Cohen, Jonathan D.

19 publications

ICLRW 2025 AI-Enhanced Semantic Feature Norms for 786 Concepts Siddharth Suresh, Kushin Mukherjee, Tyler Giallanza, Xizheng Yu, Mia Patil, Jonathan D. Cohen, Timothy T. Rogers

NeurIPS 2025 Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers Andrew Joohun Nam, Henry Conklin, Yukang Yang, Thomas L. Griffiths, Jonathan D. Cohen, Sarah-Jane Leslie

ICML 2025 Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models Yukang Yang, Declan Iain Campbell, Kaixuan Huang, Mengdi Wang, Jonathan D. Cohen, Taylor Whittington Webb

ICLRW 2025 Understanding Task Representations in Neural Networks via Bayesian Ablation Andrew Joohun Nam, Declan Iain Campbell, Thomas L. Griffiths, Jonathan D. Cohen, Sarah-Jane Leslie

ICLR 2024 Abstractors and Relational Cross-Attention: An Inductive Bias for Explicit Relational Reasoning in Transformers Awni Altabaa, Taylor Whittington Webb, Jonathan D. Cohen, John Lafferty

ICLRW 2024 Human-like Geometric Abstraction in Large Pre-Trained Neural Networks Declan Iain Campbell, Sreejan Kumar, Tyler Giallanza, Jonathan D. Cohen, Thomas L. Griffiths

ICML 2024 Slot Abstractors: Toward Scalable Abstract Visual Reasoning Shanka Subhra Mondal, Jonathan D. Cohen, Taylor Whittington Webb

NeurIPS 2024 Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor Webb

NeurIPS 2023 Systematic Visual Reasoning Through Object-Centric Relational Abstraction Taylor Webb, Shanka Subhra Mondal, Jonathan D Cohen

NeurIPS 2022 Using Natural Language and Program Abstractions to Instill Human Inductive Biases in Machines Sreejan Kumar, Carlos G. Correa, Ishita Dasgupta, Raja Marjieh, Michael Y Hu, Robert Hawkins, Jonathan D Cohen, Nathaniel Daw, Karthik Narasimhan, Tom Griffiths

AAAI 2020 People Do Not Just Plan, They Plan to Plan Mark K. Ho, David Abel, Jonathan D. Cohen, Michael L. Littman, Thomas L. Griffiths

AISTATS 2018 Matrix-Normal Models for fMRI Analysis Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen

NeurIPS 2017 A Graph-Theoretic Approach to Multitasking Noga Alon, Daniel Reichman, Igor Shinkar, Tal Wagner, Sebastian Musslick, Jonathan D. Cohen, Tom Griffiths, Biswadip Dey, Kayhan Ozcimder

NeurIPS 2015 A Theory of Decision Making Under Dynamic Context Michael Shvartsman, Vaibhav Srivastava, Jonathan D. Cohen

NeurIPS 2008 Learning to Use Working Memory in Partially Observable Environments Through Dopaminergic Reinforcement Michael T. Todd, Yael Niv, Jonathan D. Cohen

NeurIPS 2008 Sequential Effects: Superstition or Rational Behavior? Angela J. Yu, Jonathan D. Cohen

NeurIPS 2005 An Exploration-Exploitation Model Based on Norepinepherine and Dopamine Activity Samuel M. McClure, Mark S. Gilzenrat, Jonathan D. Cohen

NeurIPS 1994 A Computational Model of Prefrontal Cortex Function Todd S. Braver, Jonathan D. Cohen, David Servan-Schreiber

NeurIPS 1989 The Effect of Catecholamines on Performance: From Unit to System Behavior David Servan-Schreiber, Harry Printz, Jonathan D. Cohen