Samuel J. Gershman

70 papers A* 4B 2Journal 58Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games. CoRR Lance Ying, Ryan Truong, Prafull Sharma, Kaiya Ivy Zhao, Nathan Cloos, Kelsey R. Allen, Thomas L. Griffiths, Katherine M. Collins, José Hernández-Orallo, Phillip Isola, Samuel J. Gershman, Joshua B. Tenenbaum
2026	J	`jnl`	Fast weight programming and linear transformers: from machine learning to neurobiology. Trans. Mach. Learn. Res. Kazuki Irie, Samuel J. Gershman
2026	J	`jnl`	Learning Abstractions for Hierarchical Planning in Program-Synthesis Agents. CoRR Zergham Ahmed, Kazuki Irie, Joshua B. Tenenbaum, Christopher Bates, Samuel J. Gershman
2026	J	`jnl`	Why Depth Matters in Parallelizable Sequence Models: A Lie Algebraic View. CoRR Gyuryang Heo, Timothy Ngotiaoco, Kazuki Irie, Samuel J. Gershman, Bernardo Sabatini
2025	J	`jnl`	A Variational Manifold Embedding Framework for Nonlinear Dimensionality Reduction. CoRR John J. Vastola, Samuel J. Gershman, Kanaka Rajan
2025	J	`jnl`	A circuit for predicting hierarchical structure in-context in Large Language Models. CoRR Tankred Saanum, Can Demircan, Samuel J. Gershman, Eric Schulz
2025	J	`jnl`	Adaptive Social Learning using Theory of Mind. CoRR Lance Ying, Ryan Truong, Joshua B. Tenenbaum, Samuel J. Gershman
2025	J	`jnl`	Assessing Adaptive World Models in Machines with Novel Games. CoRR Lance Ying, Katherine M. Collins, Prafull Sharma, Cédric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J. Gershman, Jacob Andreas, Thomas L. Griffiths, François Chollet, Kelsey R. Allen, Joshua B. Tenenbaum
2025	J	`jnl`	Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers. CoRR Kazuki Irie, Morris Yau, Samuel J. Gershman
2025	A*	`conf`	Do Mice Grok? Glimpses of Hidden Progress in Sensory Cortex. ICLR Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan, Venkatesh N. Murthy, Samuel J. Gershman
2025	J	`jnl`	Fast weight programming and linear transformers: from machine learning to neurobiology. CoRR Kazuki Irie, Samuel J. Gershman
2025	J	`jnl`	General Reasoning Requires Learning to Reason from the Get-go. CoRR Seungwook Han, Jyothish Pari, Samuel J. Gershman, Pulkit Agrawal
2025	J	`jnl`	Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules. CoRR John J. Vastola, Samuel J. Gershman, Kanaka Rajan
2025	J	`jnl`	Key-value memory in the brain. CoRR Samuel J. Gershman, Ila Fiete, Kazuki Irie
2025	J	`jnl`	Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning. PLoS Comput. Biol. Albert J. Qü, Lung-Hao Tai, Christopher D. Hall, Emilie M. Tu, Maria K. Eckstein, Karyna Mishchanchuk, Wan Chen Lin, Juliana Chase, Andrew F. Macaskill, Anne G. E. Collins, Samuel J. Gershman, Linda Wilbrecht
2025	—	`conf`	Position: General Intelligence Requires Reward-based Pretraining. ICML (Position Papers) Seungwook Han, Jyothish Pari, Samuel J. Gershman, Pulkit Agrawal
2025	J	`jnl`	Preemptive Solving of Future Problems: Multitask Preplay in Humans and Machines. CoRR Wilka Carvalho, Sam Hall-McMaster, Honglak Lee, Samuel J. Gershman
2025	J	`jnl`	Subjective functions. CoRR Samuel J. Gershman
2025	J	`jnl`	Synthesizing world models for bilevel planning. CoRR Zergham Ahmed, Joshua B. Tenenbaum, Christopher Bates, Samuel J. Gershman
2025	J	`jnl`	Synthesizing world models for bilevel planning. Trans. Mach. Learn. Res. Zergham Ahmed, Joshua B. Tenenbaum, Christopher Bates, Samuel J. Gershman
2024	J	`jnl`	A Hierarchical Bayesian Model of Adaptive Teaching. Cogn. Sci. Alicia M. Chen, Andrew Palacci, Natalia Vélez, Robert D. Hawkins, Samuel J. Gershman
2024	J	`jnl`	Artificial intelligence for science: The easy and hard problems. CoRR Ruairidh M. Battleday, Samuel J. Gershman
2024	J	`jnl`	Do Mice Grok? Glimpses of Hidden Progress During Overtraining in Sensory Cortex. CoRR Tanishq Kumar, Blake Bordelon, Cengiz Pehlevan, Venkatesh N. Murthy, Samuel J. Gershman
2024	A*	`conf`	Grokking as the transition from lazy to rich training dynamics. ICLR Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan
2024	J	`jnl`	Human decision making balances reward maximization and policy compression. PLoS Comput. Biol. Lucy Lai, Samuel J. Gershman
2024	J	`jnl`	Introduction to Progress and Puzzles of Cognitive Science. Cogn. Sci. Rick Dale, Ruth M. J. Byrne, Emma Cohen, Ophelia Deroy, Samuel J. Gershman, Janet H. Hsiao, Ping Li, Padraic Monaghan, David C. Noelle, Iris van Rooij, Priti Shah, Michael J. Spivey, Sashank Varma
2024	J	`jnl`	Predictive Representations: Building Blocks of Intelligence. Neural Comput. Wilka Carvalho, Momchil S. Tomov, William de Cothi, Caswell Barry, Samuel J. Gershman
2024	J	`jnl`	Predictive representations: building blocks of intelligence. CoRR Wilka Carvalho, Momchil S. Tomov, William de Cothi, Caswell Barry, Samuel J. Gershman
2024	J	`jnl`	What have we learned about artificial intelligence from studying the brain? Biol. Cybern. Samuel J. Gershman
2023	J	`jnl`	Emergence of belief-like representations through reinforcement learning. PLoS Comput. Biol. Jay A. Hennig, Sandra A. Romero Pinto, Takahiro Yamaguchi, Scott W. Linderman, Naoshige Uchida, Samuel J. Gershman
2023	J	`jnl`	Grokking as the Transition from Lazy to Rich Training Dynamics. CoRR Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan
2023	J	`jnl`	How should the advent of large language models affect the practice of science? CoRR Marcel Binz, Stephan Alaniz, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk U. Wulff, Jevin D. West, Qiong Zhang, Richard M. Shiffrin, Samuel J. Gershman, Ven Popov, Emily M. Bender, Marco Marelli, Matthew M. Botvinick, Zeynep Akata, Eric Schulz
2023	J	`jnl`	Pupil Size Encodes Uncertainty during Exploration. J. Cogn. Neurosci. Haoxue Fan, Taylor Burke, Deshawn Chatman Sambrano, Emily Dial, Elizabeth A. Phelps, Samuel J. Gershman
2023	A*	`conf`	Successor-Predecessor Intrinsic Exploration. NeurIPS Changmin Yu, Neil Burgess, Maneesh Sahani, Samuel J. Gershman
2023	J	`jnl`	The molecular memory code and synaptic plasticity: A synthesis. Biosyst. Samuel J. Gershman
2023	J	`jnl`	Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference. CoRR Qihong Lu, Tan T. Nguyen, Qiong Zhang, Uri Hasson, Thomas L. Griffiths, Jeffrey M. Zacks, Samuel J. Gershman, Kenneth A. Norman
2022	J	`jnl`	Compositional Sequence Generation in the Entorhinal-Hippocampal System. Entropy Daniel C. McNamee, Kimberly L. Stachenfeld, Matthew M. Botvinick, Samuel J. Gershman
2021	—	`conf`	CCNLab: A Benchmarking Framework for Computational Cognitive Neuroscience. NeurIPS Datasets and Benchmarks Nikhil X. Bhattasali, Momchil S. Tomov, Samuel J. Gershman
2021	J	`jnl`	Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning. CoRR Pedro A. Tsividis, João Loula, Jake Burga, Nathan Foss, Andres Campero, Thomas Pouncy, Samuel J. Gershman, Joshua B. Tenenbaum
2021	J	`jnl`	Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. CoRR Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, N. Siddharth, Samuel J. Gershman, Joshua B. Tenenbaum
2021	J	`jnl`	Neural signatures of arbitration between Pavlovian and instrumental action selection. PLoS Comput. Biol. Samuel J. Gershman, Marc Guitart-Masip, James F. Cavanagh
2021	J	`jnl`	Rational inattention and tonic dopamine. PLoS Comput. Biol. John G. Mikhael, Lucy Lai, Samuel J. Gershman
2021	J	`jnl`	What Is the Model in Model-Based Planning? Cogn. Sci. Thomas Pouncy, Pedro Tsividis, Samuel J. Gershman
2020	J	`jnl`	Analyzing Machine-Learned Representations: A Natural Language Case Study. Cogn. Sci. Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman
2020	J	`jnl`	Discovery of hierarchical representations for efficient planning. PLoS Comput. Biol. Momchil S. Tomov, Samyukta Yagati, Agni Kumar, Wanqian Yang, Samuel J. Gershman
2020	J	`jnl`	Language-Mediated, Object-Centric Representation Learning. CoRR Ruocheng Wang, Jiayuan Mao, Samuel J. Gershman, Jiajun Wu
2019	J	`jnl`	Analyzing machine-learned representations: A natural language case study. CoRR Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman
2019	J	`jnl`	Estimating Scale-Invariant Future in Continuous Time. Neural Comput. Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard
2019	B	`conf`	Human Evaluation of Models Built for Interpretability. HCOMP Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Samuel J. Gershman, Finale Doshi-Velez
2019	J	`jnl`	The Generative Adversarial Brain. Frontiers Artif. Intell. Samuel J. Gershman
2018	J	`jnl`	Estimating scale-invariant future in continuous time. CoRR Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard
2018	J	`jnl`	Evaluating Compositionality in Sentence Embeddings. CoRR Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel J. Gershman, Noah D. Goodman
2018	A*	`conf`	Human-in-the-Loop Interpretability Prior. NeurIPS Isaac Lage, Andrew Slavin Ross, Samuel J. Gershman, Been Kim, Finale Doshi-Velez
2018	J	`jnl`	Human-in-the-Loop Interpretability Prior. CoRR Isaac Lage, Andrew Slavin Ross, Been Kim, Samuel J. Gershman, Finale Doshi-Velez
2018	J	`jnl`	Pavlovian Control of Escape and Avoidance. J. Cogn. Neurosci. Alexander J. Millner, Samuel J. Gershman, Matthew K. Nock, Hanneke E. M. den Ouden
2018	J	`jnl`	Planning Complexity Registers as a Cost in Metacontrol. J. Cogn. Neurosci. Wouter Kool, Samuel J. Gershman, Fiery Cushman
2017	B	`conf`	Amortized Hypothesis Generation. CogSci Ishita Dasgupta, Eric Schulz, Noah D. Goodman, Samuel J. Gershman
2017	J	`jnl`	Dopamine, Inference, and Uncertainty. Neural Comput. Samuel J. Gershman
2017	—	`conf`	Human Learning in Atari. AAAI Spring Symposia Pedro Tsividis, Thomas Pouncy, Jaqueline L. Xu, Joshua B. Tenenbaum, Samuel J. Gershman
2017	J	`jnl`	Imaginative Reinforcement Learning: Computational Principles and Neural Mechanisms. J. Cogn. Neurosci. Samuel J. Gershman, Jimmy Zhou, Cody Kommers
2017	J	`jnl`	Predictive representations can link model-based reinforcement learning to model-free mechanisms. PLoS Comput. Biol. Evan M. Russek, Ida Momennejad, Matthew M. Botvinick, Samuel J. Gershman, Nathaniel D. Daw
2017	J	`jnl`	Variational Particle Approximations. J. Mach. Learn. Res. Ardavan Saeedi, Tejas D. Kulkarni, Vikash K. Mansinghka, Samuel J. Gershman
2016	J	`jnl`	Building Machines That Learn and Think Like People. CoRR Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, Samuel J. Gershman
2016	J	`jnl`	Deep Successor Reinforcement Learning. CoRR Tejas D. Kulkarni, Ardavan Saeedi, Simanta Gautam, Samuel J. Gershman
2016	—	`conf`	Probing the Compositionality of Intuitive Functions. NIPS Eric Schulz, Josh Tenenbaum, David Duvenaud, Maarten Speekenbrink, Samuel J. Gershman
2016	J	`jnl`	When Does Model-Based Control Pay Off? PLoS Comput. Biol. Wouter Kool, Fiery Cushman, Samuel J. Gershman
2015	J	`jnl`	A Unifying Probabilistic View of Associative Learning. PLoS Comput. Biol. Samuel J. Gershman
2015	J	`jnl`	Novelty and Inductive Generalization in Human Reinforcement Learning. Top. Cogn. Sci. Samuel J. Gershman, Yael Niv
2014	—	`ch.`	Behavioural Analysis, Bayesian. Encyclopedia of Computational Neuroscience Samuel J. Gershman
2014	—	`ch.`	Computation with Dopaminergic Modulation. Encyclopedia of Computational Neuroscience Samuel J. Gershman