BEGIN:VCALENDAR VERSION:2.0 PRODID:-//elias-ai - ECPv6.15.17.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:elias-ai X-ORIGINAL-URL:https://elias-ai.eu X-WR-CALDESC:Events for elias-ai REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Rome BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20231029T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20241027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240612T090000 DTEND;TZID=Europe/Rome:20240612T170000 DTSTAMP:20260418T142506 CREATED:20240417T103851Z LAST-MODIFIED:20240905T123736Z UID:3198-1718182800-1718211600@elias-ai.eu SUMMARY:#CVTS2024 - Computer Vision Trento Symposium | 12 June 2024 DESCRIPTION:About\n \n \n \n \n \n \n\n\n\n\n\n\n\n\n\nThe Computer Vision Trento Symposium (CVTS) is organised to bring together scientists\, researchers\, students\, practitioners\, and enthusiasts who share an interest in computer vision. This one-day event will showcase an invited keynote and series of oral and poster presentations. This year\, 11 presentations will be featured on works that will be presented at IEEE Computer Vision and Pattern Recognition 2024 conference. CVTS will be held on Wednesday 12th June 2024. There will also be a link to join remotely. Free registration is required to attend in person.\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Programme\n \n \n \n \n \n \n\n\n \n \n Event Programme\n \n \n\n\n \n \n \n \n Time\n Event\n Speakers\n \n \n \n \n 9:00\n Welcome\n Fabio Poiesi\n \n \n 9:10\n Keynote: Semantic 3D reconstruction and understanding from images\n Alessio Del Bue\n \n \n 10:00\n Open-vocabulary object 6D pose estimation\n Jaime Corsetti\, Davide Boscaini\, Changjae Oh\, Andrea Cavallaro\, Fabio Poiesi\n \n \n 10:20\n Geometrically-driven aggregation for zero-shot 3D point cloud understanding\n Guofeng Mei\, Luigi Riz\, Yiming Wang\, Fabio Poiesi\n \n \n 10:40\n Point cloud pre-training with diffusion models\n Xiao Zheng\, Xiaoshui Huang\, Guofeng Mei\, Yuenan Hou\, Zhaoyang Lyu\, Bo Dai\, Wanli Ouyang\, Yongshun Gong\n \n \n 11:00\n Coffee break\n \n \n \n 11:20\n DiffAssemble: A unified graph-diffusion model for 2D and 3D reassembly\n Gianluca Scarpellini\, Stefano Fiorini\, Francesco Giuliari\, Pietro Morerio\, Alessio Del Bue\n \n \n 11:40\n PAIR Diffusion: A comprehensive multimodal object-level image editor\n Vidit Goel\, Elia Peruzzo\, Yifan Jiang\, Dejia Xu\, Xingqian Xu\, Nicu Sebe\, Trevor Darrell\, Zhangyang Wang\, Humphrey Shi\n \n \n 12:00\n Test-time zero-shot temporal action localization\n Benedetta Liberatori\, Alessandro Conti\, Paolo Rota\, Yiming Wang\, Elisa Ricci\n \n \n 12:20\n SHiNe: Semantic hierarchy nexus for open-vocabulary object detection\n Mingxuan Liu\, Tyler Hayes\, Elisa Ricci\, Gabriela Csurka\, Riccardo Volpi\n \n \n 12:40\n Lunch break\n \n \n \n 14:00\n Poster session\n \n \n \n 15:00\n Coffee break\n \n \n \n 15:20\n Riemannian multiclass logistics regression for SPD neural networks\n Ziheng Chen\, Yue Song\, Gaowen Liu\, Ramana Kompella\, Xiaojun Wu\, Nicu Sebe\n \n \n 15:40\n Harnessing large language models for training-free video anomaly detection\n Luca Zanella\, Willi Menapace\, Massimiliano Mancini\, Yiming Wang\, Elisa Ricci\n \n \n 16:00\n MULTIFLOW: Shifting towards task-agnostic vision-language pruning\n Matteo Farina\, Massimiliano Mancini\, Elia Cunegatti\, Gaowen Liu\, Giovanni Iacca\, Elisa Ricci\n \n \n 16:20\n OpenBias: Open-set bias detection in generative model\n Moreno D'Incà\, Elia Peruzzo\, Massimiliano Mancini\, Dejia Xu\, Vidit Goel\, Xingqian Xu\, Zhangyang Wang\, Humphrey Shi\, Nicu Sebe\n \n \n 16:40\n Closing\n Fabio Poiesi\n \n \n \n\n \n \n For more details\, visit our website.\n \n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n View the official website\n \n \n \n \n \n \n \n Register here\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n Details\n Date: June 12 \n Time: 9:00 - 17:00 \n Event Category: Symposium \n Website\n Visit Event Website \n Organisers\n Fondazione Bruno Kessler \n University of Trento \n \n \n Venue\n Fondazione Bruno Kessler \n Via Sommarive 18 \n Povo\, Trento \n Italy \n \n \n \n \n View Venue Website \n \n \n\n \n © 2024 Event Organisation. All rights reserved.\n \n\n\n\n\n  URL:https://elias-ai.eu/event/cvts2024/ LOCATION:The University of Manchester\, Oxford Road\, Manchester\, Manchester\, M13 9PL\, United Kingdom CATEGORIES:Symposium ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/04/CVTS2024.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240611T080000 DTEND;TZID=Europe/Rome:20240613T170000 DTSTAMP:20260418T142506 CREATED:20240517T082934Z LAST-MODIFIED:20240905T130642Z UID:3344-1718092800-1718298000@elias-ai.eu SUMMARY:ELLIS Summer School on Machine Learning for Healthcare and Biology | 11-13 June 2024 DESCRIPTION:Following the success of last year\, Manchester’s European Laboratory for Learning and Intelligent Systems (ELLIS) unit are hosting their second Summer School during 11-13 June 2024\, which will bring participants up-to-speed on the latest methods and technologies in machine learning with a focus on healthcare and biology. The school includes a set of Lectures by renowned researchers at the intersection of ML and Healthcare and Biology\, and with an excellent track record of delivering educational content. \nSpeaking at this year’s event are: \n\nMihaela van der Schaar (University of Cambridge)\nST John (Finnish Center for Artificial Intelligence\, Aalto University) \nCheng Zhang (Microsoft Research)\nJose-Miguel Hernández-Lobato (University of Cambridge)\nDanielle Belgrave (GSK)\nAlex Frangi (The University of Manchester)\nFabio De Sousa-Riberio (Imperial College London)\nDennis Wang (Imperial College London and A*STAR Singapore Institute for Clinical Sciences)\nTom Diethe (AstraZeneca)\nHananeh Aliee (Sanger Institute)\nLuisa Cutillo (University of Leeds)\nJulien Gagneur (Technical University of Munich)\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Check the full programme here\n \n \n \n \n \n \n \n Book your tickets now\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n\n\n\n\nELLIS Summer School Scholarship\nELLIS Manchester is committed to fostering diversity and inclusive in research and acknowledges the financial challenges faced by researchers from economically disadvantaged backgrounds. To address this issue\, we are pleased to announce our ‘ELLIS Manchester Development Scholarship’\, aimed at providing financial assistance to applicants facing economic hardships during their research pursuits. \nApplicants must be currently enrolled in a PhD program or PDRAs in the early stages of their careers. Financial need must be demonstrated and should also demonstrate a commitment to contributing to diversity and inclusion in their respective fields. \nIf you believe you should be considered\, please email ellis@manchester.ac.uk\, including a brief summary to tell us about you\, your research and to demonstrate the need of support to attend the ELLIS summer school. The selection will made by the ELLIS Manchester Steering Group. As this funding is limited\, we recommend you apply as early as you can. \n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\n\n\n\n\n\nELLIS Manchester Summer School 2023 \nTo find out more about what our summer schools are like\, you can view full details of our 2023 summer school here and view the 2023 talks via our youtube playlist below. \n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n \n Details\n Start: June 11 @ 8:00 \n End: June 13 @ 17:00 \n Website\n Event Website \n Organiser\n ELLIS Unit Manchester \n View Organiser Website \n \n \n Add to Calendar\n \n \n \n\n \n \n Venue\n Location: The University of Manchester \n Oxford Road\, Manchester\, M13 9PL United Kingdom \n \n \n \n \n \n View Venue Website \n \n \n\n \n © 2024 The University of Manchester. All rights reserved. URL:https://elias-ai.eu/event/ellis-summer-school-on-machine-learning-for-healthcare-and-biology-11-13-june-2024/ LOCATION:The University of Manchester\, Oxford Road\, Manchester\, Manchester\, M13 9PL\, United Kingdom ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/04/2-2.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240610T080000 DTEND;TZID=Europe/Rome:20240614T170000 DTSTAMP:20260418T142506 CREATED:20240108T103950Z LAST-MODIFIED:20240905T130432Z UID:1355-1718006400-1718384400@elias-ai.eu SUMMARY:Hybrid Human-Artificial Intelligence Conference - #HHAI2024 DESCRIPTION:HHAI 2024 Conference\n \n \n\n\n Join us at the forefront of innovation! The Hybrid Human-Artificial Intelligence (HHAI) Conference Series returns to Malmö\, Sweden from June 10-14\, 2024 for its third edition\, bringing together the brightest minds in AI and human collaboration. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n About HHAI\nExplore the dynamic world where AI systems enhance and amplify human intelligence. The HHAI conference fosters synergy between humans and machines\, emphasizing adaptability\, collaboration\, and ethical responsibility. Our mission is to shape intelligent systems that complement human strengths\, addressing critical social\, ethical\, and legal issues. \nField Collaboration\nHHAI invites bold\, groundbreaking approaches driven by the latest AI advancements. We encourage collaboration across diverse fields\, including AI\, Human-Computer Interaction\, social sciences\, philosophy\, and ethics. Scholars are welcome to submit original research and visionary ideas on Hybrid Human-Artificial Intelligence. \n🗓️ Important Dates\n\nAbstract Submission: February 2\, 2024\nPaper Submission: February 9\, 2024\nAcceptance Notification: March 29\, 2024\nCamera-Ready Version: April 12\, 2024\nConference Dates: June 10-14\, 2024\n\nWhy Attend HHAI 2024?\nExplore the future of AI and human collaboration through cutting-edge research and innovative ideas. We welcome both established and emerging scholars\, encouraging a rich exchange of perspectives and in-progress works. \n \n \n \n \n \n   \n🔗 Submission Details: Visit HHAI 2024 Submission for guidelines. \n#HHAI2024 #AIConference #CollaborativeInnovation \n  \n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n \n Details\n Start: June 10 @ 8:00 \n End: June 14 @ 17:00 \n Event Category: Conferences \n Event Tags: artificialintelligence\, Opportunities \n Website\n Conference Website \n Organiser\n Malmö University \n \n \n Add to Calendar\n \n \n \n\n \n \n Venue\n Location: Malmö University – Niagara \n Nordenskiöldsgatan 1\, Malmo\, 211 19 Sweden \n \n \n \n \n \n View Venue Website \n \n \n\n \n © 2024 Malmö University. All rights reserved. URL:https://elias-ai.eu/event/hybrid-human-artificial-intelligence-conference-hhai2024/ LOCATION:Malmö University – Niagara\, Nordenskiöldsgatan 1\,\, Malmo\, 211 19\, Sweden CATEGORIES:Conferences ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/01/6.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240429T080000 DTEND;TZID=Europe/Rome:20240503T170000 DTSTAMP:20260418T142506 CREATED:20240515T120843Z LAST-MODIFIED:20240905T125506Z UID:3329-1714377600-1714755600@elias-ai.eu SUMMARY:Sciencepreneurship Summer School 2024: Sustainability & AI DESCRIPTION:A week-long summer school of talks\, workshops\, and socials on turning scientific innovation into societal impact through entrepreneurship.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n \n \n \n accomodation included | travel grants available | course credit (1 ECTS) \n \n \n \n \n \n Rolling admissions – deadline March 22\, 2024 \n \n \n \n \n \n Aim \nThe aim of this summer school is to address the following questions by sharing knowledge\, experiences\, and pitfalls about how to transform scientific advances into societal impact through entrepreneurship: \n\nHow can science be directly valuable for society and scale from lab to market?\nHow to get and choose the right team\, funding\, advisors\, and legal setup?\nWhat are common pitfalls in this process\, and how to avoid them?\n\nProgram \nThe program of this summer school is tailored to provide the participants with a framework to develop the societal impact of scientific advances. \n\nFirst\, participants present a scientific innovation and form co-founding teams. 👩‍🔬🧑‍🔬\nThen\, putting the school its lectures\, workshops\, and socials into practice\, teams shape their science-based business. 🚀\nFinally\, participants pitch their work to a jury\, receive feedback\, and compete for a prize. 🏆\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n I'm Interested\n \n \n \n \n \n \n \n Apply here\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n View detailed schedule\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Entrepreneurial graduate students from any institute\n \n \n \n \n \n The Sciencepreneurship Summer School focuses on enhancing the exchange between entrepreneurially interested graduate students – mainly PhD students – from EPFL\, ETH Zurich\, and other leading institutes from around the world. Participation is highly competitive and the total number of participants is limited with admissions on a rolling basis. \nThe organizing committee is committed to creating a diverse and inclusive summer school. We encourage all students with an interest to apply. If you have any questions regarding eligibility\, feel free to reach out. \nGot any questions? You can reach us on arnout.devos@epfl.ch \n \n \n \n \n \n \n \n \n "\n \n Apply here\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n \n Details\n Start: April 29 @ 8:00 \n End: May 3 @ 17:00 \n Website\n sciencepreneurship.ch \n \n \n Add to Calendar\n \n \n \n\n \n \n Venue\n Location: Lausanne\, Switzerland \n Lausanne\, Switzerland \n View on Google Maps \n \n \n\n \n © 2024 Sciencepreneurship. All rights reserved. URL:https://elias-ai.eu/event/sciencepreneurship-summer-school-2024-sustainability-ai/ LOCATION:Lausanne\, Switzerland\, Lausanne\, Switzerland ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/05/SciencepreneurshipSummerSchool2024.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240306T160000 DTEND;TZID=Europe/Rome:20240306T170000 DTSTAMP:20260418T142506 CREATED:20240227T071115Z LAST-MODIFIED:20240905T125212Z UID:2821-1709740800-1709744400@elias-ai.eu SUMMARY:CLAIRE X NoEs AQuA: Women in AI DESCRIPTION:The CLAIRE All Questions Answered (AQuA) Series continues with a collaborative online discussion involving the AI Networks of Excellence (NoEs) – this time featuring great Women in AI in the spotlight! \nWomen account for less than 25% of AI specialists. Let’s shine a light on some of the excellent female researchers in the AI field\, their successes\, but also some of the obstacles they face as workers in this male-dominated field. \nWe will explore some of the pivotal stages and points in the careers of women when deciding and working in the area of AI\, thus both early-stage female researchers as well as established female leaders in the AI field will be ready to answer all of the questions. \nJoin us for one hour online and don’t be shy – all questions will be answered! \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n   \nThis event is organised under CLAIRE by CLAIRE | Prague\, CLAIRE | Zurich\, VISION and Networks of Excellence Centres (NoEs)\, in particular: \n\nELIAS\, ENFIELD\, euROBIN\, AI4Media\, HumanE-AI-Net\n\n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n \n Details\n Date: March 6 \n Time: 16:00 - 17:00 \n Event Tags: #AImadeinEurope\, #IWD2024\, #WomeninScience\, #WomeninSTEM\, WomeninAI \n Website\n Watch on YouTube \n Organiser\n AI NoEs \n \n \n Add to Calendar\n \n \n \n\n \n \n Venue\n Location: ONLINE \n \n \n\n \n © 2024 AI NoEs. All rights reserved. URL:https://elias-ai.eu/event/claire-x-noes-aqua-women-in-ai/ LOCATION:ONLINE ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/02/CLAIRE_AQuA_WomenAI_06032024.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240227T170000 DTEND;TZID=Europe/Rome:20240227T180000 DTSTAMP:20260418T142506 CREATED:20240226T090615Z LAST-MODIFIED:20240905T125319Z UID:2745-1709053200-1709056800@elias-ai.eu SUMMARY:AI Excellence Lecture on Learning manipulation skills from instructional videos DESCRIPTION:Abstract: People easily learn how to change a flat tire of a car or perform resuscitation by observing other people doing the same task\, for example\, in an instructional video. This involves advanced visual intelligence abilities such as interpreting sequences of human actions that manipulate objects to achieve a specific task. Currently\, however\, there is no artificial system with a similar level of cognitive visual competence. In this talk\, I will describe our recent progress on learning from instructional videos how people manipulate objects and demonstrate transferring the learnt skill to a robotic manipulator. \nLecturer: Dr. Josef Sivic holds a distinguished researcher position at the Institute of Robotics\, Informatics and Cybernetics at the Czech Technical University in Prague where he heads the Intelligent Machine Perception team and the ELLIS Unit Prague. He received the habilitation degree from Ecole Normale Superieure in Paris in 2014 and PhD from the University of Oxford in 2006. After Phd he was a post-doctoral associate at the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. He received the British Machine Vision Association Sullivan Thesis Prize\, three test-of-time awards at major computer vision conferences\, an ERC Starting Grant and\, in 2023\, an ERC Advanced Grant. \nAbout AIDA: The four ICT-48 networks (AI4Media\, ELISE\, HumanE-AI NET\, TAILOR) and the VISION project joined forces and\, under the joint initiative of VISION and AI4Media\, founded a new joint instrument to support a world-level AI education and research programme. \nThe International AI Doctoral Academy (AIDA) has been created for offering access to knowledge and expertise and attracting PhD talents in Europe. AIDA offers free\, top-notch AI Excellence Lecture Series\, featuring senior experts and promising juniors\, encouraging active participation\, and providing easy access through multiple channels \n🔗 For more information: Artificial Intelligence Doctoral Academy – AI Excellence Lecture Series \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n \n Details\n Date: February 27 \n Time: 17:00 - 18:00 \n Event Tags: AI\, visualintelligence \n \n \n Add to Calendar\n \n \n Organiser\n AIDA – Artificial Intelligence Doctoral Academy \n \n\n \n \n Venue\n Location: ONLINE \n \n \n\n \n © 2024 AIDA – Artificial Intelligence Doctoral Academy. All rights reserved. URL:https://elias-ai.eu/event/ai-excellence-lecture-on-learning-manipulation-skills-from-instructional-videos/ LOCATION:ONLINE ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/02/7-1.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240207 DTEND;VALUE=DATE:20240209 DTSTAMP:20260418T142506 CREATED:20240207T135225Z LAST-MODIFIED:20240905T124847Z UID:2224-1707264000-1707436799@elias-ai.eu SUMMARY:Joint ELIAS-ELISE Flagship Workshop DESCRIPTION:Theme\nThis workshop aims to initiate tangible actions supported by ELIAS and ELISE to empower the next generation of talent\, establish foundational models\, and foster startups. Key measures the projects seek to align on include an annual meeting on open source foundation models and sciencepreneurship\, a European graduate project programme\, a pan-EU incubation programme\, and a call for sciencepreneur fellows and units akin to the European Lab for Learning and Intelligent Systems (ELLIS) network’s calls for fellows and units. \n  \n\n\nLocation\nOur venue is the NH Collection Frankfurt Spin Tower Hotel\, Frankfurt\, Germany. \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n  \n\n\nProgramme\n\n \n \n \n \n \n \n\n\n \n \n Event Programme\n \n \n\n\n \n \n \n \n Time\n Activity\n \n \n \n \n \n 12:00 - 13:00\n Registration & Coffee\n \n \n 13:00 - 13:15\n Official Start of Workshop & Welcome by Matthias Bethge (Tübingen AI Center & ELLIS Fellow)\n \n \n 13:15 - 14:50\n Speakers: Yann LeCun (Meta)\, Katharina Frey (Swiss Foreign Ministry & ICAIN)\, Laura Morselli (CINECA & EuroHPC)\, Jenia Jitsev (LAION-ELLIS Member)\n \n \n 14:50 - 15:30\n Coffee break\n \n \n 15:30 - 17:00\n Speakers: Ce Zhang (Together AI)\, Samuel Weinbach (IPAI Aleph Alpha)\, Daniel Naeff (Swiss AI)\n \n \n 17:00 - 18:00\n Open discussion on Annual Meeting for Open Source community\, spotlight presentations (Moderated by Matthias Bethge)\n \n \n 18:00 - 20:00\n Joint dinner\n \n \n 20:00 - 20:45\n Intro about ELIAS and briefing on ELIAS measures (Nicu Sebe - ELIAS Coordinator & ELLIS Fellow)\n \n \n 20:45\n Time for open discussions at the hotel bar\n \n\n \n \n 09:00 - 09:05\n Welcome (Matthias Bethge)\n \n \n 09:05 - 09:20\n Gregor von Dulong: “Learnings from building and scaling entrepreneurship education at HPI”\n \n \n 09:20 - 09:30\n Wieland Brendel (ELLIS Scholar): “Polybot”\n \n \n 09:30 - 10:00\n Isabelle Siegrist: “Building a pan-European Accelerator”\n \n \n 10:00 - 12:00\n Breakout groups on:\n - How to build the ELIAS Innovation Alliance (EIA)\, define the narrative\, and set up a call for sciencepreneur fellows\, units\, graduation projects (Matthias Bethge & Arnout Devos)\n - How to set up an annual meeting for AI (Daniel Naeff & Wieland Brendel)\n - How to set up a Pan-EU incubation program for AI Startups? (Isabelle Siegrist)\n \n \n \n 12:00 - 13:30\n Joint lunch\n \n \n 13:30 - 16:00\n Further spotlight presentations:\n - Steffen Schneider (KI macht Schule)\n - Le Viet (La Famiglia)\n - Beyza Ermis (Cohere AI)\n Presentation and discussion of breakout group results.\n Discussion of White paper\n \n \n \n \n\n \n \n For more details\, visit our website.\n \n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n This workshop is co-organised with ELISE – European Network of AI Excellence Centres\, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 951847. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n \n Details\n Start: February 7 \n End: February 8 \n Event Category: Workshops \n Event Tags: eliasproject\, elise\, ellis\, foundationmodels\, sciencepreneurship \n \n \n Add to Calendar\n \n \n Organiser\n University of Tübingen \n \n\n \n \n Venue\n Location: NH Collection Frankfurt Spin Tower Hotel \n Güterplatz 1\, Frankfurt\, 60237 Germany \n \n \n \n \n \n View Venue Website \n \n \n\n \n © 2024 NH Collection Frankfurt Spin Tower Hotel. All rights reserved. URL:https://elias-ai.eu/event/elias-elise-workshop/ LOCATION:NH Collection Frankfurt Spin Tower Hotel\, Güterplatz 1\, Frankfurt\, 60237\, Germany CATEGORIES:Workshops ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/02/Joint-ELI-3.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240130T170000 DTEND;TZID=Europe/Rome:20240130T180000 DTSTAMP:20260418T142506 CREATED:20240122T141121Z LAST-MODIFIED:20240904T163829Z UID:2104-1706634000-1706637600@elias-ai.eu SUMMARY:AI Excellence Lecture on Deep learning and Process Understanding for Data-Driven Earth System Science DESCRIPTION:Abstract: For a better understanding of the Earth system we need a stronger integration of observations and (mechanistic) models. Classical model-data integration approaches start with a model structure and try to estimate states or parameters via data assimilation and inverse modelling\, respectively. Sometimes\, several model structures are employed and evaluated\, e.g. in Bayesian model averaging\, but still parametric model structures are assumed. Recently\, Reichstein et al. (2019) proposed a fusion of machine learning and mechanistic modelling approaches into so-called hybrid modelling. Ideally\, this combines scientific consistency with the versatility of data driven approaches and is expected to allow for better predictions and better understanding of the system\, e.g. by inferring unobserved variables. This talk will elaborate on developments of this concept and illustrate its promise but also challenges with examples on biosphere-atmosphere exchange\, and carbon and water cycles from the ecosystem to the global scale. \nLecturer: Prof. Dr. Markus Reichstein  is Director of the Biogeochemical Integration Department at the Max-Planck-Institute for Biogeochemistry. His main research interests revolve around the response and feedback of ecosystems (vegetation and soils) to climatic variability with an Earth system perspective. Of specific interest is the interplay of climate extremes with ecosystem and societal resilience. He is addressing these topics with a combination of artificial intelligence and system modelling approaches to exploit the wealth of experimental\, ground- and satellite-based Earth observations. \nAbout AIDA: The four ICT-48 networks (AI4Media\, ELISE\, HumanE-AI NET\, TAILOR) and the VISION project joined forces and\, under the joint initiative of VISION and AI4Media\, founded a new joint instrument to support a world-level AI education and research programme. \nThe International AI Doctoral Academy (AIDA) has been created for offering access to knowledge and expertise and attracting PhD talents in Europe. AIDA offers free\, top-notch AI Excellence Lecture Series\, featuring senior experts and promising juniors\, encouraging active participation\, and providing easy access through multiple channels \n🔗 For more information: Artificial Intelligence Doctoral Academy – AI Excellence Lecture Series \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n Details\n Date: January 30 \n Time: 17:00 - 18:00 \n Event Category: Lectures & Seminars \n \n \n Add to Calendar\n \n \n \n \n Website\n \n Deep Learning and Process Understanding for Data-Driven Earth System Science\n \n \n \n Venue\n Location: ONLINE \n \n \n Organiser\n AIDA – Artificial Intelligence Doctoral Academy \n View Organiser Website \n \n \n \n © 2024 AIDA – Artificial Intelligence Doctoral Academy. All rights reserved. URL:https://elias-ai.eu/event/ai-excellence-lecture-on-deep-learning-and-process-understanding-for-data-driven-earth-system-science/ LOCATION:ONLINE CATEGORIES:Lectures & Seminars ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/02/7-1.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240117 DTEND;VALUE=DATE:20240120 DTSTAMP:20260418T142506 CREATED:20240110T144009Z LAST-MODIFIED:20240904T180529Z UID:1520-1705449600-1705708799@elias-ai.eu SUMMARY:ELLIS Multimodal Learning Systems Workshop on Multimodal Foundation Models DESCRIPTION:Theme\n \n \n \n \n \n Multimodal foundation models are a revolutionary class of AI models that provides impressive abilities to generate content (text\, images\, sound\, videos\, protein structures\, and more)\, and do so by interactive prompts in a seemingly creative manner. These foundation models are often autoregressive\, self-supervised\, transformer-based models that are pre-trained on large volumes of data\, typically collected from the web. They already form the basis of all state-of-the-art systems in computer vision and natural language processing across a wide range of tasks and have shown impressive few-shot learning abilities. The perceived intelligence and adaptability of models like ChatGPT\, Stable Diffusion\, Gemini\, and GPT4 impress\, but their aptitude to produce inaccurate\, misleading\, or false information (and present it confidently and convincingly) makes them unsuitable for any task of importance and poses serious societal concerns. In this workshop we present recent advances on multimodal foundation models from academia and industry and discuss their impact and implications moving forward. \n \n \n \n \n \n Location\n \n \n \n \n \n The workshop is hosted at the Mathematisches Forschungsinstitut Oberwolfach (MFO). Accommodation and meals will take place in Hotel Hirschen\, which is within walking distance of the MFO. \n \n \n \n \n \n The workshop is hosted at the Mathematisches Forschungsinstitut Oberwolfach (MFO). Accommodation and meals will take place in Hotel Hirschen\, which is within walking distance of the MFO. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n Event Programme\n \n \n\n\n \n Programme\n \n Wednesday January 17\n \n \n 15:00 - 19:00\n Arrival of attendees\, time for socializing and discussion\n \n \n 19:00 - 22:00\n Opening dinner at Hotel Hirschen\n \n \n \n Thursday January 18\n \n \n 08:00 - 09:30\n Breakfast at Hotel Hirschen\n \n \n 09:30 - 11:00\n \n Morning Session I: Foundation Models (Chair: Yiannis Kompatsiaris)\n FoMO without FOMO by Karteek Alahari (Inria)\n Towards 3D Human Foundation Models by Cristian Sminchisescu (Google)\n What multimodal foundation models cannot perceive by Cees Snoek (University of Amsterdam)\n Are Foundation Models the tool for Social Embodied AI? by Xavier Alameda-Pineda (Inria)\n \n \n \n 11:00 - 11:30\n Coffee break\n \n \n 11:30 - 12:30\n \n Morning Session II: Vision & Language (Chair: Dima Damen)\n Vocabulary-free Image Classification by Elisa Ricci (University of Trento)\n Coreference resolution in narrated images by Hakan Bilen (The University of Edinburgh)\n Vision-Language Self-Supervised Learning by Shaogang Gong (Queen Mary\, University of London)\n \n \n \n 12:30 - 14:00\n Lunch break at Hotel Hirschen\n \n \n 14:00 - 15:30\n \n Afternoon Session I: Generative AI (Chair: Karteek Alahari)\n Images & text: alignment\, generation and compression by Jakob Verbeek (Meta)\n Measuring the Quality of Generative Neural Networks - An Unsolved Problem by Juergen Gall (University of Bonn)\n Controllable generation for Analysis and Synthesis by Ioannis Patras (Queen Mary\, University of London)\n Improving Fairness using Vision-Language Driven Image Augmentation by Nicu Sebe (University of Trento)\n \n \n \n 15:30 - 16:00\n Coffee break\n \n \n 16:00 - 17:00\n \n Afternoon Session II: Multimodality (Chair: Xavier Alameda-Pineda)\n Multi-modality in Egocentric Vision - Contradictory and complementary signals by Dima Damen (University of Bristol)\n Multimodal LLMs for Document Understanding by Dimosthenis Karatzas (Universitat Autónoma de Barcelona)\n Large Multimodal Models for Media and Journalism by Yiannis Kompatsiaris (Information Technologies Institute\, CERTH)\n \n \n \n 17:00 - 18:30\n Discussion Session (Chairs: Cees Snoek & Nicu Sebe)\n \n \n 19:00 - 22:00\n Dinner at Hotel Hirschen\n \n \n \n Friday January 19\n \n \n 08:00 - 10:00\n Breakfast at Hotel Hirschen\n \n \n 10:00 onwards\n Departure\n \n \n \n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n Details\n Start: January 17 \n End: January 19 \n Event Category: Workshops \n \n \n Add to Calendar\n \n \n Website\n Multimodal FoMO Workshop \n Organiser\n ELLIS\, ELISE & ELIAS \n \n \n Venue\n Location: Mathematisches Forschungsinstitut Oberwolfach (MFO) \n Schwarzwaldstraße 9-11\, Oberwolfach-Walke\, 77709 Germany \n Phone: +49 (0) 7834 979-0 \n View Venue Website \n \n \n \n \n \n \n \n\n \n © 2024 ELLIS\, ELISE & ELIAS. All rights reserved. URL:https://elias-ai.eu/event/workshop-on-multimodal-foundation-models/ LOCATION:Mathematisches Forschungsinstitut Oberwolfach (MFO)\, Schwarzwaldstraße 9-11\, Oberwolfach-Walke\, 77709\, Germany CATEGORIES:Workshops ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/01/8-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240116T170000 DTEND;TZID=Europe/Rome:20240116T180000 DTSTAMP:20260418T142506 CREATED:20240108T130849Z LAST-MODIFIED:20240904T163744Z UID:1452-1705424400-1705428000@elias-ai.eu SUMMARY:AI Excellence Lecture on Hybrid & Causal Machine learning in the Earth sciences DESCRIPTION:Abstract: Most problems in Earth sciences aim to do inferences about the system\, where accurate predictions are just a tiny part of the whole problem. Inferences mean understanding variables relations\, deriving models that are physically plausible\, that are simple parsimonious\, and mathematically tractable. While machine learning models excel as approximators\, they often disregard fundamental physics laws\, compromising consistency and confidence. To address these challenges\, we propose exploring the interplay between domain knowledge and machine learning. Physics-aware and hybrid machine learning models are seen as necessary steps toward understanding the data-generating process\, with causality offering significant advancements. I will discuss recent hybrid and causal machine learning methodologies to attain consistent and explainable results. This work outlines a collective\, long-term AI agenda for developing algorithms that can discover knowledge in the Earth system. \nLecturer: Professor Gustau Camps-Valls is a Full Professor in Electrical Engineering at the Universitat de Valencia. He is an expert in machine learning  algorithms for geosciences and remote sensing data analysis\, having published extensively. He has a Ph.D. in Physics and is an IEEE Distinguished Lecturer. He has received two European Research Council (ERC) grants and holds a Hirsch’s index h=88 (Google Scholar). He is also a Highly Cited Researcher since 2020. Gustau has achieved significant recognition with numerous awards and honors\, including IEEE Fellow (2018)\, ELLIS Fellow (2019)\, Fellow of the European Academy of Sciences (EurASc)\, the Academia Europeae (AE)\, and the Asia-Pacific Artificial Intelligence Association (AAIA) all in 2021. \nAbout AIDA: The four ICT-48 networks (AI4Media\, ELISE\, HumanE-AI NET\, TAILOR) and the VISION project joined forces and\, under the joint initiative of VISION and AI4Media\, founded a new joint instrument to support a world-level AI education and research programme. \nThe International AI Doctoral Academy (AIDA) has been created for offering access to knowledge and expertise and attracting PhD talents in Europe. AIDA offers free\, top-notch AI Excellence Lecture Series\, featuring senior experts and promising juniors\, encouraging active participation\, and providing easy access through multiple channels \n🔗 For more information: Artificial Intelligence Doctoral Academy – AI Excellence Lecture Series \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n Details\n Date: January 16 \n Time: 17:00 - 18:00 \n Event Category: Lectures & Seminars \n \n AI\n ML\n \n \n \n Add to Calendar\n \n \n \n \n Website\n \n Hybrid Causal Machine Learning in the Earth Sciences\n \n \n \n Venue\n Location: ONLINE \n \n \n Organiser\n AIDA – Artificial Intelligence Doctoral Academy \n View Organiser Website \n \n \n \n © 2024 AIDA – Artificial Intelligence Doctoral Academy. All rights reserved. URL:https://elias-ai.eu/event/hybrid-causal-machine-learning-in-the-earth-sciences/ LOCATION:ONLINE CATEGORIES:Lectures & Seminars ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/02/7-1.png END:VEVENT END:VCALENDAR