Name: #28 AI Series: ETH Zürich - J. Hübotter
Start: 2026-01-13T18:45:00+01:00
End: 2026-01-13T20:45:00+01:00
Location: C130, Institut für Chemie, Technische Universität Berlin

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**: *TBD*

**Bio**: [Jonas](https://jonhue.github.io/) 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](https://bliss.berlin/) 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](https://bliss.berlin/)
Youtube: [https://www.youtube.com/@bliss.ev.berlin](https://www.youtube.com/@bliss.ev.berlin)

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

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BLISS AI Speaker Series 2025/26

Technology

Machine Learning

Artificial Intelligence

Presentations

Researchers

Education

Social Networking

Deep Learning

Data Science

#28 AI Series: ETH Zürich - J. Hübotter

C130, Institut für Chemie, Technische Universität Berlin

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BLISS AI Speaker Series 2025/26

#28 AI Series: ETH Zürich - J. Hübotter

BLISS AI Speaker Series 2025/26

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