Schedule

The session will cover invited talks, contributed talks and posters. The tentative schedule in Pacific Time (GMT-7) can be found below. All events take place at Meeting Room 205-207.


Time Session Details
8:30 - 8:45 Welcome Session Opening remarks and announcement of the best papers by Andreas Krause
8:45-8:55 Best Paper Award Language Modeling Track E3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
8:55-9:05 Best Paper Award AI for Science Track A Diffusion Model to Shrink Proteins While Maintaining their Function
9:05-9:15 Best Paper Award Theory Track Provably Learning from Language Feedback
9:15-9:25 Best Paper Award Robotics Track Blindfolded Experts Generalize Better: Insights from Robotic Manipulation and Videogames
9:30-10:00 Invited Talk Alison Gopnik
10:00-10:30 Invited Talk Sergey Levine: Exploration with Prior Knowledge
10:30-11:00 Invited Talk Jeff Clune: Open-Ended and AI-Generating Algorithms in the Era of Foundation Models
11:00-11:45 Panel Discussion Led by Andrew Wagenmaker and Parnian Kassraie. Panelists: Jeff Clune, Masatoshi Uehara, Ji Won Park, Aviral Kumar, Kevin Jamieson, Andreas Krause
11:45-14:15 Poster session and lunch -
14:15-14:45 Invited talk Natasha Jaques: Exploration in Human-AI Cooperation
14:45-15:15 Invited talk Dylan Foster: Theoretical Foundations for Exploration with Language Models
15:15-15:45 Invited talk Wenhao Yu: Laying the Bricks for Scalable Robot Learning
15:45-16:00 Coffee break Sponsored
16:00-16:30 Invited talk Masatoshi Uehara: Reward-Guided Generation in Diffusion Models: Toward Programmable Protein Design
16:30-17:00 Invited talk Ji Won Park: Targeting the Multivariate Tails in AI-driven Molecular Optimization
17:00-17:15 Closing remarks Given by Kevin Jamieson