Research
ELLIS Unit Freiburg is dedicated to advancing autonomous learning, uniting expertise in efficient learning, trustworthy ML, and physical AI.
Programs
Explore programs that our ELLIS unit offers — connecting researchers, providing training and mobility opportunities, and contributing to policy work.
Upcoming Events
We regularly organize official ELLIS/ELIZA social events in Freiburg. This involves short talks from ELLIS/ELIZA students followed by discussion starting at 17:30 usually, following a BBQ at the Technische Fakultät campus or a visit to a pub, providing the perfect opportunity for networking. The location for the talks is the seminar room of Building 080. If you want to participate in the next event, please send an email to the organizers to be added to the official mailing list.
Past Events
July 1st, 2026
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IMBIT, NEXUS Lab, Georges Köhler Allee 201, 79110 Freiburg
Inference-Time Alignment of Diffusion-Based Trajectory Planners for Autonomous Driving
Diffusion models have emerged as a powerful class of generative trajectory planners for autonomous driving, capable of producing diverse, multimodal motion plans from large-scale demonstration data. Yet deploying such models in safety-critical settings raises a recurring challenge: how to steer...
Talk
June 29th, 2026
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IMBIT, NEXUS Lab, Georges Köhler Allee 201, 79110 Freiburg
Pre-ICML Poster Session 2026
The ELLIS Units Freiburg and Darmstadt, together with the ZUSE School ELIZA, cordially invite you and your research group to the Pre-ICML Poster Session 2026.
Join researchers from our regional AI community to exchange ideas, network, and showcase recent publications at top-tier AI and machine...
Poster Session
June 19th, 2026
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Georges-Köhler-Allee 80, Robot Learning Lab, Room 00.021
Uncertainty-Driven Safe Continual Improvement of Generative Robot Policies
Generative robot policies, such as diffusion policies and vision-language-action models, have demonstrated impressive capabilities for solving complex, long-horizon tasks. However, deploying these models in our ever-changing real world, where robots must continuously adapt to novel situations...
Talk
