| 2026-02-26 |
Nested Learning: The Illusion of Deep Learning Architectures |
Ali Behrouz |
paper · slides · YouTube |
| 2026-03-05 |
Three Dogmas of Reinforcement Learning |
David Abel |
paper · slides · YouTube |
| 2026-03-12 |
Illuminating the Three Dogmas of Reinforcement Learning under Evolutionary Light |
Mani Hamidi |
paper · slides · YouTube |
| 2026-04-02 |
What neuroscience can tell AI about learning in continuously changing environments |
Daniel Durstewitz |
paper · slides · YouTube |
| 2026-MM-DD |
What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models |
Keyon Vafa |
paper · slides · YouTube |
| 2026-04-09 |
Intrinsic Goals for Autonomous Agents: Model-Based Exploration in Virtual Zebrafish Predicts Ethological Behavior and Whole-Brain Dynamics |
Reece Keller |
paper · slides · YouTube |
| 2026-04-16 |
World Modeling with Probabilistic Structure Integration |
Dan Yamins |
paper · slides · YouTube |
| 2026-MM-DD |
AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability |
Fernando Rosas |
paper · slides · YouTube |
| 2026-05-07 |
Subjective functions |
Samuel Gershman |
paper · slides · YouTube |
