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Coffee and Check-In
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Talk By
Florent Krzakala (EPFL Lausanne)
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Break
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Strong Generalization from Small Brains and No Training Data
Bruno Olshausen (UC Berkeley)
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Break
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How machine learning is influencing protein engineering
Jennifer Listgarten (UC Berkeley)
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Lunch (on your own)
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Frame-shifting and Conceptual Blending: What do large language models have to say?
Seana Coulson (UC San Diego)
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Break
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Richard M. Karp Distinguished Lecture | Po-Ling Loh
Po-Ling Loh (University of Cambridge)
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Coffee and Check-In
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Temporal Context in Brains and AI
Terry Sejnowski (UC San Diego)
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Break
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Polymathic AI: Advancing Science through Multidisciplinary AI
Shirley Ho (Flatiron Institute/ NYU)
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Break
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Generalization in the representations and computations of frontier language models.
Joshua Batson (Anthropic)
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Lunch (on your own)
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Panel on the future of scientific research and education
Konrad Kording (University of Pennsylvania), Florent Krzakala (École polytechnique fédérale de Lausanne), Shirley Ho (Flatiron Institute/ NYU), Joshua Batson (Anthropic), Adam Klivans (UT Austin), Fanny Yang (ETH Zurich), Russell Impagliazzo (UC San Diego)
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Welcome Reception
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Coffee and Check-In
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First-Person Fairness in Chatbots
Adam Tauman Kalai (Open AI)
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Break
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Off-the-shelf Algorithmic Stability
Rebecca Willett (University of Chicago)
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Break
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Learning Theory of Transformers: Generalization and Optimization of In-Context Learning
Taiji Suzuki (University of Tokyo)
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Lunch (on your own)
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The Curious Incident of Developing Artificial General Intelligence
Jimmy Ba (xAI)
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Fireside Chat
Peter Bickel (UC Berkeley)
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Break
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On Memorization of Large Language Models in Logical Reasoning
Chiyuan Zhang (Google Research)
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Coffee and Check-In
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Convex Analysis at Infinity: An Introduction to Astral Space and Fireside Chat
Robert Schapire (Microsoft Research)
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Break
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Debate: Sparks versus Embers
Sebastien Bubeck (Open AI), Tom McCoy (Yale University), Anil Ananthaswamy (Simons Institute), Pavel Izmailov (Anthropic), Ankur Moitra (MIT)
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Lunch (on your own)
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A New Paradigm for Learning with Distribution Shift
Adam Klivans (University of Texas at Austin)
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Understanding the abilities of AI systems: Memorization, generalization, and points in between
Tom McCoy (Yale University)
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Break
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Weak-to-Strong Generalization
Pavel Izmailov (Anthropic)
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Coffee and Check-In
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Generalization insights from actual cognition
Konrad Kording (University of Pennsylvania)
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Break
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Generalization via analogy in young children and Large Models.
Alison Gopnik (UC Berkeley)
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Break
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The Wisdom of the Body Revisited
Ben Recht (UC Berkeley)
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MPG Potluck