All talks listed in Pacific Time. Schedule subject to change.

–
Coffee and Check-in
–
Opening Remarks
–
Combining innate concepts with learning to perceive the world
Shimon Ullman (Weizmann Institute)
–
Break
–
What is the right "token" for next-token visual prediction?
Shiry Ginosar (UC Berkeley)
–
Toward a Theory of Perspective Perception in Pictures
Aaron Hertzmann (Adobe)
–
Lunch (on your own)
–
Neural computations for geometric reasoning
Bruno Olshausen (UC Berkeley)
–
Lightning Talk: Louis Kang
Louis Kang (UC Berkeley)
–
Characterizing the impact of noise on neural computation
Alex Williams (NYU, Flatiron Institute)
–
Break
–
Seeing Faces in Things: A Model and Dataset for Pareidolia
Bill Freeman (MIT)
–
Discussion (Lead: Phillip Isola)
–
Reception
–
Coffee and Check-in
–
Audio-visual self-supervised baby learning
Andrew Zisserman (Oxford University)
–
Lightning Talk: Kaylene Stocking
Kaylene Stocking (UC Berkeley)
–
Break
–
Linking Learning and Control via the Apical Dendrites
Blake Richards (McGill University)
–
Lunch (on your own)
–
Empowerment Gain as Causal Learning
Alison Gopnik (UC Berkeley)
–
How does human and primate intelligence compare?
Amanda Seed (University of St Andrews)
–
Break
–
Putting ourselves out of business
Ted Adelson (MIT)
–
Discussion (Lead: Shimon Ullman)
–
Coffee and Check-in
–
Manipulation teaches perception about abstraction
Pietro Perona (California Institute of Technology)
–
Break
–
Climbing the Ladder of Causation Toward Mid-Level Vision
Dan Yamins (Stanford University)
–
A Multimodal Automated Interpretability Agent
Antonio Torralba (MIT)
–
Lunch (on your own)
–
Physical problem-solving in minds and machines
Kelsey Allen (DeepMind)
–
Relational Predictive Reasoning in Brains and Machines
Kim Stachenfeld (DeepMind, Columbia)
–
Break
–
Going beyond the here and now: Counterfactual simulation in human cognition
Tobias Gerstenberg (Stanford University)
–
Through a glass, darkly: Approximations, hacks, and workarounds in intuitive physics and imagination
Tomer Ullman (Harvard University)
–
Discussion (Lead: Blake Richards)
–
New Models of Human Hearing via Machine Learning
Josh McDermott (MIT)
–
Auditory cortex plasticity supports social learning
Dan Sanes (Center for Neural Science, New York University)
–
Break
–
Principles of learning in distributed neural networks
Andrew Saxe (University College London)
–
The Evolutionary Sweet-Spot for Cognition
Thomas Morgan (Arizona State)
–
Discussion (Lead: Alyosha Efros)
–
Coffee and Check-in
–
Discussion (Lead: Amanda Seed)
–
Pathway to Robot Intelligence
Pulkit Agrawal (MIT)
–
Break
–
The Role of Prior Data in Rapid Learning of Motor Skills
Sergey Levine (UC Berkeley)
–
Lunch (on your own)
–
Lightning Talk: Gily Ginosar
Gily Ginosar (Weizmann Institute of Science)
–
Robot learning, with inspiration from child development
Jitendra Malik (UC Berkeley)
–
The Platonic Representation Hypothesis
Phillip Isola (MIT)
–
Break
–
Probing Neural Plasticity to Novel Color Vision in the Human Brain
Ren Ng (UC Berkeley)
–
Lightning Talks: Tongzhou Wang, Antonio Loquercio, and Annya Dahmani
Tongzhou Wang (Massachusetts Institute of Technology), Antonio Loquercio (UC Berkeley), Annya Dahmani (UC Berkeley)
–
Closing Words