From fabio.bellavia at unipa.it Sun Jun 1 04:48:32 2025 From: fabio.bellavia at unipa.it (Fabio Bellavia) Date: Sun, 1 Jun 2025 10:48:32 +0200 Subject: Connectionists: [CfP] * Deadline Extended * FAPER 2025 workshop @ ICIAP 2025 Message-ID: <7ec52b92-592a-48f7-abd9-457e25d7dbbc@unipa.it> 4th International Workshop on Fine Art Pattern Extraction and Recognition ?? ???????????????????????? *F A P E R*? 2025 ?????????????????? Rome, Italy, September 15 or 16, 2025 _________________________________________________________________________ in conjunction with the 23st International Conference on Image Analysis and Processing (ICIAP 2025) https://sites.google.com/view/faper2025 *submission deadline*: June 13, 2025 *extended* *Aim & Scope* Cultural heritage, especially fine arts, plays an invaluable role in our societies? cultural, historical, and economic growth. Fine arts are primarily developed for aesthetic purposes and are mainly expressed through painting, sculpture, and architecture. In recent years, thanks to technological improvements and drastic cost reductions, a large-scale digitization effort has been made, which has led to the increasing availability of large digitized fine art collections. This availability, coupled with recent advances in computer vision, has disclosed new opportunities, especially for researchers in this field, to assist the art community with automatic tools to analyze and better understand fine arts. Among other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a broader population, both in terms of fruition and creation, thus supporting the spread of culture. Following the success of the previous three editions, the workshop aims to provide an international forum for those wishing to present advancements in state-of-the-art, innovative research, ongoing projects, and academic and industrial reports on applying visual pattern extraction and recognition for a better understanding and fruition of fine arts. The workshop solicits contributions from computer vision and pattern recognition, artificial intelligence, and image processing. FAPER is promoted by the IAPR Technical Committee 19 (Computer Vision for Cultural Heritage Applications (https://www.cvl.iis.u-tokyo.ac.jp/IAPR-TC19/). *Topics* Topics of interest include, but are not limited to: - Computer vision and multimedia data processing for fine arts - Creative AI - 3D reconstruction of historical artifacts - Point cloud segmentation and classification for cultural heritage - Content-based retrieval in the art domain - Smart interactive experiences in cultural sites - Visual question answering and artwork captioning - Art history and computer vision - Projects, products, or prototypes for cultural heritage restoration, preservation, and fruition *Submission guidelines* All submissions must be made electronically via EasyChair (https://easychair.org/conferences/?conf=faper2025). Authors are required to prepare their papers following the Springer guidelines. The manuscript must not exceed 12 pages, including references. Submissions will undergo a double-blind peer review process and will be evaluated based on originality, significance, clarity, soundness, relevance, and technical quality. Upon acceptance, at least one author must register for the event, attend the workshop, and present the paper orally. *Important Dates* - Workshop submission deadline: June 13, 2025 *extended* - Author notification: July 4, 2025 - Camera-ready submission: July 10, 2025 - Registration: TBA - Workshop date: September 15 or 16, 2025 *Organizing committee* Gennaro Vessio (University of Bari, Italy) Giovanna Castellano (University of Bari, Italy) Fabio Bellavia (University of Palermo, Italy) Sinem Aslan (University of Milan, Italy) Raffaele Scaringi (University of Bari, Italy) Nicola Fanelli (University of Bari, Italy) *Venue* The ICIAP 2025 main conference and workshops will be held at Sapienza University of Rome. See https://sites.google.com/view/iciap25 for more information ________________________________________ ? Contacts: gennaro.vessio at uniba.it From rawlse at uncw.edu Sun Jun 1 14:31:45 2025 From: rawlse at uncw.edu (Rawls, Eric) Date: Sun, 1 Jun 2025 18:31:45 +0000 Subject: Connectionists: postdoctoral position: Brain, Data, and Causality Lab, UNCW Message-ID: Hello, apologies for cross-posting. The Brain, Data, and Causality (BDC) Lab at the University of North Carolina Wilmington, led by PI Dr. Eric Rawls, is hiring for a postdoctoral scholar to begin Fall 2025. The BDC lab focuses on using EEG and noninvasive neuromodulation to investigate the brain basis of executive control, and contextual modulators of executive control like emotion and motivation. We use and develop advanced computational methods, including ?big data? statistical methods, machine learning, and artificial intelligence, and we conduct experiments with both healthy volunteers and clinical patients (PTSD, substance use disorders, mTBI). Please see the following job ad to see if this position would be a good fit for you or an individual who is graduating from your lab! Vacancy Details * Vacancy Number PD-0026 * Working Title CSE Postdoctoral Scholar - Brain, Data, and Causality (BDC) Lab * Position Number PD0029 * Location of Workplace Main UNCW Campus Brief Summary of Work for this Position The College of Science and Engineering at University of North Carolina Wilmington invites applications for a postdoctoral scholar to begin Fall 2025. A UNCW postdoctoral scholar is a 12-month full-time temporary non-faculty position with the potential to renew for up to 2 years. A postdoctoral fellow position is available in the Brain, Data, and Causality (BDC) Lab, directed by Dr. Eric Rawls, in the Department of Psychology at the University of North Carolina Wilmington. Our lab focuses on using EEG and noninvasive neuromodulation to investigate the brain basis of executive control, and contextual modulators of executive control like emotion and motivation. We use and develop advanced computational methods, including ?big data? statistical methods, machine learning, and artificial intelligence, and we conduct experiments with both healthy volunteers and clinical patients (PTSD, substance use disorders, mTBI). UNCW postdoctoral scholars gain important training and research experience through their relationship with the university in ways that support and fulfill the research, scholarship, and teaching missions of the institution. The primary responsibility of the postdoctoral scholar is to conduct research and, upon initial appointment, may provide oversight of research projects and personnel, project management, assistance in development and writing of proposals and manuscripts, data acquisition, higher-level interpretation of computational results, and comprehensive data analysis. These activities may be carried out in both field and laboratory settings. The UNCW postdoctoral scholar will: * Have a primary faculty mentor. * Develop an Individual Development Plan (IDP) in coordination with their faculty mentor. * Participate in professional development programming offered through the University. Appointment Description This is a 1-year term appointment with opportunity for renewal year to year, contingent on the availability of funding through June 2027. Postdoctoral appointments are term-limited based on the availability of funding. Postdoctoral scholars are typically assigned 12-month full-time appointments for a 1-2 year term appointment not to exceed a total of five years. Minimum Education and Experience Requirements A Ph.D. or equivalent doctorate in Psychology, Neuroscience, Cognitive Science or a comparable field, conferred no more than five (5) years prior to the appointment start date and before the start date itself. * Applicants who are ABD for the terminal degree may be considered to be eligible for employment if the doctoral degree is conferred by the appointment start date. * Exceptions to the 5-year degree requirement may be waived in exceptional circumstances Preferred Education, Knowledge, Skills & Experience Preference will be given to candidates with: * Expertise in EEG, brain stimulation, or data science methods * Track record of conference presentations and peer-reviewed publications * Strong verbal and written communication skills * Proficiency in R, Matlab, or Python Required Certifications or Licensure No Required Certifications or Licensure Primary Purpose of Organizational Unit UNCW is an 18,000-student campus located on the scenic North Carolina coast. It is a public Carnegie R2 doctoral University institution (high research activity). The Psychology Department has 32 full-time faculty members and serves over 875 undergraduate and 89 graduate majors. The department operates successful Ph.D. programs in Clinical Psychology, Psychological Science, and Applied Behavior Analysis and a Neuroscience & Behavior Master?s program. The department emphasizes applied learning experiences at the graduate and undergraduate levels and strongly values the contribution of basic and applied research to advance the field of psychology. A description of our department and the degrees offered can be found at: https://uncw.edu/academics/colleges/cse/departments/psychology/. College/School Information The College of Science and Engineering offers a variety of programs leading to Bachelor of Science and Master of Science degrees, as well as Doctor of Philosophy degrees in applied coastal and ocean sciences; pharmaceutical chemistry; integrative, comparative, and marine biology; and psychology degrees. The college also offers combined bachelor?s/master?s degree programs in information technology/computer science and information systems, computer science/computer science and information systems, and B.S. in mathematics/M.S. in mathematics. To implement its academic programs, the college provides instruction and research opportunities in the natural and behavioral sciences, information technology, data science, computer science, mathematics, pre-engineering, and engineering. The eight academic departments in the college provide courses of study in each of these areas, in addition to interdepartmental programs in information technology, cybersecurity, and digital arts. A 2+2 in engineering; and 3+2 programs in computer science and electrical or computer engineering; and physics and electrical engineering, are also offered in the college. Post-baccalaureate certificate programs in environmental studies, applied statistics, and geographic information science are also available. CSE students work with distinguished faculty and scientists, use cutting edge technology, and conduct impactful research. Faculty-directed research projects empower CSE students to apply what they learn inside the classroom and laboratory to real-world situations and prepares them for a variety of careers or advanced study. University Information The University of North Carolina Wilmington, the state?s coastal university, is dedicated to the integration of teaching, mentoring, research and service. Widely acknowledged for its world-class faculty and staff and continuously recognized at a national level for scholarly excellence and affordability, UNCW offers a powerful academic experience that stimulates creative inquiry and critical thinking and a community rich in diversity, inclusion and global perspectives. A public institution with nearly 18,000 students, UNCW offers a full range of baccalaureate- and graduate-level programs, as well as doctoral degrees in educational leadership, marine biology, nursing practice and psychology; and many distance learning options, including clinical research, an accelerated RN-to-BSN program, an Executive M.B.A. program structured for working professionals, and the nation?s only bachelor?s degree program focused on coastal engineering. The university?s efforts to advance research and scholarly activities have earned UNCW the elevated designation of ?Doctoral Universities: High Research Activity? institution (R2 University) by the Carnegie Classification of Institutions of Higher Education. UNCW has been part of the University of North Carolina System since 1969. EEO Statement At the University of North Carolina at Wilmington (UNCW), our culture reflects our values of inclusion, diversity, globalization, ethics and integrity and innovation and we are committed to providing equality of educational and employment opportunity for all persons without regard to race, sex (such as gender, gender identity, marital status, childbirth, and pregnancy), age, color, national origin (including ethnicity), religion, disability, sexual orientation, political affiliation, veteran status, military service member status, genetic information, or relationship to other university constituents ? except where sex, age, or ability represent bona fide educational or occupational qualifications or where marital status is a statutorily established eligibility criterion for State funded employee benefit programs. UNCW believes that embracing the unique contributions of our faculty, staff and students is critical to our success and paramount in being recognized for our global mindset. Eligibility for Employment Please note, this is a postdoctoral position. The length of the assignment will be based on department need with the possibility of continuation. Employees in postdoc positions are considered temporary positions (non-permanent state employees) but do qualify for postdoctoral medical insurance and paid leave, unlike other temporary employees at the university. More information about postdoctoral employees can be found in the Postdoc Handbook. To receive consideration, please be sure you have fully completed the entire application before you apply for this position. For more info/to apply visit the applicant portal. Applications must be submitted through the online application system by 11:59 pm EST of the posting close date to be considered. Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. UNC Wilmington participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. Special Notes to Applicants Prior to the official appointment to the university, the candidate(s) selected for hire must be able to demonstrate eligibility to teach assigned courses by successfully meeting the credentialing requirements based on official transcripts and other documentation as required. To apply, please submit: * Cover Letter ? describe in detail your experience with EEG, brain stimulation, data science, coding, project management, and mentoring students * Curriculum Vitae * List of 3 Professional references * Optional: portfolio/work sample ? representative publications If needed, applicants may upload additional materials under the Other category. NOTE: If you are ABD, one reference MUST be from your dissertation chair. Posting Timeline & Link * Requested Job Posting Date 06/02/2025 * Posting Close Date 08/14/2025 * Quicklink for Posting https://jobs.uncw.edu/postings/36351 Applicant Documents Required Documents: * Cover Letter * Curriculum Vita * List of 3 Professional References Optional Documents * Portfolio/Work Sample * Other Please contact Dr. Eric Rawls at rawlse at uncw.edu with any questions. Looking forward to your application! Best, Dr. Rawls Eric Rawls, Ph.D. (he/him/his) Assistant Professor Department of Psychology College of Science and Engineering University of North Carolina Wilmington Adjunct Assistant Professor Department of Psychiatry and Behavioral Sciences College of Medicine University of Minnesota [cid:c3ba776b-5627-4baf-bb43-743e9bfa6dbc] Book time to meet with me -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-wzhpdaqc.png Type: image/png Size: 528 bytes Desc: Outlook-wzhpdaqc.png URL: From sunzq at nju.edu.cn Mon Jun 2 08:39:38 2025 From: sunzq at nju.edu.cn (=?utf-8?B?5a2Z5rO9576k?=) Date: Mon, 2 Jun 2025 20:39:38 +0800 Subject: Connectionists: [CfP]: All upcoming Deadlines at ISWC 2025 Message-ID: 24th International Semantic Web Conference (ISWC 2025) Nara, Japan November 2-6,  2025 Follow us: Twitter/X: @iswc_conf #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/company/iswc/   Mastodon Social: https://mastodon.social/@iswc_conf Bsky: https://bsky.app/profile/iswc-conf.bsky.social  ========================= TLDR? Upcoming deadlines: Doctoral Consortium paper submission June 3, 2025 Tutorial Proposals June 3, 2025 Journal Track Session Proposals June 30, 2025 Dagstuhl-style workshop proposals July 1, 2025 Industry Papers July 1, 2025 SWSA Distinguished Dissertation Award      July 4, 2025 Details below ========================= Call for Doctoral Consortium (DC) Papers This DC forum provides PhD students an opportunity to: present and discuss their research ideas in a supportive, formative and yet critical environment; receive feedback from mentors, typically senior members of the Semantic Web research community, and peers; and network and build collaborations with other members of the community. We will soon publish student travel grant applications, and students with accepted doctoral consortium papers will have priority. Important Dates: DC paper submission due June 3, 2025 Notifications July 8, 2025 Camera ready papers due July 31, 2025 Doctoral consortium Nov 3, 2025 DC Track Chairs: Abraham Bernstein - University of Zurich, Switzerland Natasha Noy - Google Research, US Contact: iswc2025-doctoral-consortium at easychair.org ========================= Call for Tutorial Proposals Continuing the tradition of excellence, the 2025 edition will feature a comprehensive tutorial program serving the diverse interests and expertise of our audience. These tutorials aim to provide attendees with insights into foundational and cutting-edge topics, practical applications, and the latest advancements in Semantic Web, Knowledge Graphs, and Linked Data technologies. Important Dates: Submission deadline: June 3, 2025 Notification to proposers: June 17, 2025 Tutorial website online: July 15, 2025 Materials available on the website (if any): August 8, 2025 Tutorial days: November 2-3, 2025 Tutorial Chairs: Blerina Spahiu - University of Milano-Bicocca, Italy Juan Sequeda - data.world, USA Contact: iswc2025-ws at easychair.org  ========================= Call for Journal Sessions Proposals ISWC 2025 is iterating on the historical Journal Track. This year, we are soliciting a call for (journal track) sessions. These sessions will be held during the main track of the conference. We want to facilitate cross-pollination between sub-communities, as well as overall strengthen the ties and pipelines between ISWC and the journals that serve our community. Important Dates: Journal Track Session Proposals Due June 30, 2025 Notifications                         July 17, 2025 More: https://iswc2025.semanticweb.org/#/calls/journaltrack  ========================= Call for Dagstuhl-style workshop proposals Inspired by the Special Session at ISWC 2024 and the Dagstuhl Seminar model, these workshops are designed to encourage in-depth discussions on challenges or emerging topics within a half-day or full-day event format. The goal is to create a collaborative and open environment for brainstorming and exploring new directions, similar to the spirit of Dagstuhl Seminars. These workshops will prioritize dynamic discussions and the presentation of fresh ideas and ongoing research, rather than requiring participants to submit papers or give formal presentations. Important Dates: Submission due             July 1, 2025 Notifications July 11, 2025 Workshop website online July 25, 2025 Workshop days                       Nov 2-3, 2025 Workshop Chairs: Blerina Spahiu - University of Milano-Bicocca, Italy Juan Sequeda - data.world, USA Contact: iswc2025-ws at easychair.org  ========================= Call for  Industry papers Have you employed knowledge graphs, semantic technologies, and Large Language Models (LLMs) to adopt semantics in innovative industrial applications? The Industry Track at ISWC 2025 welcomes extended abstracts about the application of knowledge graphs and semantic technologies in various industrial sectors, aiming to showcase the state of their adoption and the latest trends. It provides an opportunity for industry adopters to highlight and share the key learnings and new research challenges posed by real-world implementations. Important Dates: Submission due             July 1, 2025 Notifications July 29, 2025 Camera ready papers due Seb 11, 2025 Industry Track Chairs Oktie Hassanzadeh, IBM Research, US Irene Celino, Cefriel, Italy Contact email: iswc2025-industry at easychair.org  More: https://iswc2025.semanticweb.org/#/calls/industry ========================= Application for SWSA Distinguished Dissertation Award The Semantic Web Science Association (SWSA) invites applications for the 2025 SWSA Distinguished Dissertation Award. The award will be presented during the International Semantic Web Conference (ISWC), taking place in Nara, Japan on November 2-6, 2025. Eligible doctoral dissertations are those which present innovative research results related to the combination of semantics, data and the Web, which have been awarded a PhD strictly between January 01, 2024 and June 30, 2025, and which have not previously been nominated for this award. The selection of the dissertation will be based on the originality, significance, and impact of the work. Evidence of such impact includes (but is not limited to) publications at highly selective conferences and journals in the field. The award committee, which will comprise two members of SWSA and a number of external experts, will be the final arbiter in the decision process. The award committee may decide to consult additional external assessors and reserves the right to not award the prize if the applications do not meet the expected quality level. The award includes a certificate and a 1000 euros payment. A free registration to ISWC 2025 will also be covered. In addition, IOS Press will invite the winner to publish the dissertation as a book in the "Studies on the Semantic Web" series. Important Dates: Submission due             July 4, 2025 Contact email: lkagal at csail.mit.edu  More: https://iswc2025.semanticweb.org/#/calls/swsa  -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Mon Jun 2 06:44:48 2025 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 2 Jun 2025 11:44:48 +0100 Subject: Connectionists: CFP: SoGood 2025 - ECML-PKDD Workshop on Data Science for Social Good Message-ID: ================= Call for Papers SoGood 2025 ? 10th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2025, 15-19 September, Porto, Portugal, https://ecmlpkdd.org/2025/ Workshop site: https://sites.google.com/view/sogood-2025/ ================= The possibilities of Data Science for contributing to the social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models", or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of the social impact of the application. This workshop aims to attract papers presenting applications of Data Science for Social Good (which may or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes: - Government transparency and IT against corruption - Public safety and disaster relief - Access to food, water, sanitation and utilities - Efficiency and sustainability - Climate change - Data journalism - Social and personal development - Economic growth and improved infrastructure - Transportation - Energy - Smart city services - Education - Social services, unemployment and homeless - Healthcare and well-being - Support for people living with disabilities - Responsible consumption and production - Gender equality, discrimination against minorities - Ethical issues, fairness, and accountability - Trustability and interpretability - Topics aligned with the UN development goals We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organizations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects that may not be strictly "non-profit" but have Social Good as their main focus. ================= Important Dates: There will be an award for the best paper. - Submission deadline: 15 June 2025 - Acceptance notification: 15 July 2025 - Camera-ready deadline: 31 July 2025 ================= Paper submission: Authors should submit a PDF version in Springer LNCS style using Microsoft CMT ECMLPKDD Workshops 2025 The maximum length of papers is 16 pages, consistent with the ECML PKDD conference submissions. ================= Paper publication: Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops. 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 Valerie.Gouet at ign.fr Mon Jun 2 11:21:17 2025 From: Valerie.Gouet at ign.fr (Valerie Gouet) Date: Mon, 2 Jun 2025 15:21:17 +0000 Subject: Connectionists: [PhD offer] Indexing and retrieval of visual contents in 3D point clouds at large scale - Application to spatialization / Paris area Message-ID: [Apologies if you receive multiple copies of this CfP] PhD offer Indexing and retrieval of visual contents in 3D point clouds at large scale Application to spatialization LASTIG Lab / IGN and Gustave Eiffel University / Paris great area, France All the details: https://agape-anr.github.io/docs/annonce_these_loc2D3D-EN.pdf At a glance The thesis project focuses on the spatialization of visual contents (both image and video contents) by the exploitation of 3D references at large scale. Without any a priori about geolocation, the problem is tackled by the retrieval of the most similar elements in the geolocalized reference. As visual content, we consider old photographs and footages made available from cultural institutions, and as 3D reference we exploit LiDAR data mapping the French territory, made available at the country scale by the French mapping agency (IGN). This PhD thesis has the ambition to address two challenging scientific problems: on the one hand, the description, matching and indexing of 2D(+t) and 3D data in a multi-date context where the scene has evolved over time, and on the other hand, the fast retrieval in very large volumes of data. The work will be carried out within the framework of the multidisciplinary project AGAPE, which addresses the discoverability and investigation in spatial iconographic heritage, and gathers seven leading partners specialized in visual and multimodal AI, Multimedia and Human-Computer Interaction as well as in Archives, History and Media. Keywords Computer Vision, Artificial Intelligence, Indexing and Retrieval, Vision Languages Models, Image analysis, 3D Point Clouds, Big Data, Geolocalization, Cultural Heritage. How to apply Before July 14, 2025, please send to both contacts in a single PDF file the following documents: o A detailed CV * A topic-focused cover letter * Grades and ranks over the last 3 years of study * The contact details of 2 referents who can recommend you Candidatures which do not respect these instructions will not be considered. Auditions will be conducted during period July 15-23; decision released no later than July 25. Contacts * Laurent Caraffa ? Laurent.Caraffa at ign.fr Researcher at LASTIG (PhD thesis supervisor), IGN, Gustave Eiffel University * Val?rie Gouet-Brunet ? Valerie.Gouet at ign.fr Research director at LASTIG (director of the PhD thesis), IGN, Gustave Eiffel University -- Valerie Gouet-Brunet Senior researcher / DR1 Minist?re de la Transition Ecologique LASTIG Lab. / Univ. Gustave Eiffel / IGN (French mapping agency) https://www.umr-lastig.fr/vgouet/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Mon Jun 2 09:50:46 2025 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Mon, 2 Jun 2025 15:50:46 +0200 Subject: Connectionists: PhD student in computational modeling of high-dimensional visual category learning (m/f/x) In-Reply-To: References: Message-ID: We are looking for a highly motivated PhD student in computational modeling of high-dimensional visual category learning. The Department of Cognitive Neurobiology of Caspar Schwiedrzik at Ruhr-University Bochum is looking for an outstanding PhD student with expertise in computational cognitive neuroscience and/or deep learning to join our team to the neural basis of mental flexibility. The project investigates neural mechanisms of high-dimensional visual category learning, utilizing computational approaches as well as neuroimaging and neurophysiology in humans and macaque monkeys, respectively. It is funded by an ERC Consolidator Grant (Acronym DimLearn; ?Flexible Dimensionality of Representational Spaces in Category Learning?). The PhD student?s project will focus on developing deep learning ?digital twin? models based on neural and/or behavioral data to investigate flexible multi-task learning. The lab seeks to understand the cortical basis and computational principles of perception and experience-dependent plasticity in the brain. To this end, we use a multimodal approach including fMRI-guided electrophysiological recordings in rodents and non-human primates, and fMRI and iEEG in humans. See https://doi.org/10.1016/j.cub.2023.01.011 and https://doi.org/10.1038/s41467-024-51543-y for recent examples of our work. The PhD student will play a key role in our research efforts in this area. The lab is located at Ruhr-University Bochum (https://www.rub.de) and the German Primate Center (http://www.dpz.eu). At both locations, the lab is embedded into interdisciplinary research centers with international faculty and students pursuing cutting-edge research in cognitive and computational neuroscience. The PhD student will have access to dedicated computing infrastructure, including high performance computing clusters. The project will be conducted in close collaboration with the labs of Fabian Sinz (https://sinzlab.org), Alexander Gail (https://www.dpz.eu/sensomotorik), and Igor Kagan (http://igorkagan.org). The main site for this part of the project will be Bochum. Ruhr-University Bochum provides a vibrant and stimulating neuroscience community with a strong community in computational as well as experimental neurosciences. The PhD student will have the opportunity to join the International Graduate School for Neuroscience (https://www.ruhr-uni-bochum.de/igsn/index.html) or the International Graduate School of Biosciences (https://www.biologie.ruhr-uni-bochum.de/biodek/promotion/index.html.en). Please find the official job ad and further information here: https://jobs.ruhr-uni-bochum.de/jobposting/318eb740a64696cad9cbeb78dfa84802add43e68 From mklados at gmail.com Mon Jun 2 14:46:31 2025 From: mklados at gmail.com (Dr. Manousos Klados) Date: Mon, 2 Jun 2025 21:46:31 +0300 Subject: Connectionists: =?utf-8?q?Final_Call_=E2=80=93_Registration_Close?= =?utf-8?q?s_June_4th_for_Brain_Graphs_Workshop!?= Message-ID: Dear colleagues, This is a friendly reminder that *registration for the ?Brain Graphs: From Zero to Hero? workshop will close in two days ? Wednesday, June 4th at 23:59 EEST*. If you haven?t secured your spot yet, now is the time to do so: https://www.mklados.com/event-details/brain-graphs-from-zero-to-hero-hands-on-workshop-on-connectivity *A few important updates:* - The workshop will be *recorded* to accommodate participants from different time zones, so you can revisit the content or catch up if you?re unable to attend live. - All attendees will be invited to join a *Google Classroom* community where materials, slides, sample data, and code will be shared. This space will also facilitate knowledge exchange, discussion, and ongoing support. Don?t miss this opportunity to gain practical skills in brain connectivity and expand your analysis toolkit! Also don't forget that MSc/PhD students are eligible for a 50% discount. Just answer this email and I will email you the voucher code. I look forward to seeing you there. Kind Regards Manousos Klados *Dr. Manousos Klados*, MSc, PhD. PGCert. FHEA, FIMA Associate Professor in Psychology Director of MSc/MA in Cognitive/Clinical Neuropsychology Editor in Chief of Brain Organoid and System Neuroscience Journal Scientific Consultant NIRx _______________________________________________ *Department of Psychology, **CITY College,** University of York Europe Campus* 24 Pr. Koromila st., 546 22, Thessaloniki, Greece Tel.: (+30) 2310 224 421 (ext 116), 224521 Fax: (+30) 2310 269 095 Personal websites: www.mklados.com | *https://linktr.ee/thephdmentor * Twitter: https://twitter.com/mklados LinkedIn: https://www.linkedin.com/in/mklados -- Email Disclaimer The content in this e-mail and any attachments is confidential. It is intended solely for the attention and use of the named addressee(s). If you are not the intended recipient, or person responsible for delivering this information to the intended recipient, please notify the sender immediately and delete this e-mail and any attachments from any computer storage or other medium. Unless you are the intended recipient or his/her representative you are not authorized to, and must not, read, copy, distribute, use or retain this message or any part of it. E-mail transmission cannot be guaranteed to be secure or error-free. Any views or opinions presented are solely those of the author and do not necessarily represent those of this organisation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From akirapunk at gmail.com Mon Jun 2 12:12:36 2025 From: akirapunk at gmail.com (Nicola Catenacci) Date: Mon, 2 Jun 2025 17:12:36 +0100 Subject: Connectionists: Call for Participation: 7th Intrinsically Motivated Open-ended Learning Workshop (IMOL2025) Message-ID: Dear colleagues, We are excited to announce the 7th Intrinsically Motivated Open-ended Learning Workshop (IMOL2025), which will take place at the *University of Hertfordshire, Hatfield, UK*, from September 8?10, 2025. Workshop Description IMOL2025 will bring together researchers from AI, machine learning, robotics, cognitive science, psychology, biology, and related disciplines to share and discuss the latest advancements in intrinsically motivated and open-ended learning. The workshop will showcase cross-disciplinary research aimed at understanding and building adaptive systems capable of operating in open-ended, unpredictable environments. It will focus on mechanisms inspired by intrinsic motivation?those that enable humans and animals to explore, learn, and develop autonomously through self-generated goals and internal drives?as well as theoretical foundations, algorithmic innovations, cognitive and biological insights, and real-world applications of open-ended learning. *Registration and Submission* There is *no registration fee*, but registration is compulsory for participation. Registration will be based on accepted submissions. There are two ways to register: 1. *Submit an extended abstract* (up to 2 pages, excluding references) describing research relevant to the workshop themes. Both published and unpublished work are welcome. - Accepted abstracts will be presented as posters. - A select number will be invited for short plenaries in the main track. 2. *Submit a brief motivation letter* if you do not plan to present work but would like to attend and participate in discussions. Please choose only one of the above submission options. All accepted submissions (poster abstracts or motivation letters) will count as valid registrations for IMOL 2025. Submissions must be made via the OpenReview platform at the following link: https://openreview.net/group?id=IMOL/2025/Conference *Topics* Topics of interest include but are not limited to: - Intrinsic motivations in artificial and biological systems - Autonomous open-ended learning in machines and robots - Self-supervised representation learning - Goal self-generation - Architectures for open-ended learning - Multi-task reinforcement learning - Curriculum learning - Continual and lifelong learning - Parameterized and goal-based skill learning - Skill compositionality and chunking - Knowledge transfer and avoidance of catastrophic forgetting - Abstraction and hierarchies of goals and behaviours - Interplay between intrinsic and extrinsic motivations - Open-ended development in children - Mitigating risks in real-world deployment of open-ended systems - Developmental and cognitive architectures supporting open-ended learning - Philosophical and ethical implications of open-ended learning *Important Dates* - *Submission opens*: June 2, 2025 - *Submission deadline*: July 13, 2025 - *Notification of acceptance*: July 20, 2025 - *Workshop dates: Septembe*r 8?10, 2025 *Website*: https://imol2025.github.io/ For enquiries, please *contact*: *imol25.workshop at gmail.com * Please help us spread the word about IMOL2025. See you at IMOL2025, *The IMOL2025 Organising Committee* -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhansel0 at gmail.com Tue Jun 3 02:48:50 2025 From: dhansel0 at gmail.com (David Hansel) Date: Tue, 3 Jun 2025 09:48:50 +0300 Subject: Connectionists: World wide VVTNS series (fifth season): Wednesday, June 4, 2025, at 11:00 am EDT| |Bing W. Brunton University of Washington, Seattle In-Reply-To: References: Message-ID: [image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns at TheoreticalWide You are cordially invited to the lecture Bing W. Brunton University of Washington, Seattle Fields, Flows, and Time-Delay Embeddings The lecture will be held on zoom on Wednesday, June 4, 2025, at *11:00 am EDT * To receive the link: https://www.wwtns.online/register-page *Abstract: TBA* *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ? -- *Il n'y a ni obligation ni pression ? traiter ou r?pondre ? ce mail en dehors des heures de travail* "? ?????? ????? ???? ???? ?????" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: VVTNS.png Type: image/png Size: 41084 bytes Desc: not available URL: From mslst at ecomp.poli.br Mon Jun 2 22:59:30 2025 From: mslst at ecomp.poli.br (Monique Tomaz) Date: Mon, 2 Jun 2025 23:59:30 -0300 Subject: Connectionists: [Registration Open] LACORO 2025: 4th Latin American Summer School on Robotics Message-ID: Dear colleagues, students, and researchers, _______ LACORO 2025 - 4th Latin American Summer School on Robotics Rancagua (Chile) in person, 8-12 December 2025 https://www.lacoro.org We are pleased to announce that registration is now open for the 4th edition of the Latin American Summer School on Robotics (LACORO). The school will take place in person from December 8-12, 2025, at the Universidad de O?Higgins in Rancagua, Chile. *Important dates* - Registration opens: June 1, 2025 - Registration deadline: September 30, 2025 - Early Registration Pricing Ends*:* Sunday, 31st August 2025 - Travel and Registration Grants Applications Open: Sunday, 1st June 2025 - Travel and Registration Grants Applications Close: Wednesday, 30th July 2025 - Travel and Registration Grants Notifications: Friday, 15th August 2025 - Extended Abstract Submission Opens: Sunday, 1st June 2025 - Extended Abstract Submission Closes: Tuesday, 15th July 2025 - Extended Abstract Acceptance Notifications: Friday, 15th August 202 - Poster & Cinematic Video Submission Closes: To be announced *Registration* Click here to register: https://www.lacoro.org *Travel Grant Application* If you want to apply for a travel grant, select the travel grant option when you register. The grants will be awarded based on the predefined criteria on our website, including the quality of the extended abstract. *Confirmed Speakers* The Summer School will have presentations by renowned international speakers, including the following confirmed speakers: - Cecilia Laschi, National University of Singapore. - Danica Kragic, Royal Institute of Technology (KTH), Sweden. - Heather Culbertson, University of Southern California. - Lorenzo Jamone, University College London (UCL), UK, Computer Science Department. - Xavier Hinaut, Inria (Mnemosyne team) & Institute of Neurodegenerative Diseases, Bordeaux France. We would like to highlight that there are limited spots for this event. They will be filled on a first-come, first-served basis as registrations are completed. Registration for students is free. If you have any questions about the school or the application process, please contact the organizing committee: lacoro at innovacionyrobotica.com or visit our website: https://www.lacoro.org Best regards, LACORO 2025 Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From matteo.zavatteri at unipd.it Tue Jun 3 04:32:07 2025 From: matteo.zavatteri at unipd.it (Matteo Zavatteri) Date: Tue, 3 Jun 2025 10:32:07 +0200 Subject: Connectionists: [JAIR Special Track - 6th CFP - deadline extension: September 30, 2025] Integration of Logical Constraints in Deep Learning Message-ID: <28A43327-DBDA-495F-A787-B097FD3CC9B8@unipd.it> (apologies for cross-posting) ====================================================================== Special Track on Integration of Logical Constraints in Deep Learning ---------------------------------------------------------------------- Journal of Artificial Intelligence Research (JAIR) Deadline extension: September 30, 2025 Info: https://www.jair.org/index.php/jair/SpecialTrack-LogicDL ====================================================================== Track Editors: ---------------------------------------------------------------------- Alessandro Abate, University of Oxford, U.K. Eleonora Giunchiglia, Imperial College London, U.K. Bettina K?nighofer, Graz University of Technology, Austria Luca Pasa, University of Padova, Italy Matteo Zavatteri, University of Padova, Italy ====================================================================== Overview: Over the last few years, the integration of logical constraints in Deep Learning models has gained significant attention from research communities for its potential to enhance the interpretability, robustness, safety, and generalization capabilities of these models. This integration opens the possibility of incorporating prior knowledge, handling incomplete data, and combining symbolic and subsymbolic reasoning. Moreover, the use of logical constraints improves generalization, formal verification, and ethical decision-making. The versatility of logical constraint integration spans diverse domains, presenting both research challenges and opportunities. In recent times, there has been a growing trend in incorporating logical constraints into deep learning models, especially in safety-critical applications. Looking ahead, challenges in this field extend to the development of Machine Learning models that not only incorporate logical constraints but also provide robust assurances. This involves ensuring that AI systems adhere to specific (temporal) logical or ethical constraints, offering a level of guarantees in their behavior. Thus, this special track seeks submissions on the integration of logical constraints into deep learning approaches. We are particularly interested in the following broad content areas. - Formal verification of neural networks is an active area of research that has been proposing methods, tools, specification languages (e.g., VNNLIB), and annual competitions (e.g., VNN-COMP) devoted to verify that a neural network satisfies a certain property typically given in (a fragment) of first order logic. - Synthesis aims at synthesizing neural networks that are compliant with some given constraint. Approaches to achieve this aim range from modifying the loss function in the training phase (i.e., soft constraint injection) to exploit counterexample guided inductive synthesis (CEGIS). - Monitoring: Logical constraints can be used to mitigate and/or neutralize constraint violations of machine learning systems when formal verification and synthesis are not possible. Shielding techniques intervene by changing the output of the network when a constraint is being violated. Runtime monitoring can be used to anticipate failures of AI systems without modifying them. - Explainability: Automated learning of formulae and logical constraints from past executions of the system provides natural explanations for neural network predictions and poses another avenue for future research. Formulae and constraints offer a high degree of explainability since they carry a precise syntax and semantics, and thus they can be "read" by humans more easily than other explainability methods. This special track aims to explore and showcase recent advancements in the integration of logical constraints within deep learning models, spanning the spectrum of verification, synthesis, monitoring and explainability, by considering exact and approximate solutions, online and offline approaches. The focus will also extend to encompass innovative approaches that address the challenges associated with handling logical constraints in neural networks. Submissions: This special track seeks contributions that delve into various aspects of logic constraint integration in deep learning, including, but not limited to: - Learning with logical constraints - Enhancing neural network expressiveness for logical constraints - Formal verification (certification) of neural networks - Automated synthesis of certified neural networks, or of AI systems with neural nets - Decision making: Strategy/policy synthesis for AI systems with neural networks - Runtime monitoring of AI systems - Learning of (temporal) logic formulae for explainable and interpretable AI - Scalability challenges in neural networks with logical constraints - Real-world applications of neural networks with logical constraints - Enhancing model explainability via logical constraints - Design of neural networks under temporal logical requirements Pertinent review papers of exceptional quality may also be considered. From timofte.radu at gmail.com Tue Jun 3 05:17:43 2025 From: timofte.radu at gmail.com (Radu Timofte) Date: Tue, 3 Jun 2025 11:17:43 +0200 Subject: Connectionists: [CFP] ICCV 2025 Advances in Image Manipulation (AIM) workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS AIM: 6th Advances in Image Manipulation workshop and challenges on deblurring, denoising, super-resolution, efficient LLMs, stable diffusion, enhancement, rip current segmentation, learned ISP, quality assessment, HDR, In conjunction with ICCV 2025, Honolulu, Hawaii, US Website: https://www.cvlai.net/aim/2025/ Contact: radu.timofte at uni-wuerzburg.de TOPICS Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to: ? Image-to-image translation ? Video-to-video translation ? Image/video manipulation ? Perceptual manipulation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Saliency and gaze estimation ? Perceptual enhancement ? Multimodal translation ? Depth estimation ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Aerial and satellite imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video manipulation on mobile devices ? Image/video restoration and enhancement on mobile devices ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in double-column, ICCV style. The paper format must follow the same guidelines as for all ICCV 2025 submissions. The review process is double blind. Dual submission is not allowed. Submission site: https://cmt3.research.microsoft.com/AIMWC2025/ WORKSHOP DATES ? Submission Deadline: June 30, 2025 ? Decisions: July 11, 2025 ? Camera Ready Deadline: August 10, 2025 AIM 2025 has the following associated challenges: ? High FPS Motion Deblurring ? Inverse Tone Mapping ? Robust Offline Video Super-Resolution ? Image Super-Resolution ? Efficient LLMs ? Efficient Stable Diffusion ? Efficient Video Super-Resolution ? Efficient ViTs for Mobile ? Image Denoising ? Bokeh Effect Rendering ? RGB Photo Enhancement ? Learned Smartphone ISP ? Rip Current Segmentation ? HDR Reconstruction ? Screen-Content Quality Assessment ? Low-Light RAW Video Denoising PARTICIPATION To learn more about the challenges and to participate: https://www.cvlai.net/aim/2025/ CHALLENGES DATES ? Release of train data: May 30, 2025 ? Competitions end: July 5, 2025 CONTACT Email: radu.timofte at uni-wuerzburg.de Website: https://www.cvlai.net/aim/2025/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue Jun 3 13:50:36 2025 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 03 Jun 2025 10:50:36 -0700 Subject: Connectionists: NEURAL COMPUTATION - June 1, 2025 In-Reply-To: Message-ID: EURAL COMPUTATION - Volume 37, Number 6 - June 1, 2025 http://www.mitpressjournals.org/toc/neco/37/5 http://cognet.mit.edu/content/neural-computation Review Dynamics of Continuous Attractor Neural Networks With Spike Frequency Adaptation Yujun Li, Tianhao Chu, and Si Wu Article Dynamics and Bifurcation Structure of a Mean-field Model of Adaptive Exponential Integrate-and-fire Networks Damien Depannemaecker, Lionel Kusch, Alain Destexhe, and Viktor K. Jirsa Letters Neural Code Translation With LIF Neuron Microcircuits Ville Karlsson, Joni K?m?r?inen 'Memory States' From Almost Nothing: Representing and Computing in a Non-associative Algebra Stefan Reimann Low-Rank High-Order Tensor Completion via T-product Induced Tucker (tTucker) Decomposition Jun Tan, Yaodong Li, Peilin Yang, Guoxu Zhou, and Qibin Zhao ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From xiao at gmu.edu Tue Jun 3 21:07:54 2025 From: xiao at gmu.edu (Xuesu Xiao) Date: Wed, 4 Jun 2025 01:07:54 +0000 Subject: Connectionists: Call for Demo Proposals - CoRL 2025 in Seoul, Korea Message-ID: Dear Colleagues, We are excited to invite demo proposals for the Conference on Robot Learning (CoRL) 2025, which will be held in Seoul, Korea! This is a fantastic opportunity to showcase your latest advancements and systems in robot learning to a dedicated and engaged audience. We are seeking demonstrations that highlight: A new level of autonomy beyond existing systems. The performance of novel (recently published) robot learning methods integrated with real robots. Enablers for the robot learning community. Submission Guidelines: Proposals should be submitted via OpenReview: https://openreview.net/group?id=robot-learning.org/CoRL/2025/Demos. Submissions must include a 2-page proposal (excluding proposer bios and references), following the provided template. A video (less than 10 minutes) showcasing the demo and the hardware to be brought to the conference venue is also required. Submission Deadline: June 7, 2025 (11:59:59 AoE) For more details on the submission process and the proposal template, please visit the official Call for Demos page: https://www.corl.org/contributions/call-for-demos We look forward to receiving your exciting demo proposals and seeing you in Seoul! Best regards, Tingnan Zhang and Daehyung Park CoRL 2025 Demo Chairs ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://cs.gmu.edu/~xiao/ https://robotixx.cs.gmu.edu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1584 bytes Desc: not available URL: From ey245 at cam.ac.uk Wed Jun 4 05:08:05 2025 From: ey245 at cam.ac.uk (Edward Young) Date: Wed, 4 Jun 2025 09:08:05 +0000 Subject: Connectionists: Language Models and Intelligent Agentic Systems Lecture Course Message-ID: Dear all, The Language Models and Intelligent Agentic Systems course, run by Meridian Cambridge in collaboration with the Cambridge Centre for Data Driven Discovery, has recently concluded. This 16-lecture series aimed to build up from the foundations of language modelling to frontier agentic AI systems. The lectures were recorded, and all the recordings are available online (https://www.meridiancambridge.org/language-models-course). We hope this series will serve as an excellent introductory resource for those interested to learn more about frontier AI systems! Please share with any students or colleagues you think might be interested. Best wishes, Edward Young (ey245 at cam.ac.uk) -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Wed Jun 4 06:09:21 2025 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Wed, 4 Jun 2025 12:09:21 +0200 Subject: Connectionists: Final CFP: ToxHabits Shared Task (BioCreative IX at IJCAI2025): Named entity recognition of toxic habits (drug abuse, smoking & alcohol in clinical texts) In-Reply-To: References: Message-ID: (Apologies for cross-posting) CFP: ToxHabits Shared Task (BioCreative IX will be colocated with IJCAI 2025 in Montreal, CA) Named entity recognition of toxic habits including substance abuse, smoking & alcohol consumption in clinical texts https://temu.bsc.es/toxhabits/ The ToxHabits track focuses on the automatic detection of toxic habit entity mentions in clinical case reports written in Spanish. We also plan to release a multilingual version of the dataset, including versions in English and other languages. *? Key Links:* - *Main website:* https://temu.bsc.es/toxhabits/ - *Registration:* https://temu.bsc.es/toxhabits/registration/ - *Data download (Train & Test):* https://temu.bsc.es/toxhabits/data/ - *Submission instructions:* https://temu.bsc.es/toxhabits/submission/ - *Evaluation script:* - https://github.com/nlp4bia-bsc/ToxHabits_evaluation_library - https://temu.bsc.es/toxhabits/evaluation/ - *BioCreative IX site:* https://www.ncbi.nlm.nih.gov/research/bionlp/biocreative *Subtasks* - *ToxNER (Subtask 1)**:* Detect spans and types of substance mentions (Tobacco, Alcohol, Drug, Cannabis). - *ToxUse (Subtask 2)**:* Detect spans and labels related to usage (Amount, Type, Frequency, Duration, Method, History). * Timeline* - *Train Set Released:* April 30, 2025 - *Test Set Released:* May 26, 2025 - *Submission Deadline:* *June 5, 2025 (AoE)* - *Results Announcement:* June 6, 2025 - *System Paper Deadline (BioCreative proceedings):* June 16, 2025 - *Review Notification:* July 1, 2025 - *IJCAI 2025 Conference:* August 16?22, 2025 (Montreal, Canada) *? Motivation* Systems capable of detecting and characterizing toxic habits, including not only smoking and alcohol consumption but also various forms of drug or substance abuse, from medical text are crucial for nearly all healthcare data mining, medical AI, and predictive clinical applications. These toxic habits are critical for understanding disease risk, treatment planning, and patient outcomes. In the United States alone, drug overdose deaths since 2000 are approaching one million. Globally, the burden of substance abuse is clear and growing. This highlights the urgent need for systematic extraction and characterization of toxic habit information from medical texts. To address these challenges, the *ToxHabits shared task* has been proposed as part of the *BioCreative IX initiative*, co-located with *IJCAI 2025*. *Clinical Use Cases Include:* 1. *Risk Assessment for Chronic Diseases* 2. *Anesthesia and Surgical Planning* 3. *Mental Health Diagnosis and Management* 4. *Medication Metabolism and Drug Interactions* 5. *Prenatal and Maternal Care* 6. *Infectious Disease Screening and Prevention* 7. *Liver Function and Hepatology* 8. *Oncology: Risk and Treatment Planning* 9. *Pain Management and Opioid Prescribing* 10. *Emergency and Acute Care Triage* * Workshop Proceedings & Special Issue* Participating teams will be invited to contribute a *system description paper* to the *BioCreative IX Working Notes* and to give a *flash presentation* during the BioCreative session at IJCAI. Top-performing teams may be invited to submit an extended version to a *special journal issue*. *All BioCreative IX Tracks* - *Track 1:* MedHopQA - *Track 2:* Sentence Segmentation of Real-Life Clinical Notes - *Track 3:* ToxHabits Details: https://www.ncbi.nlm.nih.gov/research/bionlp/biocreative9 *Organizers* - Wesam Al-Nabki, BSC, Spain - Gabriel Vay?-Abad, BSC, Spain - Eul?lia Farr?-Maduell, BSC, Spain - Jan Rodr?guez Miret, BSC, Spain - Martin Krallinger, BSC, Spain *Scientific Committee* - Dina Demner-Fushman, NIH/NLM - Ozlem Uzuner, George Mason University - Asma Ben Abacha, Microsoft Health AI - Anastasios Nentidis, NCSR Demokritos - Anastasia Krithara, NCSR Demokritos - Lourdes Araujo, UNED -------------- next part -------------- An HTML attachment was scrubbed... URL: From annika.schuster at tu-dortmund.de Wed Jun 4 08:57:02 2025 From: annika.schuster at tu-dortmund.de (Schuster, Annika Noel) Date: Wed, 4 Jun 2025 12:57:02 +0000 Subject: Connectionists: Call for Registration: Machine Learning Meets Scientific Understanding Message-ID: <416c3c90ba05442cb6bd52e9e63a5fad@tu-dortmund.de> The Emmy Noether group UDNN: Scientific Understanding and Deep Neural Networks is pleased to announce its upcoming workshop. This interdisciplinary event seeks to bring together philosophers of science and machine learning (ML), as well as ML practitioners, to explore the intersections between ML and scientific understanding. Machine Learning Meets Scientific Understanding June 26th and 27th, 2025 IBZ, TU Dortmund, Germany Registration: https://forms.gle/H2weV4MUMnEEDQ679 Website: https://udnn.tu-dortmund.de/index.php/activities/workshop-machine-learning-meets-scientific-understanding/ Confirmed speakers and titles: ? Cameron Buckner, Philosophy (University of Florida): Predictively-valid "Alien" Features, or Artifacts? Coping with Inscrutable Scientific Progress ? Heather Champion, Philosophy (T?bingen University): On scientific discovery with machine learning: what is "strong" novelty? ? Edward Chang, Computer Science (Stanford University): From Generative AI to AGI: Multi-LLM Agent Collaboration as a Path Forward ? Finnur Dells?n, Philosophy (University of Iceland): Scientific Progress in the Age of AI ? Henk W. de Regt, Philosophy (Radboud University) and Eugene Shalugin, Philosophy (Radboud University): Bridging Scientific Understanding and Creativity with an LLM Benchmark for Narrow-Domain Scientific Fields ? Timo Freiesleben, Philosophy (T?bingen University): The Benchmarking Epistemology - What Inferences Can Scientists Draw from Competitive Comparisons of Prediction Models? ? Giovanni Galli, Philosophy (University of Teramo): Deep-learning Models and Scientific Understanding through Explanations and Representations ? Insa Lawler, Philosophy (UNC Greensboro): The Gradability of Explanatory Understanding ? Holger Lyre, Philosophy (Magdeburg University): Semantic Grounding in Advanced LLMs ? Daniel Neider, Computer Science (TU Dortmund University): A Gentle Introduction to Neural Network Verification (and How It Might Contribute to Evaluating Scientific Insights) ? Sara Pernille Jensen, Philosophy (Oslo University): The Underdetermination of Representational Content in DNNs ? Darrell P. Rowbottom, Philosophy (Lingnan University Hong Kong): What's Hidden Inside Predictively Successful Deep Learning Models? ? Emily Sullivan, Philosophy (Utrecht University): Idealization Failure in ML For inquiries, please contact the organizing committee at udnn.ht at tu-dortmund.de. Main Organizers: Annika Schuster, Frauke Stoll, and Florian J. Boge Wichtiger Hinweis: Die Information in dieser E-Mail ist vertraulich. Sie ist ausschlie?lich f?r den Adressaten bestimmt. Sollten Sie nicht der f?r diese E-Mail bestimmte Adressat sein, unterrichten Sie bitte den Absender und vernichten Sie diese Mail. Vielen Dank. Unbeschadet der Korrespondenz per E-Mail, sind unsere Erkl?rungen ausschlie?lich final rechtsverbindlich, wenn sie in herk?mmlicher Schriftform (mit eigenh?ndiger Unterschrift) oder durch ?bermittlung eines solchen Schriftst?cks per Telefax erfolgen. Important note: The information included in this e-mail is confidential. It is solely intended for the recipient. If you are not the intended recipient of this e-mail please contact the sender and delete this message. Thank you. Without prejudice of e-mail correspondence, our statements are only legally binding when they are made in the conventional written form (with personal signature) or when such documents are sent by fax. -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.louppe at uliege.be Wed Jun 4 12:13:45 2025 From: g.louppe at uliege.be (Gilles Louppe) Date: Wed, 4 Jun 2025 18:13:45 +0200 Subject: Connectionists: =?utf-8?q?PhD/postdoc_positions_in_Scientific_Fou?= =?utf-8?q?ndation_Models_=28University_of_Li=C3=A8ge=2C_Belgium=29?= Message-ID: PhD and postdoctoral opportunities are now available at the Science with AI Lab (SAIL, https://glouppe.github.io) of the Montefiore Institute, University of Li?ge, for researchers interested in advancing deep learning and foundation models for scientific applications. Open positions include: - a PhD/postdoc position in deep learning for scientific foundation models (Mosaic project) - a PhD/postdoc position in foundation models for solving inverse problems (Mosaic project) - a PhD/postdoc position on the emulation of regional climate models (MAR.ai project, in collaboration with Prof. Xavier Fettweis) These positions focus on methodological advances in deep learning, with AI for weather as a key application area. We welcome candidates with strong backgrounds in machine learning, deep learning, physics, atmospheric sciences, or related quantitative fields who are excited to tackle challenging methodological problems while contributing to important scientific applications. The positions offer competitive salaries, access to state-of-the-art GPU clusters, and the opportunity to publish in top-tier AI venues while making real-world impact. The positions are fully funded and available immediately (Mosaic project) or starting October 1, 2025 (MAR.ai project). The duration is 4 years for PhD candidates and 2 years for postdoctoral researchers. Interested candidates should contact Prof. Gilles Louppe (g.louppe at uliege.be) with their CV, research statement, and relevant publications. Indicate in the email which position(s) you are interested in. From katha at ini.uzh.ch Wed Jun 4 12:42:07 2025 From: katha at ini.uzh.ch (katha) Date: Wed, 04 Jun 2025 18:42:07 +0200 Subject: Connectionists: =?utf-8?q?Postdoc/PhD_position_in_Computational_N?= =?utf-8?q?euroscience_at_the_Institute_of_Neuroinformatics_=28UZH_and_ETH?= =?utf-8?q?_Z=C3=BCrich=29_in_the_Wilmes_lab?= In-Reply-To: References: Message-ID: <37a87e83b9ceae9b0569d265a63f1d7a@ini.uzh.ch> Postdoc/PhD position in Computational Neuroscience in the Theory of Neural Circuits group at the Institute of Neuroinformatics under the supervision of Katharina Wilmes: We are looking for highly motivated Postdocs or PhD students, interested in computational neuroscience, specifically addressing questions concerning neural circuits underlying perception and learning. The perfect candidate has a strong background in math, physics or computer science (or equivalent), programming skills (python), and a strong interest in biological and neural systems. A background in computational neuroscience is ideal, but not mandatory. Research topic: Our brain maintains an internal model of the world, based on which it can make predictions about sensory information. These predictions are useful for perception and learning in the uncertain and changing environments in which we evolved. The link between high-level normative theories and cellular-level observations of prediction errors and representations under uncertainty is still missing. The lab uses computational and mathematical tools to model cortical circuits and neural networks on different scales. The environment: You'll become part of the Institute of Neuroinformatics (INI, UZH and ETH Z?rich), a very collaborative and inspiring place, with many labs focusing on discovering the key principles underlying intelligent behaviour. Our lab closely collaborates with experimental colleagues both at the INI, and in Bonn (Germany) and London (UK). More information can be found at: https://www.ini.uzh.ch/en/research/groups/wilmes.html How to apply: Candidates should send a single pdf file, consisting of a 1-page motivation letter and a CV (including publication list) and contact information of 2 referees to katha at ini.uzh.ch From hawkins.john.c at gmail.com Wed Jun 4 19:05:33 2025 From: hawkins.john.c at gmail.com (John Hawkins) Date: Thu, 5 Jun 2025 09:05:33 +1000 Subject: Connectionists: PhD Position: Bioinformatics Machine Learning in Dresden Germany In-Reply-To: References: Message-ID: Good morning, Advertising a PhD position for *Bioinformatics Machine Learning in Dresden, Germany.* The ideal candidate has experience with building and evaluating a wide array of machine learning models and an interest in working with data from molecular biology: protein and DNA sequences and structures. The candidate will get a German working contract with standard social security contributions and with the income rate ruled by the TVL system. Here, a PhD student will be allocated to a TVL group E13 65% (Level 1 if first time in the German system) Here you can see the Bruto income and contributions for a standard student at such level (i.e. annual Brutto of about 37.500 Eur; about 3.125 Eur/month Brutto): https://oeffentlicher-dienst.info/c/t/rechner/tv-l/allg?id=tv-l-2025&g=E_13&s=1&zv=VBL&z=65&zulage=&stj=2025&stkl=1&r=0&zkf=0&pvk=0&kk=17%2C05%25 Advertisement with contact details attached. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Advertisement-PhD_SSRs-2025-COLOR.pdf Type: application/pdf Size: 483533 bytes Desc: not available URL: From jiangdm21st at gmail.com Thu Jun 5 03:02:40 2025 From: jiangdm21st at gmail.com (Dongmei Jiang) Date: Thu, 5 Jun 2025 15:02:40 +0800 Subject: Connectionists: ACII2025: Call for Doctoral Consortium Message-ID: Call for Doctoral Consortium We invite students from all Ph.D. granting institutions who are in the process of forming or carrying out a plan for their Ph.D. research in the area of Affective Computing to apply for participation in the Doctoral Consortium (DC) of the Affective Computing and Intelligent Interaction Conference (ACII 2025). DC is a forum for Ph.D. students to share ideas about their research, developments, and applications in affective computing. The students will be able to present their work to a group of mentors and peers from an international community, receive feedback on their doctoral research plan and progress, and build a cohort of young researchers interested in Affective Computing. Who Should Apply? Students from any Ph.D.-granting institution whose research falls within Affective Computing are encouraged to apply. Although we encourage applications from students at any stage of doctoral training, the DC will most benefit students forming or developing their doctoral research. These students will have passed their qualifiers or have completed most of their coursework, will be planning or developing their dissertation research proposal, and will not be very close to completing their dissertation research. Submission Guidelines Ph.D. students in an area related to Affective Computing are invited to submit the following materials: 1. Extended Abstract (4 pages + 1 page for references; please find the IEEE templates under the ?Instructions for Authors? section here ): A description of the PhD research plan and progress. The submissions should *not be anonymous*. In particular, it should contain: - An abstract (120 words max) - The key research questions and motivation of the research - Background and related work that informs the research - A statement of hypotheses or a description of the scope of the technical problem - The methodology to achieve the objectives and the proposed solution(s) - A description of the work done so far and a tentative plan for future work - A statement of research contributions to date (if any) and expected contributions of the Ph.D. work to Affective Computing - Reference list 2. CV: The student?s curriculum vitae (1 or 2 pages). 3. Authorship and Statement from Advisor: Students are expected to be the sole authors of their submission. The application must be accompanied by a separate note from the student?s Ph.D. advisor confirming their student status and endorsing the submission. The note should clearly indicate the student?s progress in the Ph.D. program (e.g., qualifiers passed, pre-proposal stage, etc.). The advisor should email the note to the DC Chairs at dc-chairs at acii-conf.net (see below for further information about the DC Chairs). Please note that the Extended Abstract and the CV should be prepared in PDF format and submitted through the ACII submission system . The Advisor Statement should be submitted via email to the DC chairs. Submission Topics, Instructions, and Proceedings DC papers should be related to the conference topics. The theme of ACII 2025 is Socially Responsible Affective Computing. With its ability to recognise and respond to human emotions, affective computing holds great potential for enhancing user experiences and fostering more natural interactions between humans and machines. However, this also raises concerns regarding the responsible and transparent use of the technology. ACII 2025 especially welcomes research that explores how best to ensure an ethically responsible and transparent use of affective technology. Topics of interest are provided in the general call for papers . The Proceedings of the Doctoral Consortium will be published as part of the ACIIW 2025 Conference Proceedings. Papers should be submitted through the conference submission system. Review Process The Doctoral Consortium submissions will be evaluated on several factors, including (1) the quality of the submission, (2) the expected benefits of the DC towards the student?s Ph.D. research, and (3) the student?s contribution to the diversity of topics, backgrounds, and institutions, in order of importance. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of affective computing and its impact on the field and beyond. Finally, we hope to achieve a diversity of research topics, disciplinary backgrounds, methodological approaches, and home institutions in the ACII 2025 Doctoral Consortium cohort. Attendance All authors of accepted submissions are expected to register, attend, and present at the Doctoral Consortium and the associated poster session. Important Dates *All deadlines are in the Anywhere on Earth timezone.* - Submission deadline: 30 June 2025 - Acceptance notifications: 28 July 2025 - Camera-ready deadline: 20 August 2025 Questions For further questions, please contact the Doctoral Consortium Chairs: Sharifa Alghowinem, Raiyan Abdul Baten, and Shiro Kumano, dc-chairs at acii-conf.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.kollias at qmul.ac.uk Wed Jun 4 18:50:49 2025 From: d.kollias at qmul.ac.uk (Dimitrios Kollias) Date: Wed, 4 Jun 2025 22:50:49 +0000 Subject: Connectionists: (CfP) ICCV 2025: 9th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW) In-Reply-To: References: Message-ID: Dear Colleagues, Please find below the invitation to contribute to the 9th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the International Conference on Computer Vision (ICCV), 2025. (1): The Competition is split into the below three Challenges: * Valence-Arousal Estimation Challenge * Compound Expression Recognition Challenge * Fine-Grained Violence Detection Challenge The first Challenge is based on an augmented version of the Aff-Wild2 database; the 2nd Challenge is based on the C-EXPR-DB database; and the 3rd Challenge is based on the DVD Database. More details can be found here. All accepted papers from the Competition will be part of the ICCV 2025 proceedings. Important Dates: Call for Participation Announced, Team Registration Begins, Data Available: 3 June, 2025 Final Submission Deadline: 3 July, 2025 Winners Announcement: 5 July, 2025 Final Paper Submission Deadline: 8 July, 2025 Review Decisions Sent to Authors / Notification of Acceptance: 12 August, 2025 Camera-Ready Version Deadline: 18 August, 2025 (2): The Workshop is a premier platform highlighting the latest advancements in multimodal analysis, generation, modeling, and understanding of human affect and behavior in real-world, unconstrained environments. Original high-quality contributions, in terms of databases, surveys, studies, foundation models, techniques and methodologies (either uni-modal or multi-modal; uni-task or multi-task ones) are solicited on -but are not limited to- the following topics: i) facial expression (basic, compound or other) or micro-expression analysis ii) facial action unit detection iii) valence-arousal estimation iv) physiological-based (e.g.,EEG, EDA) affect analysis v) face recognition, detection or tracking vi) body recognition, detection or tracking vii) gesture recognition or detection viii) pose estimation or tracking ix) activity recognition or tracking x) lip reading and voice understanding xi) face and body characterization (e.g., behavioral understanding) xii) characteristic analysis (e.g., gait, age, gender, ethnicity recognition) xiii) group understanding via social cues (e.g., kinship, non-blood relationships, personality) xiv) video, action and event understanding xv) digital human modeling xvi) characteristic analysis (e.g., gait, age, gender, ethnicity recognition) xvii) violence detection xviii) autonomous driving xix) domain adaptation, domain generalisation, few- or zero-shot learning for the above cases xx) fairness, explainability, interpretability, trustworthiness, privacy-awareness, bias mitigation and/or subgroup distribution shift analysis for the above cases xxi) editing, manipulation, image-to-image translation, style mixing, interpolation, inversion and semantic diffusion for all afore mentioned cases All accepted papers from the Workshop will be part of the ICCV 2025 proceedings. Important Dates: Paper Submission Deadline: 8 July, 2025 Review Decisions Sent to Authors / Notification of Acceptance: 12 August, 2025 Camera-Ready Version Deadline: 18 August, 2025 General Chair: Dimitrios Kollias (Queen Mary University London) Program Chairs: Stefanos Zafeiriou (Imperial College London) Irene Kotsia (Cogitat Ltd) Greg Slabaugh (Queen Mary University London) In case of any queries about the Competition or the Workshop, please contact d.kollias at qmul.ac.uk Kind Regards, Dimitrios Kollias, on behalf of the organising committee ======================================================================== Dr Dimitrios Kollias, PhD, FHEA, M-IEEE, M-BMVA, M-AAAI, M-TCPAMI, AM-IAPR Lecturer (Assistant Professor) in Artificial Intelligence Member of Centre for Multimodal AI Affiliate Member of Centre for Human Centred Computing Member of Multimedia and Vision Group Member of Queen Mary Computer Vision Group Associate Member of Centre for Advanced Robotics Academic Fellow of Digital Environment Research Institute School of EECS Queen Mary University of London ======================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From frank.loebe at informatik.uni-leipzig.de Wed Jun 4 20:50:42 2025 From: frank.loebe at informatik.uni-leipzig.de (Frank Loebe) Date: Thu, 5 Jun 2025 02:50:42 +0200 Subject: Connectionists: Final Call - 11th Summer School on AI and Big Data (June 23-27, Dresden, Germany; by ScaDS.AI Dresden/Leipzig) - register by June 13, 2025 (CEST) Message-ID: ScaDS.AI Dresden/Leipzig invites you to attend its 11th International Summer School on AI and Big Data June 23-27, 2025 in Dresden, Germany [1] https://scads.ai/event/summer-schools/summer-school-2025/ Registration [2] extended until June 13, 2025 (CEST) The 11th International Summer School on AI and Big Data brings together PhD students, graduate students, researchers, and professionals interested in the areas of Artificial Intelligence, Big Data, and Machine Learning. This year, we will focus on language models and their applications, especially in areas such as education and ethics. == *Confirmed Keynote Speakers* == - Mehwish Alam, T?l?com Paris, France Associate Professor of Language, Knowledge, Artificial Intelligence - Pia Lucia Diergarten, Friedrich Schiller University Jena, Germany Researcher at the chair of Historical Pedagogy and Global Education - Nicolas Flores-Herr, Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Dresden, Germany Head of the Institute Branch Lab Dresden - Fredrik Heintz, Link?ping University, Sweden Professor of Computer Science and Head of the Division of Artificial Intelligence and Integrated Systems (AIICS) - Philipp Lorenz-Spreen, TUD Dresden University of Technology, Germany Junior Research Group Leader on Computational Social Science - J?rg Roskowetz, AMD Research, Munich, Germany Director Solution Architect AI and Web3 Technology - Jens Stapelfeldt, AMD Research, Bremen, Germany Global AI Lead (AUP) - AMD University Program - Anand Subramoney, Royal Holloway, University of London, UK Assistant Professor at the Department of Computer Science == *Program* == During five vibrant days on the generation and use of language models, please expect: - Keynote talks by internationally recognized experts, cf. those above - Hands-on sessions using and developing large language models (LLMs), incl. tutorials on accessing LLM servers, programming chat bots and agents for various applications, and building multi-agent systems - Chances to connect, collaborate, and learn with peers and experts Program details and updates can be found at the school website [1]. == *Venue and Pricing* == The school is held at Penck Hotel Dresden [3], Ostra-Allee 33, 01067 Dresden, Germany, where also rooms for participants are allocated (to be paid extra). *Registration fees* - Normal Academia ? Full week (incl. service) 650,00 ? - Normal Industry ? Full Week (incl. service) 850,00 ? - 2 Day Pass for Mon + Tue (incl. service) 350,00 ? - 2 Day Pass for Wed + Thu (incl. service) 350,00 ? More information on registration and accommodation at the venue is available at the school website [1]. Interested? Make sure to register [2] by June 13, 2025 (CEST). We look forward to welcoming you to Dresden! Kind regards, Wolfgang E. Nagel and Rene J?kel for the organizing team at ScaDS.AI Dresden/Leipzig [1] https://scads.ai/event/summer-schools/summer-school-2025/ [2] https://eveeno.com/11th-international-summer-school [3] https://www.penckhoteldresden.de/en/rooms/ -- Frank Loebe Coordinator ScaDS.AI Graduate School Leipzig University ScaDS.AI Dresden/Leipzig - Center for Scalable Data Analytics and Artificial Intelligence Humboldtstrasse 25, 04105 Leipzig, Germany From bernstein.conference at fz-juelich.de Thu Jun 5 05:09:28 2025 From: bernstein.conference at fz-juelich.de (Bernstein Conference) Date: Thu, 5 Jun 2025 11:09:28 +0200 Subject: Connectionists: Register now for the Bernstein Conference 2025 in Frankfurt am Main Message-ID: <10b15535-932b-4bc4-8c0e-89f3ada7fc69@fz-juelich.de> Bernstein Conference Each year, the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss the latest scientific findings. The Satellite Workshop program is now published, all details are available on our website. www.bernstein-conference.de ____ IMPORTANT DATES Bernstein Conference: September 29 ? October 2, 2025 Submission Deadlines: Contributed Talk abstract submission: June 17, 2025 at 15:00 CEST Poster Session abstract submission: July 15, 2025 at 15:00 CEST Travel Grant application: July 15, 2025 at 17:00 CEST Registration Deadlines: early registration: July 30, 2025 late registration: September 17, 2025 ___ REGISTRATION Registration for the Bernstein Conference is open now. Register until July 30, 2025, and profit from reduced conference fees. All information: https://bernstein-network.de/bernstein-conference/registration/ ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts. Submissions may be considered for either Contributed Talks or Poster Sessions. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ INVITED SPEAKERS Alison Barker (Max Planck Institute for Brain Research, Germany) Upinder S. Bhalla (National Centre for Biological Sciences, India) Albert Compte (Institut d?Investigacions Biom?diques August Pi i Sunyer (IDIBAPS), Spain) Luca Mazzucato (University of Oregon, USA) Tirin Moore (Stanford University, USA) Edvard Moser (Norwegian University of Science and Technology, Norway) Katherine Nagel (NYU School of Medicine, USA) Panayiota Poirazi (Foundation of Research and Technology-Hellas (FORTH), Greece) Viola Priesemann (Max Planck Institute for Dynamics and Self-Organization, Germany) Andreas Tolias (Stanford University, USA) ____ CONFERENCE COMMITTEE Jochen Triesch (Conference Chair) Matthias Kaschube (Conference Host) Tatiana Engel (Program Chair) Tim Vogels (Program Vice Chair) Wiktor M?ynarski (Workshop Chair) Katharina Wilmes (Workshop Vice Chair) & Athena Akrami, Nicolas Brunel, Alex Cayco-Gajic, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin. ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum J?lich GmbH 52425 J?lich Sitz der Gesellschaft: J?lich Eingetragen im Handelsregister des Amtsgerichts D?ren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller Gesch?ftsf?hrung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Dr. Stephanie Bauer (stellv. Vorsitzende), Prof. Dr. Ir. Pieter Jansens, Prof. Dr. Laurens Kuipers ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurent.mertens at kuleuven.be Thu Jun 5 05:09:34 2025 From: laurent.mertens at kuleuven.be (Laurent Mertens) Date: Thu, 5 Jun 2025 09:09:34 +0000 Subject: Connectionists: PhD Position in Functional brain imaging of social cognition @ KU Leuven, Belgium Message-ID: Dear all, We are looking for a motivated PhD student to join our project "Social Cognition In Silico and In Vivo" (SCIVIS), with proficiency in Dutch of at least B2 level (see below). The research is embedded in a vibrant and interdisciplinary research network. The Center Neuropsychiatry at KU Leuven (Belgium) operates at the crossroads of neurology, psychiatry, and cognitive neuroscience. Through an integrated, interdisciplinary approach, we investigate how brain networks support behavior, emotions, and social interaction, both in neurotypical individuals and in people with neuropsychiatric conditions. The project is conducted in close collaboration with the Research Unit Brain & Cognition at KU Leuven (https://ppw.kuleuven.be/bc), known for its expertise in experimental psychology and cognitive neuroscience, and the AI Lab of VUB university, Brussels (https://ai.vub.ac.be), a leading center in artificial intelligence research. Together, these partners bring complementary strengths to the study of social cognition, linking brain, behavior, and computation. Project As part of the SCIVIS project, we are looking for a PhD candidate to investigate the neural underpinnings of social cognition using functional brain imaging (fMRI/fNIRS). This cutting-edge initiative bridges neuroscience and artificial intelligence to advance our understanding of social cognition in both neurotypical individuals and those with atypical development, with a particular focus on autism and frontotemporal dementia. The position offers the opportunity to design and carry out behavioral and neuroimaging experiments, and to collaborate closely with computational scientists and experimental psychologists. You will join a dynamic research team and contribute to high-impact science at the interface of neuroscience and AI, with real potential to advance our understanding of the social brain. As a PhD student, you will contribute mostly to the in vivo research package, including: ? Designing and conducting behavioral and neuroimaging experiments (fMRI and fNIRS) to explore social cognitive functions. ? Collecting and analyzing imaging data to investigate the brain mechanisms underlying social cognition. ? Collaborating with a multidisciplinary team and integrating findings with computational modeling efforts. ? Preparing publications for leading scientific journals and presenting at international conferences. Profile ? Proficiency in Dutch is essential for study-related interactions with participants (minimum level B2, preferably C1). ? A Master?s degree in neuroscience, psychology, biomedical sciences, or a related discipline. ? Strong analytical and problem-solving skills; experience with neuroimaging and statistical tools (e.g., SPM, R, Matlab) is a plus. ? Previous involvement with neurodiverse populations is an asset. ? A keen interest in the neural basis of social cognition. ? Excellent communication skills in English; previous interdisciplinary work is advantageous. Offer ? A full-time, four-year position within a highly regarded international research group at KU Leuven. ? Access to state-of-the-art facilities for behavioral and neuroimaging research. ? Opportunities for professional development, including participation in international conferences and workshops. ? A competitive salary in line with KU Leuven?s guidelines for PhD candidates. To apply, please refer to the vacancy page with application instructions at https://www.kuleuven.be/personeel/jobsite/jobs/60487241 KR, Laurent Mertens -------------- next part -------------- An HTML attachment was scrubbed... URL: From francesca.naretto at sns.it Thu Jun 5 05:07:07 2025 From: francesca.naretto at sns.it (Francesca NARETTO) Date: Thu, 5 Jun 2025 11:07:07 +0200 Subject: Connectionists: CFP XKDD at ECML PKDD - deadline extension Message-ID: ** deadline extension ** *XKDD and Beyond 2025* - Call for Papers ------------------------------------------------------------------------- 7th ECML PKDD International Workshop on eXplainable Knowledge Discovery in Data Mining and *UNLEARNING* https://xkdd2025.isti.cnr.it/ ------------------------------------------------------------------------- co-located with the ECML-PKDD 2025 Conference, Porto, Portugal *IMPORTANT DATES* Paper Submission deadline: *June 14th, 2025* Accept/Reject Notification: July 14th, 2025 Workshop: September 19th, 2025 *CONTEXT & OBJECTIVES* In recent years, Artificial Intelligence (AI)-driven decision systems have been widely applied in domains such as credit scoring, insurance risk assessment, and health monitoring, where predictive accuracy is critical. While these systems enhance decision-making capabilities, they also introduce ethical and legal challenges, including bias reinforcement, reduced transparency, privacy concerns, and diminished accountability. The complexity and opacity of modern AI models further exacerbate these risks, making it difficult to ensure fairness and compliance with ethical and legal standards. Most AI systems today rely on Machine Learning algorithms, and the need for ethics and trust in AI has been emphasized through various regulations and guidelines. Frameworks such as the EU?s GDPR mandate the right to "meaningful explanations" of automated decision-making processes, while the AI Act advocates for explainability, transparency, and accountability in AI-driven decision-making. Despite these efforts, the challenge of developing AI systems that are truly explainable, trustworthy, and compliant with regulatory frameworks remains unresolved. Many methodologies address aspects such as explainability, fairness, and accountability, but a comprehensive and effective framework is still lacking. Addressing these challenges requires collaboration across disciplines, including computer science, law, sociology, and ethics. XKDD and Beyond is dedicated to advancing research on explainable, transparent, ethical, and fair AI-driven decision systems. *This year, the workshop expands its scope to include the emerging topic of unlearning and its intersection with explainable AI (XAI)*. Unlearning, or the removal of specific knowledge from AI models, is a crucial challenge, especially in contexts requiring compliance with the "right to be forgotten" under GDPR. However, achieving effective unlearning is complex, as model parameters encode learned information in intricate ways. XAI techniques play a vital role in operationalizing unlearning by providing insights into how decisions are made, identifying the influence of specific data points, and guiding targeted interventions to remove unwanted knowledge while preserving model performance. By integrating explainability with unlearning, AI systems can become more adaptable, accountable, and aligned with ethical and legal standards. *TOPICS* XKDD 2025 invites researchers and practitioners from academia and industry to explore the latest advancements in explainability, trust, and unlearning in AI. Join us in shaping the future of ethical and transparent AI-driven decision-making. Topics of interest include, but are not limited to: *- XAI and Unlearning* *- XAI for Trustworthy AI* *- XAI for Social AI* *- XAI to Align AI with Human Values* *- XAI for Outlier and Anomaly Detection* *- XAI methodologies for tabular data, images, text, and time series* *- XAI for ethical, fair, and transparent AI systems* *- XAI techniques for enabling unlearning in machine learning models* *- The role of XAI in privacy preservation and regulatory compliance* *- Case studies on XAI and unlearning applications in real-world scenarios* *- Quantitative and qualitative evaluations of XAI* *- Quantitative and qualitative evaluations of unlearning approaches* *- XAI for Federated Learning* *- XAI for Graph-based Approaches* *- XAI for Visualization* *- Interpretable Machine Learning* *- Transparent Data Mining* *- XAI for Fairness Checking* *- Multi-level XAI* *- Explanation, Accountability, and Liability from an Ethical and Legal Perspective* XKDD 2025 is a Workshop of the ECML-PKDD Conference: https://ecmlpkdd.org/2025/ *SUBMISSION & PUBLICATION* The submission link is: https://cmt3.research.microsoft.com/ECMLPKDDWorkshopTrack2025/ Papers must be written in English and formatted according to the Springer Lecture Notes in Computer Science (LNCS) guidelines following the style of the main conference. - The maximum length of either research or position papers is 16 pages references included. Overlength papers will be rejected without review (papers with smaller page margins and font sizes than specified in the author instructions and set in the style files will also be treated as overlength). - We also accept 2-4 pages abstracts (including references) that outline new emerging ideas or already published work, to stimulate discussion and collaboration among participants. Authors who submit their work to XKDD 2025 commit themselves to present their paper at the workshop in case of acceptance. XKDD 2025 considers the author list submitted with the paper as final. No additions or deletions to this list may be made after paper submission, either during the review period, or in case of acceptance, at the final camera ready stage. Condition for inclusion in the post-proceedings is that at least one of the co-authors has presented the paper at the workshop. Pre-proceedings will be available online before the workshop. All accepted full papers will be published as post-proceedings in LNCSI and included in the series name Lecture Notes in Computer Science. More info at: https://xkdd2025.isti.cnr.it/ *PROGRAM CO-CHAIRS* - Francesca Naretto, University of Pisa, Pisa, Italy - Francesco Spinnato, University of Pisa, Pisa, Italy - Przemyslaw Biecek, Warsaw University of Technology, Poland - Josep Domingo-Ferrer, Universitat Rovira i Virgili, Catalonia *INVITED SPEAKERS * - Andreas Theissler, Aalen University of Applied Sciences, Germany - Josep Domingo-Ferrer, Universitat Rovira i Virgili, Catalonia *STEERING COMMITTEE* - Riccardo Guidotti, University of Pisa, Italy - Anna Monreale, University of Pisa, Italy - Salvatore Rinzivillo, ISTI-CNR, Pisa, Italy - Przemyslaw Biecek, Warsaw University of Technology, Warsaw, Poland *VENUE* The event will take place at the ECML-PKDD 2025 Conference. *CONTACT* All inquires should be sent to francesca.naretto at unipi.it, francesco.spinnato at di.unipi.it -- Francesco Spinnato, Ph.D. Research Fellow University of Pisa, Italy francesco.spinnato at di.unipi.it -- Francesca Naretto Ph.D. in Data Science francesca.naretto at sns.it SNS, Pisa | CNR, Pisa -------------- next part -------------- An HTML attachment was scrubbed... URL: From kai.sauerwald at fernuni-hagen.de Thu Jun 5 11:21:33 2025 From: kai.sauerwald at fernuni-hagen.de (Kai Sauerwald) Date: Thu, 5 Jun 2025 17:21:33 +0200 Subject: Connectionists: [CFP][RuleML+RR 2025] International Joint Conference on Rules and Reasoning (Deadline Extended) Message-ID: <07ffa45a-f2de-4fff-833b-68b211b58071@fernuni-hagen.de> ############################################################################### The 9th International Joint Conference on Rules and Reasoning (RuleML+RR 2025) == Call for Papers (deadline extended) == *** RuleML+RR 2025 *** *** 22-24 September 2025 *** *** ?stanbul, T?rk?ye *** Submission deadline: June 20th, 2025 Homepage: https://2025.declarativeai.net/events/ruleml-rr RuleML+RR 2025 is part of Declarative AI 2025 (https://2025.declarativeai.net/) ############################################################################### RuleML+RR 2025 is a leading international joint conference in the field of rule-based reasoning. One of the main goals of RuleML+RR is to build bridges between academia and industry in the area of semantic reasoning. RuleML+RR 2025 aims to bring together researchers and practitioners interested in the foundations and applications of rules and reasoning. It provides a forum for stimulating cooperation between different communities focused on the research, development, and applications of rule-based systems. We solicit high-quality papers related to theoretical advances, novel technologies, and applications that involve rule-based representation and reasoning or other declarative forms of artificial intelligence. The RuleML+RR 2025 conference is part of the event ?Declarative AI: Rules, Reasoning, Decisions, and Explanations? (https://2025.declarativeai.net/) and is co-located with DecisionCAMP 2025 and the Reasoning Web Summer School. Apart from the main track, it features: * Rule Challenge (https://2025.declarativeai.net/events/ruleml-rr/rule-challenge), * Doctoral Consortium (https://2025.declarativeai.net/events/ruleml-rr/doctoral-consortium), * Industry Track (https://2025.declarativeai.net/events/ruleml-rr/industry-track), * Project Networking Session (https://2025.declarativeai.net/events/ruleml-rr/networking-session) *** Keynotes *** We are delighted to announce the following keynote speakers: * Bob Kowalski, Imperial College London (UK) * Boris Motik, University of Oxford (UK) * Esra Erdem, Sabanci University (Turkey) *** Topics *** RuleML+RR welcomes research from all areas of Rules and Reasoning. The topics of the conference include, but are not limited to: * Ontology/Semantic Web * Rules for AI and AI for Rules * Rules and Reasoning / Logics * Rules-Based Systems * Rules and Interoperability * Constraints and Schema * System Descriptions, Applications and Experiences of Ontologies and Rules See the conference homepage for more details on the topics: https://2025.declarativeai.net/events/ruleml-rr/cfp *** Important Dates *** Main track: Paper submission: June 20, 2025 Notification: July 28, 2025 Conference: September 22?24, 2025 For each of these deadlines, a cut-off point of 23:59 AOE applies. There is no dedicated abstract submission deadline. Note that there also several associated events: Rule Challenge, Doctoral Consortium, Industry Track, and the Project Networking Session. These events have submission deadlines different from the deadlines above. **Submission and Publication** High-quality papers related to theoretical advances, novel technologies, and artificial intelligence applications concerning explainable algorithmic decision-making that involve rule-based representation and reasoning are solicited. We accept the following submission formats for papers: - Long papers (up to 15 pages in LNCS style excluding references, plus 2 additional pages for references) - Short papers (up to 8 pages in LNCS style excluding references, plus 1 additional page for references) Long papers should present original and significant research and/or development results. Short papers should concisely describe general results or specific applications, systems, or position statements. All submissions must be prepared in Springer's LNCS style (http://www.springer.com/comp/lncs/authors.html). Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference/workshop with formal proceedings. Double submission to a workshop with informal proceedings is allowed. Papers put on arXiv are also allowed as long as they are not refereed (i.e., formally reviewed by peers). Submissions to the RuleML+RR conference - abide by the page limits (see above) - are not anonymous - can have additional material included as an external report (appendices to the submission are not permitted and a paper should be self-contained) Papers should be written in English and submitted using EasyChair: https://easychair.org/conferences/?conf=rulemlrr2025 The conference proceedings will be published by Springer in the Lecture Notesin Computer Science series (LNCS) after the conference. Proceedings of the associated events will be published by CEUR. Special Issues of Theory and Practice of Logic Programming and Transactions on Graph Data and Knowledge are planned with extended versions of selected papers. The main track's best paper will be awarded the RuleML+RR Harold Boley Distinguished Paper Award 2025 and best student paper will be awarded the RuleML+RR Best Student Paper Award 2025. The best RuleML Challenge paper will be awarded the RuleML+RR Best Rule Challenge Paper Award 2025. The best Doctoral Consortium paper will be awarded the RuleML+RR Best Doctoral Consortium Paper Award 2025. ***Chairs*** Program Chairs Aidan Hogan, University of Chile, Chile Ken Satoh, National Institute of Informatics, Japan Proceedings Chairs Dumitru Roman, SINTEF AS, Norway Ahmet Soylu, Kristiania University College, Norway Rule Challenge Chairs Alessandro Margara, Politecnico di Milano, Italy Tom?? Kliegr, Prague University of Economics and Business, Czechia Doctoral Consortium Chairs Shqiponja Ahmetaj, TU Wien, Austria Riccardo Tommasini, INSA Lyon, France Industry Track Chairs Luigi Bellomarini, Banca d?Italia, Italy Evgeny Kharlamov, Bosch Center for Artificial Intelligence, Germany Ioana Georgiana Ciuciu, Babe?-Bolyai University, Romania Networking Session Dumitru Roman, SINTEF AS, Norway George Konstantinidis, University of Southampton, UK Emanuel Sallinger, Vienna University of Technology, Austria Publicity Chairs Kai Sauerwald, FernUniversit?t in Hagen, Germany Tor-Morten Gr?nli, Kristiania University College, Norway Romuald Esdras Wandji, Ume? University, Sweeden From emergingtechnetwork.publicity at gmail.com Thu Jun 5 11:16:53 2025 From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=) Date: Thu, 5 Jun 2025 18:16:53 +0300 Subject: Connectionists: SNAMS-2025 (Technically Co-Sponsored by IEEE ): The 12th International Conference on Social Networks Analysis, Management and Security, Vienna, Austria, November 25-28, 2025. Message-ID: [Apologies if you got multiple copies of this invitation] The 12th International Conference on Social Networks Analysis, Management and Security (SNAMS-2025) https://emergingtechnet.org/SNAMS2025/index.php Vienna, Austria, November 25-28, 2025. ( Technically Co-Sponsored by IEEE Austrian Section) *SNAMS 2025 CFP* Social network analysis is concerned with the study of relationships between social entities. The recent advances in internet technologies and social media sites, such as Facebook, Twitter and LinkedIn, have created outstanding opportunities for individuals to connect, communicate or comment on issues or events of their interests. Social networks are dynamic and evolving in nature; they also involve a huge number of users. Frequently, the information related to a certain concept is distributed among several servers. This brings numerous challenges to researchers, particularly in the data mining and machine learning fields. The purpose of the International Conference on Social Networks Analysis, Management and Security(SNAMS-2025) is to provide a forum for researchers to present and discuss their work which is related to social network analysis. SNAMS 2025 aims to investigate the opportunities and in all aspects of Social Networks. In addition, it seeks for novel contributions that help mitigate SNAMS challenges. That is, the objective of SNAMS 2025 is to provide the opportunity for students, scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Social Networks. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to: *SYSTEMS & INFRASTRUCTURE* Systems and algorithms for social search Infrastructure support for social networks and systems Dynamics and evolution patterns of large and complex networks Social properties in systems design Learnings from operational social networks Data Collection Big Data and Social Paradigms *ALGORITHMS AND MODELS* Deep Learning and Knowledge Discovery. Measurement and analysis of social and crowdsourcing systems Benchmarking, modeling, performance and workload characterization Modeling Social Networks and behavior Management of social network data Streaming algorithms for social data Knowledge and innovation networks Methods for social and media analysis Models for network data Network analysis in human and social sciences Information propagation and assimilation in social networks Data mining and machine learning in social systems *APPLICATIONS* Novel social applications and systems Transient OSNs (e.g. Snapchat) Special purpose OSNs (e.g., Instagram, Vine) Communities in social networks Collaboration networks New models of advertising and monetization in social networks Mobile advertising on OSNs Network visualization Social networks and online education Sentiment analysis on OSNs Multilingual social networks Social networks as agents of societal change *PRIVACY & SECURITY* Privacy and security in social systems Trust and reputations in social systems Detection, analysis, prevention of spam, phishing, and misbehavior in social systems * Submission Types:* Accepted types of submissions are including: * Full papers ( up to 8 Pages), * Short papers and PhD forum (4-5 Pages), * Posters and demos (2-3 Pages). All accepted papers will be published in the conference proceedings and submitted to IEEE for publication. *SNAMS 2025 Joint Workshops * The 13th International workshop on Big Data and Social Networking Management and Security (BDSN 2025) http://emergingtechnet.org/SNAMS2025/Workshops/BDSN2025/ The 9th International Workshop on Data Science Engineering and its Applications (DSEA 2025) http://emergingtechnet.org/SNAMS2025/Workshops/DSEA2025/ The 11th International Workshop on Online Social Networks Technologies (OSNT 2025) http://emergingtechnet.org/SNAMS2025/Workshops/OSNT2025/ The 9th International Workshop on Advances in Natural Language Processing (ANLP 2025) http://emergingtechnet.org/SNAMS2025/Workshops/ANLP2025/ The 8th International Workshop on Sentiment Analysis and Mining of Social Networks (SAMSN 2025) http://emergingtechnet.org/SNAMS2025/Workshops/SAMSN2025/ The International Workshop on Cognitive and Neural Systems (CNS 2025) http://emergingtechnet.org/SNAMS2025/Workshops/CNS2025/index.php *Submissions Guidelines and Proceedings* Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11" two-column format (IEEE Templates ). All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the SNAMS Proceedings, and be submitted to IEEE for inclusion. Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers must not exceed 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and e-mail address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers *Important Dates* Submission Date: 30 June 2025 Notification to Authors: 10 September 2025 Camera Ready and Registration: 30 September 2025 Please send any inquiry to the SNAMS Team at: intelligenttechorg at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: