Gershman, Samuel J.

13 publications

TMLR 2026 Fast Weight Programming and Linear Transformers: From Machine Learning to Neurobiology Kazuki Irie, Samuel J. Gershman

NeurIPS 2025 Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers Kazuki Irie, Morris Yau, Samuel J. Gershman

ICLR 2025 Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan, Venkatesh N Murthy, Samuel J. Gershman

NeurIPS 2025 Gradient Descent as Loss Landscape Navigation: A Normative Framework for Deriving Learning Rules John Vastola, Samuel J. Gershman, Kanaka Rajan

ICML 2025 Position: General Intelligence Requires Reward-Based Pretraining Seungwook Han, Jyothish Pari, Samuel J. Gershman, Pulkit Agrawal

TMLR 2025 Synthesizing World Models for Bilevel Planning Zergham Ahmed, Joshua B. Tenenbaum, Chris Bates, Samuel J. Gershman

ICMLW 2024 Asymptotic Dynamics for Delayed Feature Learning in a Toy Model Blake Bordelon, Tanishq Kumar, Samuel J. Gershman, Cengiz Pehlevan

ICLR 2024 Grokking as the Transition from Lazy to Rich Training Dynamics Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan

NeurIPS 2023 Successor-Predecessor Intrinsic Exploration Changmin Yu, Neil Burgess, Maneesh Sahani, Samuel J Gershman

NeurIPS 2018 Human-in-the-Loop Interpretability Prior Isaac Lage, Andrew Ross, Samuel J Gershman, Been Kim, Finale Doshi-Velez

JMLR 2017 Variational Particle Approximations Ardavan Saeedi, Tejas D. Kulkarni, Vikash K. Mansinghka, Samuel J. Gershman

NeurIPS 2016 Probing the Compositionality of Intuitive Functions Eric Schulz, Josh Tenenbaum, David K. Duvenaud, Maarten Speekenbrink, Samuel J Gershman

NeurIPS 2014 Design Principles of the Hippocampal Cognitive mAP Kimberly L Stachenfeld, Matthew Botvinick, Samuel J Gershman