Test-Time Training Agents for Deep Exploration | Jonas Hübotter, ETH Zürich | BLISS e.V.

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".

🎥 Watch to Discover:
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.

📅 Recorded on January 13, 2026, at TU Berlin.

✨ About BLISS e.V.
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.

We also host:
Weekly reading groups for in-depth discussions
Biweekly community events for hands-on learning and networking

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🔗 Event Links:
Talk-specific Meetup: https://www.meetup.com/bliss-speaker-...

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Timestamps:
00:00 Introduction
08:07 Test-time training
22:01 Test-time training agents
42:40 Conclusion
43:55 Q&A

#MachineLearning
#ArtificialIntelligence
#DeepLearning
#TestTimeTraining
#AIResearch
#ETHZurich
#BLISS