017 From: jtouboul at brandeis.edu (Jonathan D. Touboul) Date: Sat, 14 Oct 2017 21:46:34 +0200 Subject: Connectionists: Tenure Track Position in Applied Mathematics at Brandeis Message-ID: <865CDCE3-4231-482B-B123-5691E92F89D3@brandeis.edu> Brandeis University, Department of Mathematics, invites applications for a tenure-track position in applied mathematics at the rank of assistant professor beginning fall 2018. Candidates must have a Ph.D. in mathematics or a related field, demonstrate potential for excellence in research, and display a commitment to teaching. An ideal candidate will be expected to help to build an applied mathematics program within the department, and to interact with other science faculty at Brandeis. Candidates from all areas of applied mathematics will be considered. First consideration will be given to applications received by November 15. Applications should include an AMS cover sheet, a curriculum vitae, research and teaching statements, and four letters of recommendation, one of which addresses teaching effectiveness. Applications should be submitted through MathJobs.org : https://www.mathjobs.org/jobs/jobs/10791 -------------- next part -------------- An HTML attachment was scrubbed... URL: From vito.trianni at istc.cnr.it Mon Oct 16 08:52:53 2017 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Mon, 16 Oct 2017 14:52:53 +0200 Subject: Connectionists: [Jobs] Open research position on Socio-Cognitive Dynamics at ISTC-CNR, Rome, Italy Message-ID: The Institute of Cognitive Sciences and Technologies at the Italian National Research Council announces the opening of a postdoctoral position in Social and Cognitive Dynamics. The fellowship - funded by the Institute for Informatics and Telematics of the Italian National Research Council - is established to honour the memory of Rosaria Conte, Research Director and founder of the Laboratory of Agent Based Social Simulation at the Institute of Cognitive Sciences and Technologies in Rome, where the position will be housed. Rosaria Conte is especially known for her work regarding the cognitive bases of the social action, with particular attention on norm-based behaviour and various mechanisms promoting it, in particular reputation and gossip. She pioneered work on agent-based simulation and applied this innovative approach to shed light on the bidirectional dynamics between individual agents and over-individual structures. Her studies mostly contributed to advance the understanding of social order and conflict, as well as the evolution of social institutions. The Social and Cognitive Dynamics fellowship is intended as a way to continue developing Rosaria Conte?s work and ideas, reflecting her many inter-disciplinary interests alongside her commitment and enthusiasm for mentoring younger researchers. Competitive applicants will be creative, independent, and have expertise in one or more of the following topics: cooperation, collective action, social norms, reputation, trust, opinion dynamics, self-organisation, signalling, responsibility, heterodox economics, techno-social systems. We are open to applicants with an interdisciplinary focus from cognitive sciences, computational social sciences, behavioural social sciences, social psychology and other related fields, with a preference for computational and experimental approaches. The position will include substantial freedom to develop a research project based on the researcher?s own ideas and interests. While highly desirable, a PhD is not an essential requirement. We will also consider candidates who are nearing the end of their PhDs. The position is for one year (with possibility of renewal) and complete applications are due by November the 20th. The successful applicant is expected to start as soon as possible. For additional info and documents, see http://laral.istc.cnr.it/trianni/index.php/2017/10/16/open-research-position-in-collaboration-with-labss/ ======================================================================== Vito Trianni, Ph.D. vito.trianni@(no_spam)istc.cnr.it ISTC-CNR http://www.istc.cnr.it/people/vito-trianni Via San Martino della Battaglia 44 Tel: +39 06 44595277 00185 Roma Fax: +39 06 44595243 Italy ======================================================================== From pascal.fua at epfl.ch Mon Oct 16 12:13:12 2017 From: pascal.fua at epfl.ch (Pascal Fua) Date: Mon, 16 Oct 2017 18:13:12 +0200 Subject: Connectionists: Faculty Positions in Computer at EPFL Message-ID: <241be77e-3106-a514-3103-09d375e8e26f@epfl.ch> The School of Computer and Communication Sciences (IC) at EPFL invites applications for faculty positions in computer and communication sciences. We are seeking candidates for tenure track assistant professor as well as, in exceptional cases, for senior positions. The school is seeking candidates in the fields of: data science and machine learning ? including applications in bioinformatics, natural language processing, and speech recognition ? security and privacy, and verification and formal methods. Candidates in other areas will also be considered. EPFL offers internationally competitive salaries, generous research support, significant start-up resources, and outstanding research infrastructure. Academics in Switzerland enjoy many research funding opportunities, as well as an exceptionally high standard of living. For more details, please check https://professeurs.epfl.ch/page-150334-en.html -- -------------------------------------------------------------------- Prof. P. Fua (Pascal.Fua at epfl.ch) Tel: 41/21-693-7519 FAX: 41/21-693-7520 Url: http://cvlab.epfl.ch/~fua/ -------------------------------------------------------------------- From georg.martius at tuebingen.mpg.de Mon Oct 16 04:04:49 2017 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Mon, 16 Oct 2017 10:04:49 +0200 Subject: Connectionists: Funded Ph.D. Positions at the International Max Planck Research School for Intelligent Systems Message-ID: <3726665.9F2hpl4Mla@aschau> *Funded Ph.D. Positions* at the New International Max Planck Research School for Intelligent Systems *Website: http://imprs.is.mpg.de* *Deadline: November 7, 2017* The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and T?bingen are collaborating to offer a new interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems. This new doctoral program will be accepting its new generation of Ph.D. students in Spring 2018 and will enroll about 100 Ph.D. students over the next six years. This school is a key element of Baden-W?rttemberg?s ?Cyber Valley? initiative to accelerate basic research and commercial development in artificial intelligence. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as - Computer Vision - Machine Learning - Robotics - Haptics - Control Systems - Perceptual Inference - Computer Graphics - Micro- and Nano-Robotics The participating faculty are Frank Allg?wer, Matthias Bethge, Michael J. Black, Andr?s Bruhn, Peer Fischer, Andreas Geiger, Philipp Hennig, Katherine J. Kuchenbecker, Hendrik Lensch, Georg Martius, Ludovic Righetti, Stefan Schaal, Bernhard Sch?lkopf, Metin Sitti, Alexander Spr?witz, Ingo Steinwart, Marc Toussaint, Ulrike von Luxburg, and Felix Wichmann. Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. To advance human knowledge in this domain, we need doctoral students who are curious, creative, and passionate about research to join our school. Learn more at http:// imprs.is.mpg.de - All aspects of the program are in English. - You may join our program in spring 2018. - You will be mentored by our internationally renowned faculty. - You will register as a university graduate student and conduct research for approximately three years. - You can take part in a wide variety of scientific seminars, advanced training workshops, and social activities. - Your doctoral degree will be conferred when you successfully complete your Ph.D. project. - Our dedicated coordinator will assist you throughout your time as a doctoral student. People with a strong academic background and a master?s degree in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply. We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply. We are an equal opportunity employer and value diversity at our institutions. Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities. You can apply at http://imprs.is.mpg.de before midday CET on November 7, 2017. The selection interviews will take place between January 23 and January 26, 2018 in Stuttgart and T?bingen, Germany. For further information please contact Dr. Leila Masri at imprs at is.mpg.de or visit our website http://imprs.is.mpg.de -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 163 bytes Desc: This is a digitally signed message part. URL: From complexis at insticc.info Mon Oct 16 13:28:13 2017 From: complexis at insticc.info (complexis at insticc.info) Date: 16 Oct 2017 18:28:13 +0100 Subject: Connectionists: CFP COMPLEXIS 2018 - 3rd Int.l Conf. on Complexity, Future Information Systems and Risk (Funchal, Madeira/Portugal) Message-ID: <20171016172814.21414.8A1313766A641A85@insticc.info> SUBMISSION DEADLINE 3rd International Conference on Complexity, Future Information Systems and Risk Submission Deadline: October 30, 2017 http://www.complexis.org/ March 20 - 21, 2018 Funchal, Madeira, Portugal. COMPLEXIS is organized in 7 major tracks: - Complexity in Informatics, Automation and Networking - Complexity in Biology and Biomedical Engineering - Complexity in Social Sciences - Complexity in Computational Intelligence and Future Information Systems - Complexity in EDA, Embedded Systems, and Computer Architecture - Network Complexity - Complexity in Risk and Predictive Modeling In Cooperation with IFSR, EATCS. With the presence of internationally distinguished keynote speakers: Ernesto Estrada, University of Strathclyde, United Kingdom A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, COMPLEXIS Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.complexis.org/ e-mail: complexis.secretariat at insticc.org From rothkopf at fias.uni-frankfurt.de Mon Oct 16 14:41:23 2017 From: rothkopf at fias.uni-frankfurt.de (Constantin Rothkopf) Date: Mon, 16 Oct 2017 20:41:23 +0200 Subject: Connectionists: PhD positions in computational & experimental approaches to naturalistic behavior Message-ID: Applications are invited for a PhD student position in the lab of Constantin Rothkopf at the Technical University Darmstadt. The lab is part of? the newly established Centre for Cognitive Science and the Institute of Psychology. Our work focuses on computational and experimental approaches to further the understanding of naturalistic, sequential visuomotor behavior in humans, including experimental approaches to investigate cue integration in complex natural tasks (e.g., motor control, locomotion, navigation and spatial orientation). Current topics include: - statistics of visuomotor behavior in naturalistic tasks, - image statistics during visuomotor behavior in-the-wild, - optimal control models of visuomotor behavior, - inverse-optimal-control in human visuomotor behavior, - eye-movements in naturalistic tasks, - cue integration for navigation (optic flow and locomotion, locomotion and cognitive maps). For further information please visit our websites: http://www.pip.tu-darmstadt.de/ http://www.fias.uni-frankfurt.de/~rothkopf/ Applicants need to have a Master's degree in cognitive science, computer science, psychology, or related fields. In addition to a strong general interest in cognitive science, computational science, experimental psychology, and interdisciplinary research, the ideal candidate has a background in eye-tracking or virtual reality technology. Experience with programming (e.g. Python, Matlab, C++, Unity) is inevitable. Analytical aptitude as well as awareness of experimental literature is expected. We offer a supportive and multidisciplinary environment driven by scientific curiosity, lab facilities for measuring extended behavior (e.g. visuomotor, motor, locomotive, spatial) in-the-wild and in VR, as well as international collaborations. Informal inquiries may be made to Constantin Rothkopf at constantin.rothkopf at cogsci.tu-darmstadt.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Mon Oct 16 18:59:37 2017 From: tarek.besold at googlemail.com (tarek.besold at googlemail.com) Date: Mon, 16 Oct 2017 23:59:37 +0100 Subject: Connectionists: 2nd CfP: Int. Workshop on Computational Creativity, Concept Invention, and General Intelligence 2017 (December 15, 2017 // Madrid, Spain) Message-ID: <00ee01d346d2$71dc8430$55958c90$@gmail.com> **************************************************** * 6h International * * Workshop on Computational Creativity, * * Concept Invention, and General Intelligence 2017 * * December 15, 2017, Madrid/Spain * **************************************************** SUBMISSION DEADLINE (EXTENDED): November 6, 2017 ******************** * Workshop Webpage * ******************** https://c3gi.inf.unibz.it/ ****************************** * Workshop Topics & Audience * ****************************** The targeted audience for the workshop are researchers associated with fields working in the development of computational models for creativity, concept formation, concept discovery, idea generation, and their overall relation to general intelligence. Furthermore, researchers coming from application areas, like computer-aided innovation (CAI) are welcome to submit papers for this workshop. We invite papers that make a scientific contribution to the fields of computational creativity, idea generation and/or artificial general intelligence, with possible topics ranging from theoretical studies of human creativity, inventive capacities and intelligence (that in some way propose a computational model for the respective capability), through more practical contributions reporting on creative, inventive or generally intelligent computer systems (we particularly welcome implementations offering general or at least multiple sorts of results) and studies of systems and software supporting and/or guiding humans in the creative or inventive act, to application-based reports from fields like design, architecture or arts. Submissions connecting to several of the aforementioned topics are highly encouraged and welcome. Due to the open nature of the targeted topics, we hope for contributions from a broad variety of subdisciplines within AI and related areas. Relevant keywords include: - Computational Creativity & Creativity-Support Tools - Analogical Reasoning - Artificial General Intelligence - Automated Story Generation - Computer-Aided & Automated Mathematics - Computer-Aided Innovation - Computational Models for Conceptual Blending - Automated Poetry Generation - Automated Music Generation/Automated Composition - Automated Art Generation - Creativity in Problem Solving ******************* * Call for Papers * ******************* Anybody with an interest in the questions raised above is invited to submit a research or position paper as basis for discussions during the workshop. Submissions should be made via EasyChair: https://easychair.org/conferences/?conf=c3gi2017 Accepted papers will be published online CEUR-WS.org, unless the authors instruct us otherwise. ******************* * Important Dates * ******************* Paper submission deadline (EXTENDED): November 6, 2017 Notification of acceptance: November 22, 2017 Camera ready versions: December 1, 2017 Workshop: December 15, 2017 ************************ * Format of Submission * ************************ All papers should be submitted in accordance to the Springer LNCS formatting style (available from the Springer webpage). Submitted papers should not be longer than 13 pages (with the last page exclusively reserved for bibliographic references). ********************* * Program Committee * ********************* Program Committee Co-Chairs: - C. Leon, Complutense University of Madrid - O. Kutz, Free University of Bozen-Bolzano - T. R. Besold, City, University of London Program Committee: - Mohammad Majid Al-Rifaie, Goldsmiths, University of London - Hugo Goncalo Oliveira, University of Coimbra - Kazjon Grace, University of North Carolina - Charlotte - Pablo Gervas, Complutense University of Madrid - Raquel Hervas, Complutense University of Madrid - Bipin Indurkhya, AGH University of Science and Technology - Krakow - Anna Jordanous, University of Kent - Maximos Kaliakatsos-Papakostas, Aristotle University of Thessaloniki - Kai-Uwe Kuehnberger, University of Osnabrueck - Stephen McGregor, Queen Mary University of London - Gonzalo Mendez, Complutense University of Madrid - Alison Pease, University of Dundee - Federico Peinado, Complutense University of Madrid - Enric Plaza, IIIA-CSIC, Barcelona - Tony Veale, University College Dublin - Geraint Wiggins, Queen Mary University of London - Frank van der Velde, University of Twente ************************ * Organizing Committee * ************************ Carlos Leon (chair), Complutense University of Madrid Alberto Diaz, Complutense University of Madrid Federico Peinado, Complutense University of Madrid Gonzalo Mendez, Complutense University of Madrid Javier Gomez, Complutense University of Madrid Pablo Gervas, Complutense University of Madrid Raquel Hervas, Complutense University of Madrid Susana Bautista, Complutense University of Madrid ************************ * Steering Committee * ************************ Tarek R. Besold, City, University of London Oliver Kutz, Free University of Bozen-Bolzano --- Tarek R. Besold, PhD WWW: http://www.cat-ai.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From jtouboul at brandeis.edu Tue Oct 17 06:20:09 2017 From: jtouboul at brandeis.edu (Jonathan D. Touboul) Date: Tue, 17 Oct 2017 12:20:09 +0200 Subject: Connectionists: Postdoctoral positions in theoretical neuroscience Message-ID: <70190158-76E5-4075-8C40-0D788276FD0F@brandeis.edu> Up to two postdoctoral positions are available at Brandeis University to work on exciting problems in theoretical neuroscience (mathematical-neuroscience.net ). Research topics include the analysis of the dynamics of neuron model or neural networks with heterogeneous elements, learning, memory and pathological brain states, as well as the embryonic development of neural assemblies. Techniques include numerical simulations, dynamical systems (with delays, jumps and/or multiple timescales), probabilities and statistical physics. All projects will involve heavy collaboration with experimental groups in Boston area, Paris and abroad. The positions are up to 3 year terms, contingent upon satisfactory progress, with competitive salary and benefits packages. The fellows will participate to the vibrant scholar life in the Boston area. The successful candidates will join the Mathematics Department at Brandeis University (http://www.brandeis.edu/departments/mathematics/ ) with strong ties to the Neuroscience group (http://www.bio.brandeis.edu/ ). Opportunities to teach in the math department could be available and are encouraged! Candidates should have a Ph.D. in mathematics, (computational) neuroscience, physics or engineering and have an excellent track record of scholarship, have experience in dynamical systems and/or stochastic models, and be familiar with computational programing. Applications from under-represented groups are strongly encouraged. Candidates should send their CV, a cover letter indicating their research interests and professional goals, and names and contact information of two references to jtouboul at brandeis.edu . Best wishes, Jon -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at aalto.fi Tue Oct 17 12:17:12 2017 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Tue, 17 Oct 2017 16:17:12 +0000 Subject: Connectionists: 2 Postdoctoral researchers in interactive AI and machine learning Message-ID: <33047B0F-EB3A-4FA6-ABF3-6D7F0707CE97@aalto.fi> 2 Postdoctoral researchers in interactive AI and machine learning The positions belong to the Aalto career system and the selected persons will be appointed for a two-year fixed term appointment with an option for renewal. 1. Probabilistic machine learning with human in the loop (Prof. Samuel Kaski) One of the core questions in machine learning at the moment is how to interact with humans. We turn this question into a probabilistic modelling problem, and model both the user and the task to drive the interaction. The solutions need combinations of probabilistic modelling, reinforcement learning and approximate Bayesian computation. We are looking for a postdoc who already masters some of these and offer an opportunity to learn the rest and work with us on this exciting bleeding-edge problem. Two recent sample papers: [1] Daee et al., Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction. Machine Learning, 106: 1599?1620 (arXiv: 1612.03328) [2] Kangasr??si? & Kaski, Inverse Reinforcement Learning from Summary Data, arXiv:1703.09700 2. Modeling and machine learning in HCI (Prof. Antti Oulasvirta) The position offers an exciting opportunity to learn about and work on applications of machine learning methods and computational models of cognition, perception, and behavior in interactive systems. For relevant previous papers of the team, example papers, see [1], [2], and [3]. [1] IEEE TVCG 2017: http://userinterfaces.aalto.fi/scatterplot_optimization/resources/paper/MicallefEtAl2017towards.pdf [2] CHI 2017: https://dl.acm.org/ft_gateway.cfm?id=3025576&type=pdf [3] IEEE Computer 2017: http://users.comnet.aalto.fi/oulasvir/pubs/UIdesign_with_combinatorial_optimization_IEEEComputer_2017_Oulasvirta.pdf Qualifications Should have a PhD in computer science, statistics, cognitive science, or other area relevant to the themes and publication record in top conferences or journals in machine learning, AI, statistics, cognitive science, or HCI. Good command of English is a necessary prerequisite. Compensation, working hours and place of work The salary for the position is between 3 498 and 3 673 EUR per month depending on experience and qualifications. In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. The annual total workload of teaching staff at Aalto University is 1 600 hours. The position is located at the Aalto University Otaniemi campus. Application material and procedure Please send your application through the electronic recruitment system ?Saima? (see link at the bottom of the page) no later than Oct 31, 2017 Finnish time. Include your CV, list of publications, a brief research statement, transcript of the doctoral studies, and names and contact information of two senior academics willing to give more information. Short-listed candidates may be invited for an interview on the Otaniemi campus of Aalto University in Helsinki or for an interview conducted via Skype. While all applicants who have submitted an application by the deadline will be appropriately considered, Aalto University reserves the right to consider also other candidates for the announced position. Further information ? Professor Samuel Kaski and Professor Antti Oulasvirta, e-mail "firstname.lastname at aalto.fi" (research related information) ? HR Coordinator, Mr. Stefan Ehrstedt, e-mail "firstname.lastname at aalto.fi" (application process, practical arrangements) Application material will not be returned. Espoo, 13 Oct 2017 Aalto University About Aalto University Aalto University is a new university created in 2010 from the merger of the Helsinki University of Technology, Helsinki School of Economics and the University of Art and Design Helsinki. The University?s cornerstones are its strengths in education and research, with 20,000 basic degree and graduate students. These positions are in collaborating groups of the Department of Computer Science and Department of Communications and Networking. About Helsinki The Helsinki Metropolitan area forms a world-class information technology hub, attracting leading scientists and researchers in various fields of ICT and related disciplines. Moreover, as the birthplace of Linux, and the home base of Nokia/Alcatel-Lucent/Bell Labs, F-Secure, Rovio, Supercell, Slush (the biggest annual startup event in Europe) and numerous other technologies and innovations, Helsinki is fast becoming one of the leading technology startup hubs in Europe. See more e.g. at http://www.investinfinland.fi/. As a living and working environment, Finland consistently ranks high in quality of life, and Helsinki, the capital of Finland, is regularly ranked as one of the most livable cities in the world. See more at https://finland.fi and http://www.helsinkitimes.fi/finland/finland-news/domestic/14966-helsinki-ranked-again-as-world-s-9th-most-liveable-city.html From bazhenov at salk.edu Tue Oct 17 19:00:14 2017 From: bazhenov at salk.edu (Maxim Bazhenov) Date: Tue, 17 Oct 2017 16:00:14 -0700 Subject: Connectionists: Postdoctoral position in computational neuroscience at UCSD Message-ID: Applications are invited for post-doctoral research position in the laboratory of Dr. Maxim Bazhenov (http://www.bazhlab.ucsd.edu/) at the University of California, San Diego to study role of sleep in memory and learning. The ultimate goal of the project is to understand how the interaction among brain areas during sleep leads to consolidation of memory for recent learning and how sensory or electrical stimulation can enhance memory consolidation. This project involves close collaboration with several experimental laboratories. The successful candidate will be responsible for the design of the anatomically realistic brain network models based on experimental data. These models will be applied to understand network dynamics that are involved in the processes of memory consolidation, to design optimal stimulation approaches, to guide data analysis and to make predictions for future experimental studies. Qualified applicants are expected to have experience in computational/theoretical neuroscience and neural modeling. Programming experience with C/C++ is required. Knowledge of PYTHON and MATLAB is a significant plus. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov at ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Wed Oct 18 04:57:45 2017 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Wed, 18 Oct 2017 10:57:45 +0200 Subject: Connectionists: Two Post-doc/PhD positions in computational modeling of epilepsy Message-ID: <22431004-D798-4268-9F23-94221911A5B2@fias.uni-frankfurt.de> Two Post-doc/PhD positions are available in the context of Frankfurt's new Center for Personalized Translational Epilepsy Research (CePTER). The project focuses on better understanding circuit changes and neuroimmune interactions during the development of epilepsy and is jointly lead by Profs. Peter Jedlicka and Jochen Triesch. The positions are based at the Frankfurt Institute for Advanced Studies (https://fias.uni-frankfurt.de/en/). Frankfurt has a vibrant Neuroscience community and the successful candidates will work closely together with experimental labs. Ideal candidates will have obtained a PhD/Master Degree in Computational Neuroscience or closely related field and have a strong interest in applying their knowledge to problems of medical relevance. Prior experience with modeling spiking neural networks or compartmental modeling is highly desirable. Experience in modeling epilepsy, neural plasticity and neuro-immune interactions is a plus. Earliest starting date is in January 2018. Review of applications will continue until the positions have been filled. Applications (single pdf file including CV, list of publications, statement of research interests and names and email addresses of three references) should be sent to jedlicka at em.uni-frankfurt.de and triesch at fias.uni-frankfurt.de . Peter Jedlicka and Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From iceis at insticc.info Wed Oct 18 05:08:27 2017 From: iceis at insticc.info (iceis at insticc.info) Date: 18 Oct 2017 10:08:27 +0100 Subject: Connectionists: CFP ICEIS 2018 - 20th Int.l Conf. on Enterprise Information Systems (Funchal, Madeira/Portugal) Message-ID: <20171018090827.94740.14A24774AB0865CC@insticc.info> SUBMISSION DEADLINE 20th International Conference on Enterprise Information Systems Submission Deadline: October 30, 2017 http://www.iceis.org/ March 21 - 24, 2018 Funchal, Madeira, Portugal. ICEIS is organized in 6 major tracks: - Databases and Information Systems Integration - Artificial Intelligence and Decision Support Systems - Information Systems Analysis and Specification - Software Agents and Internet Computing - Human-Computer Interaction - Enterprise Architecture In Cooperation with SWIM, AAAI, ACM SIGAI, ACM SIGCHI, ACM SIGMIS. With the presence of internationally distinguished keynote speakers: Alexander Brodsky, George Mason University, United States Plamen Angelov, Lancaster University, United Kingdom Salvatore Distefano, Universit? degli Studi di Messina, Italy David Aveiro, University of Madeira / Madeira-ITI, Portugal A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, ICEIS Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.iceis.org/ e-mail: iceis.secretariat at insticc.org From mark.humphries at manchester.ac.uk Wed Oct 18 11:00:08 2017 From: mark.humphries at manchester.ac.uk (Mark Humphries) Date: Wed, 18 Oct 2017 15:00:08 +0000 Subject: Connectionists: PhD studentship in the Humphries lab Message-ID: <7E954275ED82B9468C2C731FB72522F5013E0815C2@MBXP09.ds.man.ac.uk> A potentially fully-funded UK/EU PhD studentship project is available in the Humphries lab at the University of Manchester, UK A wide range of neurological disorders, including Parkinson's disease, Huntington's disease and Tourette's syndrome have been linked to the aberrant activity of output neurons in the massive, subcortical striatum. It is unknown how such aberrant activity arises from the changes to the brain known to occur in these disorders. This project will test the hypothesis that the network of fast-spiking interneurons within the striatum are a common cause of this aberrant activity. Please see here for full details: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=84600&LID=1020 And here for how to apply, deadline Friday November 17th 2017: https://www.bmh.manchester.ac.uk/study/research/mrc-dtp/ Any questions please contact Dr Mark Humphries directly (mark.humphries at manchester.ac.uk) _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/ [0da17e2a-9ed5-496a-b161-9fd4491ce5c7]@markdhumphries Public blog: https://medium.com/the-spike -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 597 bytes Desc: image001.png URL: From mathilde.bonnefond at inserm.fr Wed Oct 18 11:19:31 2017 From: mathilde.bonnefond at inserm.fr (Mathilde Bonnefond) Date: Wed, 18 Oct 2017 17:19:31 +0200 Subject: Connectionists: postdoctoral position on the mechanistic role of brain oscillations Message-ID: <48383ca5-3d52-42f3-38f5-4f4d791d4e21@inserm.fr> Dear all, I'm offering a post-doc position on the role of nested oscillations in brain networks communication at the Lyon Neuroscience Research Center (CRNL) starting in February (see attached document). I would be grateful if you could share the attached job offer with interested PhD students and postdocs around you. Thank you very much. Best regards, Mathilde Bonnefond -- Mathilde Bonnefond, PhD Lyon Neuroscience Research Center (CRNL) Inserm-CNRS-University Lyon 1 Dycog group Bron, France -------------- next part -------------- A non-text attachment was scrubbed... Name: PostDocAdvertisment.pdf Type: application/pdf Size: 232069 bytes Desc: not available URL: From terry at salk.edu Wed Oct 18 11:20:58 2017 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 18 Oct 2017 08:20:58 -0700 Subject: Connectionists: NEURAL COMPUTATION - November 1, 2017 In-Reply-To: Message-ID: Neural Computation - Volume 29, Number 10 - November 1, 2017 Available online for download now: http://www.mitpressjournals.org/toc/neco/29/11 ----- Articles Rat Prefrontal Cortex Inactivations During Decision Making Are Explained by Bistable Attractor Dynamics Alex T. Piet, Jeffrey C Erlich, Charles D Kopec, and Carlos D Brody Simultaneous Estimation of Non-Gaussian Components and Their Correlation Structure Hiroaki Sasaki, Michael U. Gutmann, Hayaru Shouno, and Aapo Hyvarinen Letters Blind Nonnegative Source Separation Using Biological Neural Networks Cengiz Pehlevan, Sreyas Mohan, and Dmitri B. Chklovskii Effect of Morphologic Features of Neurons on the Extracellular Electric Potential: A Simulation Study Using Cable Theory and Electro-Quasistatic Equations R. Bestel, R. Appali, U. van Rienen, and C. Thielemann Discrete Sparse Coding Georgios Exarchakis, Jorg Lucke A Robust Regression Framework With Laplace Kernel-induced Loss Liming Yang, Zhuo Ren, Yidan Wang, and Hongwei Dong Sparse Covariance Matrix Estimation by DCA Based Algorithms Hoai An Le Thi, Duy Nhat Phan, and Tao Pham Dinh Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces Liangzhi Chen, Haizhang Zhang An Initialization Method Based on Hybrid Distance for K-means Algorithm Jie Yang, Yan Ma, Xiangfen Zhang, Shunbao Li, and Yuping Zhang ------------ 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 uygars at alleninstitute.org Wed Oct 18 13:26:24 2017 From: uygars at alleninstitute.org (=?UTF-8?B?VXlnYXIgU8O8bWLDvGw=?=) Date: Wed, 18 Oct 2017 10:26:24 -0700 Subject: Connectionists: Postdoc/Scientist in Computational Neuroscience at Allen Institute for Brain Science Message-ID: POSITION SUMMARY: The Allen Institute for Brain Science is engaged in a major effort to understand cell types of the brain. We are seeking to fill a position at the level of Scientist to work on the neuron type identification problem. We generate unprecedented multi-modal, high-throughput datasets that present challenging and interesting cell type classification problems that enable the application of modern machine learning methods, and pose new problems that require the development of novel methods. In addition to the mature mouse cortical cell types program, the Institute's human cortical cell types project has already amassed hundreds of samples. This position will work with the Institute?s quantitative and experimental scientists on high-priority problems involving machine learning that include (i) developing a probabilistic approach to defining cell types, (ii) data fusion for anatomical, physiological, and molecular datasets, (iii) a cross-species correspondence of cell types, and (iv) deep learning based analysis of anatomical data. ESSENTIAL DUTIES & RESPONSIBILITIES: - Participate in team efforts to develop novel neuronal cell type classification algorithms. - Analyze the quality of resulting classifications. - Develop computer vision methods for the analysis of anatomical data. - Participate in a highly interactive and multidisciplinary environment. - Publish/present findings in peer-reviewed journals/scientific conferences. BASIC QUALIFICATIONS: - PhD degree in computational neuroscience, physics, mathematics, applied mathematics, engineering, or related field. - Strong background in scientific computing. PREFERRED QUALIFICATIONS: - Proven independent thinking. - Experience in Bayesian approaches and/or neural networks is preferred. - Experience in computational neuroscience is preferred. - Ability to work in a collaborative environment. To apply, please visit https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=631256&&cust_sort1=29268&nohd#job Uygar S?mb?l Assistant Investigator Allen Institute for Brain Science It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. From tomas.hromadka at gmail.com Wed Oct 18 17:22:54 2017 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Wed, 18 Oct 2017 23:22:54 +0200 Subject: Connectionists: COSYNE 2018: Abstract submission is now open, 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 ==================================================== IMPORTANT DATES Abstract submission is now open. Workshop proposal deadline: 10 November 2017 Abstract submission deadline: 20 November 2017 ---------------------------------------------------- COSYNE ---------------------------------------------------- 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. 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. For more information and details on submitting abstracts please visit Cosyne.org -> Abstracts. 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) 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 ----------------------------------------------- A series of workshops will be held after the main Cosyne meeting. 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 Workshop proposal deadline: 10 November 2017 Format: plain text only, please no attachments, email to workshops [at] cosyne.org (Laura Busse, Ralf Haefner) 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). - A list of confirmed speakers. 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 expcted 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 ckello at ucmerced.edu Thu Oct 19 01:25:22 2017 From: ckello at ucmerced.edu (Chris Kello) Date: Thu, 19 Oct 2017 05:25:22 +0000 Subject: Connectionists: Two tenure-track assistant professor positions at the University of California, Merced Message-ID: Dear Colleagues, The Cognitive Science group at UC Merced (http://cogsci.ucmerced.edu) has two tenure-track positions open, with December 15th as the deadline to apply: Cognitive Neuroscience https://aprecruit.ucmerced.edu/apply/JPF00549 Cognitive and Information Sciences https://aprecruit.ucmerced.edu/apply/JPF00550 Regards, Professor Chris Kello University of California, Merced -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkordjam at tulane.edu Wed Oct 18 21:09:40 2017 From: pkordjam at tulane.edu (Kordjamshidi, Parisa) Date: Thu, 19 Oct 2017 01:09:40 +0000 Subject: Connectionists: CFP Deadline Extension: AAAI-2018 Workshop on Declarative Learning Based Programming References: Message-ID: <08CA8DB3-CA68-4839-B8A9-2B9C1BC7B7D5@tulane.edu> ---------------------------------------------------------------- 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 3, 2018, New Orleans, Louisiana, USA. Website: http://delbp.github.io. Submission Deadline extended to Oct 27th, 2017 --------------------------------------------------------------- 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 20th, 2017 => extended to Oct 27th, 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. ------------------------------------------- -- You received this message because you are subscribed to the Google Groups "delbp_3" group. To unsubscribe from this group and stop receiving emails from it, send an email to delbp_3+unsubscribe at googlegroups.com. To post to this group, send email to delbp_3 at googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/delbp_3/CD008D23-B392-404A-B166-1E279CA2A8C1%40tulane.edu. For more options, visit https://groups.google.com/d/optout. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dominik.endres at uni-marburg.de Thu Oct 19 10:50:13 2017 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Thu, 19 Oct 2017 16:50:13 +0200 Subject: Connectionists: PhD on Bayesian and associative learning in Marburg (application deadline 03. November 2017) Message-ID: <1541217.AYh4O9Ml3A@pc04174> PhD Position in project 12 in the GRK 2271 in Marburg, Germany. The Department of Psychology is currently accepting applications for a PhD position. The successful candidate will work under the supervision of Dr Anna Thorwart and receive training as a PhD student in the project "Can current Bayesian and associative models of learning explain individual differences in retrospective revaluation? Answers from behavioral experiments". This is Project No 12 of the newly funded DFG Research Training Group 2271 at the Psychology department and will be run in close collaboration with Project No 2, supervised by Prof Dominik Endres. The RTG emphasizes (1) multi-disciplinary research, (2) supportive supervision, (3) an optimal social and local infrastructure, and (4) internationalization. More information about the projects can be found at http://uni-marburg.de/HW4DB . The starting date is as soon as possible. The position is offered for a period of 3 years, assuming the candidate has not previously worked at a German institution of higher education or research facility. The position is part-time (65 % of regular working hours) with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13, 65 %). Duties include the independent development of research questions according to project 12's topic as well as the planning, conducting, and analyzing of human behavioral experiments, contributions to scientific publications, as well as regular participation in and an active contribution to the RTG's qualification program. As part of the assigned duties, the independent scientific research necessary for the completion of the doctor-ate will be conducted. Formal requirement is an excellent degree (Master, Diploma, or comparable) in psychology, cognitive science, computer science, engineering, biology or physics. The successful candidate also needs to demonstrate an interest in the topic of the project and experience of conducting experimental research (preferably, behavioral experiments with human or animals). Both should be documented in a motivation letter (1 page max), in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc. You should also have an interest in quantitative modelling and be able to demonstrate first programming experience in e.g. Python or Matlab. Prior exposure to associative, Bayesian or other mathematical learning models and experience and interest in developing virtual-reality scenarios and technology for research purposes are advantageous. For further details, please see attached job posting. Feel free to contact project's principal investigator Dr. Anna Thorwart, anna.thorwart at uni-marburg.de, for more information. Please send your application (including a project-specific motivation letter in English, curriculum vitae, copies of relevant diplomas) mentioning reference no. fb04-0038-wmz-2017 as a single PDF file to anna.thorwart at uni-marburg.de before 03. November 2017. -- Dr. Anna Thorwart Allgemeine und Biologische Psychologie | Assoziatives Lernen Philipps-Universitaet Marburg, FB Psychologie, Gutenbergstrasse 18, 35032 Marburg Buero: Raum 01041 | Tel: +49 (0)6421/28-23670 | Fax: +49 (0)6421/28-26621 -------------- next part -------------- A non-text attachment was scrubbed... Name: fb04-0038-wmz-031117-engl.pdf Type: application/pdf Size: 155881 bytes Desc: not available URL: From ted.carnevale at yale.edu Thu Oct 19 11:38:31 2017 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Thu, 19 Oct 2017 11:38:31 -0400 Subject: Connectionists: final schedule for workshop on high performance computing in neuroscience Message-ID: <9d02cbd5-cff0-956f-c025-d70c1d4fb1ab@yale.edu> The final schedule for the workshop on high performance computing in neuroscience, which will be held November 11 from 8:30 AM to 12:30 PM at the 2017 meeting of the Society for Neuroscience, is now available at http://www.nsgportal.org/SFN2017_workshop.html --Ted From education at humanbrainproject.eu Fri Oct 20 02:06:59 2017 From: education at humanbrainproject.eu (HBP Education) Date: Fri, 20 Oct 2017 08:06:59 +0200 Subject: Connectionists: 2nd HBP Student Conference: Call for submissions Message-ID: <9F07BE93-0A25-498E-8EC9-EC4899D0E94B@humanbrainproject.eu> Dear all, In February 2018, the Education Programme Office of the Human Brain Project will organise its 2nd HBP Student Conference in Ljubljana, Slovenia under the title ?Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science?. Please find some general information about the conference below and in the attached PDF files. Best regards, The HBP Education Programme Office Theresa Rass HBP Education Programme Project Assistant Medical University Innsbruck (MUI) M?llerstra?e 59, 6020 Innsbruck, Austria Phone Office: +43 512 9003 71246 Mobile Phone: +43 676 871672246 Email: education at humanbrainproject.eu Follow us on Twitter, Facebook and LinkedIn! 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 2nd HBP Student Conference: Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science 14-16 February 2018, Ljubljana, Slovenia https://education.humanbrainproject.eu/web/2nd-hbp-student-conference Description In the context of the 2nd HBP Student Conference, young researchers from the fields of neuroscience, brain medicine and computer science receive the possibility to exchange ideas and perspectives and discuss various aspects of their particular fields of expertise relevant to the Human Brain Project. The conference offers a variety of discussion sessions, lectures and social events. Through working across boundaries and linking the various fields, it serves as a platform for both intra- and interdisciplinary exchange and is a great opportunity for extensive scientific discussions among peers and faculty, and also a fertile soil for new, innovative ideas. Conference structure Keynote lectures Discussion sessions Student talks Poster presentations Discussion panel Social events We are looking for original high-quality submissions containing innovative research from all fields relating to the HBP research programme. Contributions emphasising theoretical and empirical foundations are just as welcome as new approaches to specific questions concerning the Subprojects of the HBP. Finally, we particularly encourage submissions introducing new and relevant problems, concepts and ideas with the potential to inspire the research community ? even if the approach is at an early stage of development. All participants may submit an abstract and will have the opportunity to present their work. Presentations will include a brief oral presentation, a poster, or both. Abstracts to be submitted before 11 October 2017. Childcare will be offered during the conference. Participants have to indicate in the registration form if this service is required. Scientific Committee Andrea Santuy | UPM Nikola Simidjievski | JSI Marcelo Armendariz | KUL Petru? Bogdan | UMAN Carlos Canova | JUELICH Claudia Modenato | CHUV Agata Mosinska | EPFL Organised by HBP Education Programme Office Upcoming Deadlines Abstract submission: 25 October 2017 Online registration closes: 31 January 2018 Contact HBP Education Programme Office Medical University Innsbruck Center of Psychiatry and Psychotherapy M?llerstra?e 59, 6020 Innsbruck, Austria Phone: +43 512 9003 71245 E-mail: education at humanbrainproject.eu Website: https://education.humanbrainproject.eu/web/2nd-hbp-student-conference The venue The conference will take place at the Central Post Office in Ljubljana. The Central Post Office is a late 19th-century building along the main street in the city centre, Slovenska. Its immediate neighbours are the Slon Best Western Hotel and the Nama department store, while the busy pedestrian ?opova Street separates it from the Old Town. The building features a particular function space ? the Atrium, which is an attractive setting for receptions, banquets and other events. Its style slightly resembles the atrium of the National Museum, as the two buildings were created at about the same time. Ljubljana, the capital of Slovenia, has a population of about 287.000 and ranks as one of the smaller European capitals. Thanks to more than 50,000 university students, this city with a history of several thousand years and an average population age of 41 years has an incredibly youthful feel. Harmonious coexistence of tradition and contemporaneity can be seen on many levels, from the city's diverse cultural production and creative society to its culinary art. Speakers confirmed Radoslaw Cichy | FU Berlin Isabel Fernaud | UPM Marc-Oliver Gewaltig | EPFL Thomas Heinis | ICL Cecilia Laschi | SSSA Anthony Randal McIntosh | U Toronto Gemma Roig | MIT, SUTD Arleen Salles | UU Katharina Schiederig, Jessica Gedamu, Uta Kletzing | EAF Berlin Keywords Neuroscience Brain Medicine Computer Science -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Programme_Abstract_extended_2nd Conf_v3_170926_MG.pdf Type: application/pdf Size: 937457 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2nd HBP Student Conference 2018_171020_TR.pdf Type: application/pdf Size: 352680 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: From joern.diedrichsen at googlemail.com Fri Oct 20 22:19:13 2017 From: joern.diedrichsen at googlemail.com (=?utf-8?Q?J=C3=B6rn_Diedrichsen?=) Date: Fri, 20 Oct 2017 22:19:13 -0400 Subject: Connectionists: Two Tenure-Track Faculty Positions in Computational Neuroscience at Western University Message-ID: Two Probationary (Tenure-Track) Faculty Positions in Computational Neuroscience The Faculty of Science at Western University is inviting applications for two probationary (tenure-track) faculty positions at the rank of Assistant or Associate Professor in Computational Neuroscience. These unique appointments are initially funded through BrainsCAN (brainscan.uwo.ca ), a $66M initiative funded by the Canada First Research Excellence Fund at Western University, and allow a research-intensive focus for the first 5 years of the appointment. Successful candidates will be provided a yearly research budget for this period, and will be eligible for further internal funding including research accelerator awards, and support for postdoctoral research fellows and PhD students. Applicants must have a Ph.D. or equivalent degree and be recognized internationally for excellence in computational neuroscience research. The ideal candidates will develop and apply computational and statistical data analysis methods to the modeling of neurophysiological, behavioral, or neuroimaging data in order to significantly contribute to the advancement of neuroscience. Candidates with either theoretical or empirical research programs are encouraged to apply. The position will commence on July 1, 2018 or as negotiated. The successful candidates will become members of the Brain and Mind Institute (www.uwo.ca/bmi ) and will work in the highly collaborative environment in neuroscience, a key area of research strength at Western University. The BMI has 30 Principal Investigators working in the areas of behavioral, cognitive and clinical neuroscience, nearly 200 trainees, and an interdisciplinary neuroscience graduate program. Facilities at Western include a full range of ultra-high field, research-only, MRI scanners (3T, 7T, 9.4T) and state of-the-art laboratories for cognitive, behavioral, and neurophysiological testing in humans, nonhuman primates and rodents. The successful candidates will be appointed into one, or more, of either the Department of Statistical & Actuarial Sciences (www.uwo.ca/stats ), the Department for Applied Mathematics (www.uwo.ca/apmaths ), and the Department of Computer Science (www.csd.uwo.ca ) as appropriate, in the Faculty of Science at Western (www.uwo.ca/sci ). Applications will be accepted until the positions are filled. Review of applications will begin on December 1st, 2017. For full details, please visit: http://www.uwo.ca/brainscan/work_with_us/vacancies/computational_neuroscience__probationary_faculty_positions.html J?rn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics jdiedric at uwo.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Mon Oct 23 06:36:56 2017 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Mon, 23 Oct 2017 11:36:56 +0100 Subject: Connectionists: Extended deadline: DMKD - Special Issue on Data Mining for Geosciences Message-ID: Please distribute (Apologies for multiple posting) ------------------------------------------------------------------------------- Data Mining and Knowledge Discovery Springer (www.springer.com/10618) Final Call for Papers 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 * *Extended deadline*: 8th 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 athttps://goo.gl/f8jDHw. For further information please refer to the special issue homepage at 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 amcosconference at upf.edu Mon Oct 23 09:52:52 2017 From: amcosconference at upf.edu (AMCOS Conference) Date: Mon, 23 Oct 2017 15:52:52 +0200 Subject: Connectionists: Complex Oscillatory System conference AMCOS, Barcelona March 2018 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 20th, 2017*. More info at amcosconference.com. *Date and Venue* March 19, 2018 March 20 - 23, 2018 PRBB , Biomedical Research Park of Barcelona *List of speakers* (*TBC) - Peter Ashwin, - Ernest Barreto, - Ginestra Bianconi*, - Raffaella Burioni, - Dante R. Chialvo, - Gustavo Deco, - 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, - Damian 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 avellido at lsi.upc.edu Mon Oct 23 10:20:10 2017 From: avellido at lsi.upc.edu (Alfredo Vellido) Date: Mon, 23 Oct 2017 16:20:10 +0200 Subject: Connectionists: FINAL CFP: NIPS 2017 "Transparent and Interpretable Machine Learning in Safety Critical Environments" Workshop Message-ID: *** apologies for cross-posting *** *FINAL 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. inte 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** *DARIO AMODEI - Research Scientist, OpenAI FINALE DOSHI-VELEZ - Assistant Professor of Computer Science, Harvard ANCA DRAGAN - Assistant Professor, UC Berkeley BARBARA HAMMER - Professor at CITEC Centre of Excellence, Bielefeld University SUCHI SARIA - Assistant Professor, Johns Hopkins University ADRIAN WELLER - Computational and Biological Learning Lab, University of Cambridge and Alan Turing Institute. -------------- next part -------------- An HTML attachment was scrubbed... URL: From serge.thill at his.se Tue Oct 24 05:52:08 2017 From: serge.thill at his.se (Serge Thill) Date: Tue, 24 Oct 2017 09:52:08 +0000 Subject: Connectionists: Fwd: BMVA Technical meeting : 2nd CfP Cognitively inspired explainable perception-based AI References: Message-ID: <94C63C94-8FB6-41B5-B924-70FEEB83F2B0@his.se> Apologies for cross-posting - the meeting below may be interesting to some of you. cheers, Serge Begin forwarded message: From: Andrew Gilbert > Subject: Re: BMVA Technical meeting : 2nd CfP Cognitively inspired explainable perception-based AI Date: 19 October 2017 at 16:19:57 BST To: > Reply-To: > BMVA Technical Meeting: Cognitively inspired explainable perception-based AI One Day BMVA symposium in London, UK on Wednesday 7th Feburary 2018 Chairs: Serge Thill, University of Plymouth, Maria Riveiro, University of Sk?vde, Keynote speakers: Alessandra Sciutti, Italian Institute of Technology, Brad Hayes, University of Colorado Boulder & Yiannis Demiris, Imperial College, www.bmva.org/meetings Call for Papers: AI systems are increasingly present in everyday society, from simple computer systems to agents such as autonomous vehicles or social robots. In this context, several researchers have noted that it is critical to understand how human users perceive such systems - in particular, the degree to which they understand how the system works, and what mental models they build of the underlying algorithms. "Explainable AI" thus refers to AI systems that behave or provide the necessary information so that their working becomes comprehensible to the human user. For this meeting, we are interested in AI systems that operate at least somewhat autonomously based on real-world sensory data (in particular, based on machine vision). This includes robotics and autonomous vehicles, but can also cover disembodied systems such as decision support systems. We are particularly interested in contributions that give detailed consideration to the fact that these are AI systems that sense (often through machine vision) the environment, and consider the possible role of understanding human cognitive mechanisms in the design of such systems. Relevant human cognitive mechanisms could include, for example, how humans perceive and interpret information themselves (which may be relevant in the design of explainable information processing by a machine) or how they interact with other intelligent agents (including their expectations on such interactions), which may impose constraints on the design of explainable systems that may be perceived as an intelligent, interactive agent by human users. Submission Deadline: All those interested in presenting at this meeting are invited to submit a summary of their talk at https://goo.gl/forms/OByON7vvlUX0xtDt1 by 1 Dec 2017 [firm deadline]. For queries please contact the organisers: serge.thill at plymouth.ac.uk, maria.riveiro at his.se Registration: Book online at www.bmva.org/meetings ?16 for BMVA Members, ?36 for Non Members, including lunch Thanks for reading Andrew Gilbert -------------- next part -------------- An HTML attachment was scrubbed... URL: From jbaimon at sandia.gov Tue Oct 24 16:21:50 2017 From: jbaimon at sandia.gov (Aimone, James Bradley) Date: Tue, 24 Oct 2017 20:21:50 +0000 Subject: Connectionists: NICE Workshop 2018 Call for Abstracts Message-ID: Dear colleagues, The abstract call for NICE 2018 is now open: https://easychair.org/cfp/NICE_2018 Abstracts due: November 15, 2017 The 2018 Neuro-Inspired Computing Elements (NICE) Workshop is the 6th annual meeting of researchers in the neural computing field. Like previous workshops, NICE 2018 will focus on the interplay between neural theory, neural algorithms, neuromorphic architectures and hardware, and applications for neural computing technology. NICE aims to involve diverse participation from all over the world and bring together research communities with universities, government, and industry. We are asking for extended abstracts of two pages, with emphasis on novel results in brain-inspired neural algorithms for machine learning, neural computing architectures and hardware, theoretical neuroscience, and applications of neural computing. Event dates are Feb. 27-Mar.1, 2018, and this year the workshop is being hosted by Intel, at their Hillsboro, Oregon site. Registration and accommodation details will be available on the event website (niceworkshop.org) by end of October. Looking forward to seeing everyone in Hillsboro, Feb.27th. Brad Aimone -------------- next part -------------- An HTML attachment was scrubbed... URL: From kashefy at ni.tu-berlin.de Wed Oct 25 10:21:18 2017 From: kashefy at ni.tu-berlin.de (Youssef Kashef) Date: Wed, 25 Oct 2017 16:21:18 +0200 Subject: Connectionists: PhD Position: Reinforcement Learning and Decision Making under Uncertainty Message-ID: Neural Information Processing Group, Fakult?t IV, Technische Universit?t Berlin & Bernstein Center for Computational Neuroscience PhD Position: Reinforcement Learning and Decision Making under Uncertainty ========================================================================== The successful candidate is expected to join collaborative projects at the interface between computational neuroscience and machine learning (research topics: reinforcement learning and decision making under uncertainty). The position is affiliated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/), and the candidate is welcome to participate in its scientific and training activities. Teaching responsibilities include the supervision of two tutorials per week during the semester associated with the courses taught by the Neural Information Processing Group (http://www.ni.tu-berlin.de/). Starting date: January 1st, 2018 Salary level: E-13 TV-L The position is for a period of maximally of five years. Candidates should hold a recent Master degree and should have very good knowledge in the computational neuroscience and machine learning fields. Application material (CV, abstract of the Master thesis, copies of certificates and two letters of reference) should be sent to: Prof. Dr. Klaus Obermayer MAR 5-6, Technische Universit?t Berlin, Marchstrasse 23, 10587 Berlin, Germany http://www.ni.tu-berlin.de/ klaus.o... at tu-berlin.de preferably by email. All applications received before November 11th 2017 will be given full consideration, but applications will be accepted until the position is filled. To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. -------------- next part -------------- An HTML attachment was scrubbed... URL: From P.Tino at cs.bham.ac.uk Wed Oct 25 14:22:20 2017 From: P.Tino at cs.bham.ac.uk (Peter Tino) Date: Wed, 25 Oct 2017 19:22:20 +0100 Subject: Connectionists: Fully Funded PhD Studentship - Machine Learning and Astronomy - Marie Sklodowska-Curie Early Stage Researcher (University of Birmingham, UK) Message-ID: <73175faa-4702-1d39-6744-e653987b6c71@cs.bham.ac.uk> Interested in challenging inter-disciplinary work involving machine learning? SUNDIAL Horizon 2020 Initial Training Network (www.astro.rug.nl/~sundial/index.html) offers a unique opportunity for early stage researchers to develop into mature interdisciplinary scientist. You will be part of 9 research groups across Europe aiming to develop novel computational methodologies to study databases coming from current-day telescopes in order to better understand galaxy formation and evolution, and to prepare for the huge missions of the next decade. Linking detailed astrophysical simulations of galaxy and galaxy cluster formation and evolution with observations requires development of dedicated tools in the frameworks of machine learning, natural computation and probabilistic modelling. The position is suitable for trained astronomers with keen interest in machine learning and computational methods (no deep prior knowledge is required), or for computer scientists eager to face a challenging interdisciplinary project (again no deep prior knowledge of astronomy is required). For details and formal application, please see: http://www.jobs.ac.uk/job/BFE071/marie-sklodowska-curie-early-stage-researcher-sundial-57207/ Informal enquiries can be made to: Peter Tino; p.tino at cs.bham.ac.uk -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 , fax: 414 4281 http://www.cs.bham.ac.uk/~pxt/ From bremeseiro at udc.es Thu Oct 26 05:54:55 2017 From: bremeseiro at udc.es (Beatriz Remeseiro =?utf-8?Q?L=C3=B3pez?=) Date: Thu, 26 Oct 2017 11:54:55 +0200 (CEST) Subject: Connectionists: CFP for the special session on "Big Visual Data: Challenges and Applications" at ICIAR'18 In-Reply-To: <172857888.9129697.1509011652120.JavaMail.zimbra@udc.es> Message-ID: <898738601.9129946.1509011695118.JavaMail.zimbra@udc.es> [Apologies if you receive multiple copies of this CFP] Call for papers: special session on " Big Visual Data: Challenges and Applications " at ICIAR 2018 15th International Conference on Image Analysis and Recognition (ICIAR 2018) June 27-29, 2018 - P?voa de Varzim (Portugal) - https://www.aimiconf.org/iciar18/ Big Visual Data: Challenges and Applications Organized by: Beatriz Remeseiro (University of Oviedo, Spain), Veronica Bolon-Canedo (University of A Coru?a, Spain), Martin Kampel (Vienna University of Technology, Austria) Visual data is massively stored and processed by different agents in the industrial world, whilst people have changed the way in which they acquire and transmit both images and videos as part of their daily routines. This unprecedented amount of visual data has created new research opportunities and technological challenges. In this context, the combination of computer vision and big data has become an active area of research finding success in many different domains. This special session is focused on large scale computer vision algorithms and large scale machine learning techniques that address the problems derived from the increasing visual data availability. Additionally, it pursues to offer a meeting opportunity for academics and researchers to present their cutting-edge approaches to deal with large scale vision problems and identify unique challenges that need to be faced. We invite authors to contribute with their recent advances derived from the availability of huge amounts of visual data, as well as review papers with the state-of-art techniques and the open challenges encountered in this field. In particular, topics of interest include, but are not limited to: * Novel algorithms able to understand big visual data and exploit noisy annotations. * Scalable algorithms and efficient methods that can handle big visual data. * Visual models and feature representations of images and videos. * Deep learning algorithms applied to solve image analysis and recognition problems. * Benchmarks, datasets or data repositories with large volumes of visual data. * Applications and services: multimedia technologies, medical informatics, video surveillance, marking, etc. SUBMISSION PROCEDURE: Authors are invited to submit full papers showing original research contributions. The conference proceedings will be published in the Springer Lecture Notes in Computer Science series (Springer LNCS). Prospective authors should submit an electronic copy of their complete manuscript through the ICIAR 2018 submission system by January 22, 2018, selecting the special session topic in their submission. All submitted papers will be reviewed by at least two independent reviewers. For more information please go to https://www.aimiconf.org/iciar18 . IMPORTANT DATES: Paper submission deadline: January 22, 2018 Author notification: March 12, 2018 Camera-ready version: March 26, 2018 Paper registration: April 2, 2018 ICIAR conference: June 27-29, 2018 PROGRAM COMMITTEE: Brais Cancela, INESC TEC, Portugal Javier Traver, Universitat Jaume I, Spain Mariella Dimiccoli, Universitat de Barcelona, Spain Nicola Strisciuglio, University of Groningen, Netherlands Noelia Barreira, Universidade da Coru?a, Spain Peter Roth, Graz University of Technology, Austria Robert Sablatnig, Vienna University of Technology, Austria -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Thu Oct 26 07:18:03 2017 From: alessandra.sciutti at gmail.com (Alessandra Sciutti) Date: Thu, 26 Oct 2017 13:18:03 +0200 Subject: Connectionists: Final CfP for Advances on View-Invariant motion RepresenTation and UndErstanding (VIRTUE) at VISAPP 2018 Message-ID: <007b01d34e4c$1757afe0$46070fa0$@gmail.com> CALL FOR PAPERS ???????????????????????????????????????????? VIRTUE - Advances on View-Invariant motion RepresenTation and UndErstanding Within the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP 2018 http://www.visigrapp.org/VIRTUE.aspx ???????????????????????????????????????????? AIM AND SCOPE Understanding actions from different points of view and taking the perspective of others is a fundamental ability humans often leverage for interaction. However for machines the task remains considerably challenging. When projected onto different images planes, in fact, a 3D motion may change severely, increasing the complexity of successfully matching motion descriptors of the same actions observed from different viewpoints. Nevertheless, this ability is a key to address motion understanding tasks in unconstrained, real world situations. Differently from laboratory settings, commonly used for methods evaluation, the expected relative position between observer and actor can not be definite and more importantly is unfixed. This special session aims at gathering contributions on the challenging task of view-invariant motion representation and understanding. Topics of interest include but are not limited to: - View-invariant motion segmentation and representation - View-invariant motion primitives - Actions/gestures/activities recognition across views - Machine learning methods (especially transfer and deep strategies) for motion understanding across views - Multi-view systems CHAIRS Francesco Rea, Istituto Italiano di Tecnologia, Genova Nicoletta Noceti, Universit? degli Studi di Genova Alessandra Sciutti, Istituto Italiano di Tecnologia, Genova IMPORTANT DATES Paper Submission: November 7, 2017 Authors Notification: November 21, 2017 Camera Ready and Registration: November 29, 2017 PAPER SUBMISSION Prospective authors are invited to submit papers in any of the topics listed above. Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates Please also check the Guidelines. Papers must be submitted electronically via the web-based submission system using the appropriated button on the special session webpage ( http://www.visigrapp.org/VIRTUE.aspx). PUBLICATIONS After thorough reviewing by the special session program committee complemented by members of the main conference program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on CD-ROM support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus. SCITEPRESS is a member of CrossRef ( http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier). All papers presented at the conference venue will be available at the SCITEPRESS Digital Library Selected papers addressing large scale visual computing problems will be invited to submit extended versions of their papers to a Special Issue of the Frontiers in Robotics and AI journal. CHAIRS CONTACTS francesco.rea at iit.it nicoletta.noceti at unige.it alessandra.sciutti at iit.it SECRETARIAT CONTACTS VISIGRAPP Special Sessions - VIRTUE 2018 e-mail: visigrapp.secretariat at insticc.org Dr. Nicoletta Noceti DIBRIS - Dept. of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genova via Dodecaneso 35, 16146 Genova-IT Room 226 Tel. +39 010 3536626 Fax +39 010 3536699 https://sites.google.com/site/nicolettanoceti/ http:///www.slipguru.unige.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhallabhinav at gmail.com Fri Oct 27 09:45:57 2017 From: dhallabhinav at gmail.com (abhinav dhall) Date: Fri, 27 Oct 2017 19:15:57 +0530 Subject: Connectionists: CFP: Workshop on Large scale Emotion Recognition (LERA) at IEEE FG18 Message-ID: [apologies if you received multiple copies] ---------------------------------------------------------------------------- --------- Call for papers First Workshop on Large scale Emotion Recognition (LERA), IEEE Automatic Faces & Gesture Recognition 2018, Xi?an, China. https://sites.google.com/view/lera2018 ---------------------------------------------------------------------------- --------- With the advancement in social computing, multimedia, and sensing technology, the amount of emotionally relevant data has grown enormously. It becomes crucial for the affective computing community to develop new methods for understanding emotion conveyed by the media and the emotion felt by the user at a large scale. This workshop invites researchers to submit their original work proposing methods to create data and new methodologies for large-scale analysis. Much development has been observed in the computer vision community after large-scale databases such as the ImageNet and MS COCO have been released. The first LERA workshop at FG'18 aims to transfer current research focus on small-scale, lab based environment to real-world, large-scale corpus. Topics for the workshop include but are not limited to: 1. Large scale data collection and annotation 2. Large scale emotion recognition in the wild 3. Big data approaches for emotion recognition 4. Face tracking and affect analysis in videos 5. Group-level emotion recognition 6. Fusion techniques for audio-visual/physiological signals 7. Localization & identification of salient affect signals 8. Applications in education, entertainment & healthcare Timeline: Paper submission deadline: 9th January 2018 Paper acceptance notification: 7th February 2018 Camera ready deadline: 15th February 2018 Organizers: Abhinav Dhall, Indian Institute of Technology, Ropar Yelin Kim, State University of New York, Albany Qiang Ji, Rensselaer Polytechnic Institute -- Abhinav Dhall, PhD Assistant Professor, Indian Institute of Technology, Ropar Webpage: https://goo.gl/5LrRB7 Google Scholar: https://goo.gl/iDwNTx -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc.dymetman at naverlabs.com Fri Oct 27 11:47:29 2017 From: marc.dymetman at naverlabs.com (Marc Dymetman) Date: Fri, 27 Oct 2017 17:47:29 +0200 Subject: Connectionists: Internship offer - Naver Labs Europe : Globally-driven Training Techniques for Neural Machine Translation Message-ID: <005401d34f3a$e77a3640$b66ea2c0$@naverlabs.com> http://www.europe.naverlabs.com/NAVER-LABS-Europe/Internships The NLP (Natural Language Processing) area of NLE (NAVER LABS Europe, Grenoble; previously XRCE: Xerox Research Centre Europe) is opening a research internship with the goal of developing training techniques for Neural Machine Translation (NMT) going beyond traditional perplexity minimization approaches typical of most NMT systems. The intern will explore and implement techniques that are able to globally assess system translations and to use their observations to improve the parameters of the underlying neural models. Possible approaches towards this goal may involve combinations of Prior Features, GANs, and Reinforcement Learning. The project will be conducted inside the Neural Machine Translation research activity at NLE, in relation with a business team responsible for a translation application (smartphones, computers) which already has a large userbase in East Asia. The successful candidate should be enrolled in a graduate program, at the Master or (preferably) PhD level, with a focus on Deep Learning, NLP, and (ideally) Neural Machine Translation. Strong programming skills and familiarity with one of the major current deep learning toolkits (TensorFlow, PyTorch, Keras, .) are a requirement. Publication of results in major conferences/journals will be strongly encouraged. Start Date: around January 2018 Duration: 4-5 months To apply, please send a mail and CV to Ioan Calapodescu and Marc Dymetman (see internship page) -------------- next part -------------- An HTML attachment was scrubbed... URL: From renan.moioli at gmail.com Mon Oct 30 14:14:58 2017 From: renan.moioli at gmail.com (Renan Moioli) Date: Mon, 30 Oct 2017 15:14:58 -0300 Subject: Connectionists: CFP: IEEE CEC 2018 -- Special Session on Evolutionary Robotics Message-ID: (apologies if you received multiple copies) ------------------------------------------------------------------------ IEEE CEC 2018 -- Special Session on Evolutionary Robotics ------------------------------------------------------------------------ Rio de Janeiro, Brazil. 8-13 July, 2018 CALL FOR PAPERS General Chairs: -------------------- Renan C. Moioli (ELS-IIN - Brazil) Patricia A. Vargas (Heriot-Watt University - United Kingdom) Micael Couceiro (Ingenarius, Ltd - Portugal) Josh Bongard (University of Vermont - USA) Phil Husbands (University of Sussex - United Kingdom) Website: http://sites.google.com/a/isd.org.br/cec18er/ Evolutionary Robotics (ER) aims to apply evolutionary computation techniques to automatically design the control and/or hardware of both real and simulated autonomous robots. Its origins date back to the beginning of the nineties and since then it has been attracting the interest of many research centres all over the world. ER techniques are mostly inspired by existing biological architectures and Darwin?s principle of selective reproduction of the fittest. Evolution has revealed that living creatures are able to accomplish complex tasks required for their survival, thus embodying cooperative, competitive and adaptive behaviours. Having an intrinsic interdisciplinary character, ER has been employed towards the development of many fields of research, among which we can highlight neuroscience, cognitive science, evolutionary biology and robotics. Hence, the objective of this special session is to assemble a set of high-quality original contributions that reflect and advance the state-of-the-art in the area of Evolutionary Robotics, with an emphasis on the cross-fertilization between ER and the aforementioned research areas, ranging from theoretical analysis to real-life applications. Papers Publication: ------------------------- Papers accepted to this special session track will be published in the IEEE CEC proceedings. Paper Submission: ------------------------ Submissions should follow the guidance given on the IEEE CEC 2018 conference website: http://www.ecomp.poli.br/~wcci2018/submissions/#papersubmission When submitting, please select in the submission system the respective special session title under the list of Main research topic: Evolutionary Robotics. All submissions will be peer-reviewed with the same criteria used for other contributed papers. All accepted papers will be included and published in the conference proceedings. Topics of interest include (but are not restricted to): ------------------------------------------------------------------- . Evolution of robots that display minimal cognitive behaviour, learning, memory, spatial cognition, adaptation or homeostasis. . Evolution of neural controllers for robots, aimed at giving an insight to neuroscientists, evolutionary biologists or advancing control structures. . Evolution of communication, cooperation and competition, using robots as a research platform. . Co-evolution and the evolution of collective behaviour. . Evolution of morphology in close interaction with the environment, giving rise to self-reconfigurable, self-designing, self-healing, self-reproducing, humanoid and walking robots. . Evolution of robot systems aimed at real-world applications as in aerial robotics, space exploration, industry, search and rescue, robot companions, entertainment and games. . Evolution of controllers on board real robots or the real-time evolution of robot hardware. . Novel or improved algorithms for the evolution of robotic systems, including deep artificial neural networks . The use of evolution for the artistic exploration of robot design. . Bio-mimetic and hybrid approaches to evolutionary robotics Important Dates: ---------------------- Paper Submission: January 15, 2018 Notification of Acceptance: March 15, 2018 Camera-Ready Submission: May 1, 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From lee at icml.cc Mon Oct 30 16:11:24 2017 From: lee at icml.cc (Lee Campbell) Date: Mon, 30 Oct 2017 13:11:24 -0700 Subject: Connectionists: ICML 2018 Call for Papers Message-ID: ICML 2018 Call for Papers The 35th International Conference on Machine Learning (ICML 2018) will be held in Stockholm, Sweden from July 10th to July 15th, 2018. The conference will consist of one day of tutorials (July 10), followed by three days of main conference sessions (July 11-13), followed by two days of workshops (July 14-15). We invite submissions of papers on all topics related to machine learning for the conference proceedings, and proposals for tutorials and workshops. This year, ICML will adopt a single reviewing cycle, with a single paper deadline on February 9th, 2018, 23:59 Universal Time (3:59pm Pacific Daylight Time) Submissions will open on January 9th, 2018 and are managed through CMT: https://cmt.research.microsoft.com/ICML2018/Default.aspx Submitted papers can be up to eight pages long, not including references, and up to ten pages when references and acknowledgments are included. Any paper exceeding this length will automatically be rejected. Authors have the option of submitting a supplementary file containing further details of their work; it is entirely up to the reviewers to decide whether they wish to consult this additional material. The supplementary material must be submitted as a zip file, even if it only contains a single PDF document. All submissions must be electronic, anonymized and must closely follow the formatting guidelines in the templates; otherwise they will automatically be rejected. Dual Submission Policy It is not appropriate to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule: 1. Submission is permitted of a short version of a paper that has been submitted to a journal, but has not yet been published in that journal. Authors must declare such dual-submissions either through the CMT submission form, or via email to the program chairs (icml2018pc at gmail.com). It is the author?s responsibility to make sure that the journal in question allows dual concurrent submissions to conferences. 2. Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings (e.g., ICML or NIPS workshops), or with only abstracts published. 3. Submission is permitted for papers that are available as a technical report (or similar, e.g., in arXiv). In this case we suggest the authors not cite the report, so as to preserve anonymity. Finally, note that previously published papers with substantial overlap written by the authors must be cited in such a way so as to preserve author anonymity. Differences relative to these earlier papers must be explained in the text of the submission. For example, (This work develops [our earlier work], which showed that). Reviewing Criteria Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact. Program Chairs: Jennifer Dy (Northeastern University) Andreas Krause (ETH Zurich) General Chair: Francis Bach (INRIA / Ecole Normale Sup?rieure) -------------- next part -------------- An HTML attachment was scrubbed... URL: From salah at boun.edu.tr Tue Oct 31 02:45:24 2017 From: salah at boun.edu.tr (Albert Ali Salah) Date: Tue, 31 Oct 2017 15:45:24 +0900 Subject: Connectionists: CFP: HBU 2018 at IEEE Face & Gesture Message-ID: CALL FOR PAPERS: 8th Int. Workshop on Human Behavior Understanding (HBU) in conjunction with 2nd Int. Workshop on Automatic Face Analytics for Human Behavior Understanding (FaceHUB) at IEEE Face & Gesture 2018 - Xi'An, 15-19 May 2018 https://www.cmpe.boun.edu.tr/hbu/2018/ Workshop Description With development of computer vision and sensor technology, it becomes possible to analyze human behavior via various ways at different time-scales and at different levels of interaction and interpretation. Understanding human behavior automatically opens up enormous possibilities for human-computer interaction, with a potential of endowing the computers with a capacity to attribute meaning to users' attitudes, preferences, personality, social relationships, etc., as well as to understand what people are doing, the activities they have been engaged in, and their routines. This workshop aims to inspect developments in selected areas where smarter computers that can sense human behavior have great potential to revolutionize the application domain. We ultimately seek to re-define the relationship between the computer and the interacting human, moving the computer from a passive observer role to a socially active participant role and enabling it to drive different kinds of interaction. The 8th Int. Workshop on Human Behavior Understanding (HBU) and 2nd Int. Workshop on Automatic Face Analytics for Human Behavior Understanding (FaceHUB) are jointly organized at IEEE FG as a single-track, one day event, to gather researchers on behavior analysis and analytics. It will have two specific focus sessions dealing with "face analytics" and "behavior analysis for smart cars". Session 1 "Face analytics": There is strong evidence that face analytic for human behavior understanding could also be highly beneficial in human computer interaction. Application scenarios include analyzing emotions while the person is watching emotional movies or advertisements, playing video games, driving a car, is under health monitoring or crime investigation, or is participating in interactive tutoring. Furthermore, long-term continuous monitoring and analysis of expressions provides important information for assessing personality but also provide cues of psychological disorders. Session 2 "Behavior analysis for smart cars": The computational capabilities of cars are rapidly increasing. While a lot of attention is directed towards what goes on outside the car, and to autonomous driving systems, the inside of the car is very interesting too. In the transition period from human-driven cars to fully autonomous cars, there is great interest in improved driver assistance, safety, and comfort systems. When the fully autonomous car is realized, there will still be a need for looking inside the car, for better car-customer interaction. This workshop will solicit human behavior analysis solutions that clearly advance the field, and also to propose novel application scenarios. The covered topics may span items from the following topics, including the focus theme challenges: Session 1: Face analytics ************************* -Automatic deception detection -Deep learning models for facial analysis -Face alignment and fiducial point detection -Continuous and dynamic facial behavior analysis -Emotion recognition in the wild -Temporal models for face analysis -Facial action unit detection and recognition -Group emotion analysis -Long-term behaviors and interaction -Micro-expression detection, recognition and understanding -Spontaneous affect databases: collection and annotation -Cross-domain facial expression recognition -Spontaneous facial expression analysis -Multimodal emotion recognition Session 2: Behavior analysis for smart cars ******************************************* -Advanced driver assistance systems, assisting elderly drivers -Behavior analysis for car safety -Car driving simulation analysis -Driver identification and biometrics -Driver's face monitoring, drowsiness and fatigue detection -Head pose and attention tracking -Human factors and driver personalization -Human-car interaction -In-car social signals: aggression, frustration, boredom -Multimodal interactive systems in cars -Posture assessment and comfort analysis Human Behavior Analysis Systems ******************************* -Action and activity recognition -Single and multimodal affect analysis -Gaze, attention and saliency -Gestures and haptic interaction -Learning and adaptation -Social signal processing -Voice and speech analysis Theory and Methodology of Human Interactive Behaviors ***************************************************** -Data collection, annotation, and benchmarking -Interaction design -Theoretical frameworks of behavior analysis -User studies and human factors Submission Submission site is open, and accessible at: https://easychair.org/conferences/?conf=hbu2018 Each paper will be reviewed by at least two members of the scientific Program Committee, in double-blind fashion. The submitted papers should present original work, not currently under review elsewhere and should have no substantial overlap with already published work. Submissions should be submitted in PDF and should be no more than 8 pages in IEEE FG 2018 paper format. Accepted papers will be included in the Proceedings of IEEE FG 2018 and Workshops and will be sent for inclusion into the IEEE Xplore digital library. Dates 28 January, Submission deadline 20 February, Notification of acceptance 1 March, Camera ready submission 15 May, Tentative workshop date Special Issues Two journal special issues are planned from the two focus tracks of the HBU Workshop. One issue on `behavior analysis for smart cars` will be edited as a thematic issue of Journal of Ambient Intelligence and Smart Environments. A second issue on `face analytics` is planned. Authors will be invited to submit suitably extended versions of their papers to these special issues. People Program Committee Tadas Baltru?aitis, Microsoft Corporation, UK Wei Chen, China University of Mining and Technology, CN Adrian Davison, University of Manchester, UK Hamdi Dibeklio?lu, Bilkent University, TR Jordi Gonz?lez, CVC Barcelona, ES J?rgen Gall, Univ. of Bonn, DE Heikki Huttunen, Tampere University of Technology, FI Peng Liu, Aware, US Marwa Mahmoud, Univ. of Cambridge, UK Matei Mancas, Univ. of Mons, BE Javier J. Sanchez Medina, CVC-UAB, ES Teruhisa Misu, Honda Research Institute, US Wenxuan Mou, Queen Mary University of London, UK Eshed Ohn-Bar, Carnegie Mellon University, US Shogo Okada, JAIST, JP Yannis Panagakis, Imperial College London, UK Senya Polikovsky, Max Planck Institute for Intelligent Systems, JP Nicu Sebe, University of Trento, IT Caifeng Shan, Philips Research, NL Karan Sikka, Stanford Research Institute, US Xiaoyang Tan, Nanjing University of Aeronautics and Astronautics, CN Yan Tong, University of South Carolina, US Fernando De la Torre, Facebook, US Mohan M. Trivedi, University of California San Diego, US Ruiping Wang, Chinese Academy of Sciences, CN Sujing Wang, Chinese Academy of Sciences, CN Jacob Whitehill, Worcester Polytechnic Institute, US Lijun Yin, University of Binghamton, US Zeynep Y?cel, Okayama University, JP Organizers Carlos Busso, Univ. of Texas at Dallas Xiaohua Huang, Univ. of Oulu (contact for session 1) Takatsugu Hirayama, Nagoya Univ. Guoying Zhao, Univ. of Oulu & Northwest Univ. of China Albert Ali Salah, Bo?azi?i Univ. & Nagoya Univ. (contact for session 2) Matti Pietik?inen, Univ. of Oulu Roberto Vezzani, Univ. of Modena and Reggio Emilia Wenming Zheng, Southeast Univ. Abhinav Dhall, Indian Institute of Technology, Ropar -- Dr. Albert Ali Salah http://www.cmpe.boun.edu.tr/~salah/ Nagoya University, Future Value Creation Research Center (FV-CRC), Graduate School Informatics Bogazici University, Computer Engineering Dept. & Cognitive Science MA Program http://www.cogsci.boun.edu.tr From guangliang.li2010 at gmail.com Tue Oct 31 03:54:35 2017 From: guangliang.li2010 at gmail.com (Guangliang Li) Date: Tue, 31 Oct 2017 15:54:35 +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! Call for contributions Deadline extended to November 6th 2017! 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 extended to November 6th 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 Oxford, 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 ------------------------ Guangliang Li Assistant Professor, Department of Electronic Engineering, College of Information Science and Engineering, Ocean University of China, China Songling Road 238, 266100, Qingdao, China Room: South Building B208 Email: guangliang.li2010 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: