2nd TempXAI Workshop for Explainable AI in Time Series and Data Streams
Co-located at ECML-PKDD 2025 in Porto
We are excited to host the second edition of our workshop on XAI research in time-series data and data streams at ECML-PKDD in beautiful Porto!
If you are interested in the cross-section of temporal data and Explainable AI consider submitting! More: lamarr-institute.github.io/tempxai25/
14.04.2025 08:45 — 👍 0 🔁 0 💬 0 📌 0
Assistant Professor at the Department of Computer Science, University of Liverpool.
https://lutzoe.github.io/
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
Math Assoc. Prof. at Aix-Marseille (France)
Currently on Sabbatical at CRM-CNRS, Université de Montréal
https://sites.google.com/view/sebastien-darses/welcome
Teaching Project (non-profit): https://highcolle.com/
Top research & education in computer science since 1969.
Computational Analytics | Visual Computing | Information Systems |Artificial Intelligence | Security | Networked Systems | Algorithms |Complexity | Intelligent Systems | Robotics
www.cs.uni-bonn.de
ML & CV for robot perception
assistant professor @ Uni Bonn & Lamarr Institute
interested in self-learning & autonomous robots, likes all the messy hardware problems of real-world experiments
https://rpl.uni-bonn.de/
https://hermannblum.net/
Parteivorsitzende Die Linke
Official Twitter account of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
https://ecmlpkdd.org/
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Die DFG ist die größte Forschungsförderorganisation und die Selbstverwaltungsorganisation der Wissenschaft in Deutschland.
www.dfg.de
Impressum: https://www.dfg.de/de/service/kontakt/impressum
Social Media-Netiquette: https://www.dfg.de/de/service/presse
Researcher in machine learning
Scientific AI/ machine learning, dynamical systems (reconstruction), generative surrogate models of brains & behavior, applications in neuroscience & mental health
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
ML Researcher @ Aalto University 🇫🇮.
Previous: TU Graz 🇦🇹, originally from 🇩🇪.
Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits
https://trappmartin.github.io/
Professor of AI, DTAI, KU Leuven; Wallenberg Guestprofessor AASS, Örebro University; Director http://Leuven.AI, AAAI and EurAI Fellow, Former PC Chair IJCAI, ICML, ECAI and ECMLPKDD, ERC AdG 2015 and 2023
🎓 CS Prof at UCLA
🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
Senior assistant prof at University of Trento. I dig Explainable AI, Neuro-Symbolic AI, Interactive ML, Constraints & Circuits.
https://stefanoteso.github.io/ . I "maintain" https://github.com/stefanoteso/awesome-explanatory-supervision .
