#28 AI Series: ETH Zürich - J. Hübotter

We are excited to feature Jonas Hübotter, who is currently a PhD student at ETH Zürich and will discuss "Test-Time Training Agents for Deep Exploration", lasting approximately 45 minutes. After the talk, seize the opportunity to connect with fellow AI enthusiasts to share ideas and questions while enjoying free drinks and pizza. Door close by 7.15pm, so please come early! Also, "attend"ing (RSVP) here on Meetup is strictly necessary to be guaranteed entry.
Please note that Meetup has recently been quite keen on promoting its Plus program. However, you are not obligated to purchase it, as both our events and the platform remain free.

Who is this event for?
This event is open to everyone interested in state-of-the-art AI research. We especially design it for students, PhD candidates, academic researchers, and industry professionals with a research focus in machine learning.

Abstract: The standard paradigm of machine learning separates training and testing. Training aims to learn a model by extracting general rules from data, and testing applies this model to new, unseen data. We study an alternative paradigm where the model is trained at test-time specifically for the given task. We investigate why such test-time training can effectively specialize a model to individual tasks. Further, we demonstrate that such test-time training enables models to continually improve and eventually solve challenging tasks, which are out of reach for the initial model.

Bio: Jonas is a PhD student in the Learning and Adaptive Systems Group at ETH Zurich, advised by Andreas Krause. His research focuses on test-time training and reinforcement learning, with broader interests in probabilistic inference, optimization, and online learning. He received an MSc in Theoretical Computer Science and Machine Learning from ETH Zurich, where he was awarded the ETH Medal, and a BSc in Computer Science and Mathematics from the Technical University of Munich. His work has been published at NeurIPS, ICLR, ICML, and COLM.

We are BLISS e.V., the AI organization in Berlin that connects like-minded individuals who share great interest and passion for the field of machine learning. This winter 2025/26, we will, again, host an exciting speaker series on site in Berlin, featuring excellent researchers from Tübingen AI Center, DeepMind, Microsoft, King's College London, cohere, and ETH Zürich.
Website: https://bliss.berlin
Youtube: https://www.youtube.com/@bliss.ev.berlin

Disclaimer: By attending this event you agree to be photographed.