Schedule
8:15 - 8:30
Poster Organization
Hanging posters (please hang your poster)
8:30 - 8:40
Opening remarks
Noga Zaslavsky
8:40 - 9:10
The Physics of Science (Invited talk)
Karl Friston
9:10 - 9:20
States as goal-directed concepts: an epistemic approach to state-representation learning (Contributed talk)
Nadav Amir, Yael Niv, Angela Langdon
9:20- 9:50
Human Information Processing in Complex Networks (Invited talk)
Dani S. Bassett
9:50 - 10:00
Andrew Nam, Eric Elmoznino, Nikolay Malkin, Chen Sun, Yoshua Bengio, Guillaume Lajoie
10:00 - 10:30
Coffee break + posters
10:30 - 11:00
Resource-rational prediction in real and artificial neural networks (Invited talk)
Sarah Marzen
11:00 - 11:10
David Kinney, Tania Lombrozo
11:10-11:40
Information Theory for Representation Learning (Invited talk)
Alexander A. Alemi
11:40 - 12:00
Poster spotlights
What can AI Learn from Human Exploration? Intrinsically-Motivated Humans and Agents in Open-World Exploration, Alison Gopnik · Pieter Abbeel · Maria Rufova · Alyssa L Dayan · Eliza Kosoy · Yuqing Du
Active Vision with Predictive Coding and Uncertainty Minimization, Abdelrahman Sharafeldin · Nabil Imam · Hannah Choi
Natural Language Systematicity from a Constraint on Excess Entropy, Richard Futrell
The Perception-Uncertainty Tradeoff in Generative Restoration Models, Regev Cohen · Ehud Rivlin · Daniel Freedman
An Information-Theoretic Understanding of Maximum Manifold Capacity Representations, Rylan Schaeffer · Berivan Isik · Victor Lecomte · Mikail Khona · Yann LeCun · Andrey Gromov · Ravid Shwartz-Ziv · Sanmi Koyejo
Cognitive Information Filters: Algorithmic Choice Architecture for Boundedly Rational Choosers, Stefan Bucher · Peter Dayan
12:00 - 13:30
Lunch break
13:30 - 14:00
An information perspective on language, cumulative culture, and human uniqueness (Invited talk)
Noah Goodman
14:00 - 14:10
Laurent BONNASSE-GAHOT, Jean-Pierre Nadal
14:10 - 14:40
Clustering and phase transitions in self-attention dynamics (Invited talk)
Yury Polyanskiy
14:40 - 15:50
Poster session + coffee break
15:50 - 16:00
Haiyun He, Christina Yu, Ziv Goldfeld
16:00 - 16:55
Panel discussion: Information theory, cognition, and deep learning: Challenges and opportunities.
Panelists: Sarah Marzen, Dani S. Bassett, Noah Goodman, Stephan Mandt
16:55 - 17:00
Closing remarks
17:00 - 17:30