Samuel Gershman

According to our database, Samuel Gershman authored at least 83 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Introduction to Progress and Puzzles of Cognitive Science.

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

Cogn. Sci., July, 2024

A Hierarchical Bayesian Model of Adaptive Teaching.

Alicia M. Chen, Andrew Palacci, Natalia Vélez, Robert D. Hawkins, Samuel J. Gershman

Cogn. Sci., July, 2024

What have we learned about artificial intelligence from studying the brain?

Samuel J. Gershman

Biol. Cybern., April, 2024

Human decision making balances reward maximization and policy compression.

Lucy Lai, Samuel J. Gershman

PLoS Comput. Biol., 2024

Predictive Representations: Building Blocks of Intelligence.

Wilka Carvalho, Momchil S. Tomov, William de Cothi, Caswell Barry, Samuel J. Gershman

Neural Comput., 2024

Artificial intelligence for science: The easy and hard problems.

Ruairidh M. Battleday, Samuel J. Gershman

CoRR, 2024

Grokking as the transition from lazy to rich training dynamics.

Tanishq Kumar, Blake Bordelon, Samuel J. Gershman, Cengiz Pehlevan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Pupil Size Encodes Uncertainty during Exploration.

Haoxue Fan, Taylor Burke, Deshawn Chatman Sambrano, Emily Dial, Elizabeth A. Phelps, Samuel J. Gershman

J. Cogn. Neurosci., September, 2023

The molecular memory code and synaptic plasticity: A synthesis.

Samuel J. Gershman

Biosyst., February, 2023

Emergence of belief-like representations through reinforcement learning.

Jay A. Hennig, Sandra A. Romero Pinto, Takahiro Yamaguchi, Scott W. Linderman, Naoshige Uchida, Samuel J. Gershman

PLoS Comput. Biol., 2023

Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference.

Qihong Lu, Tan T. Nguyen, Qiong Zhang, Uri Hasson, Thomas L. Griffiths, Jeffrey M. Zacks, Samuel J. Gershman, Kenneth A. Norman

CoRR, 2023

How should the advent of large language models affect the practice of science?

Marcel Binz, Stephan Alaniz, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk 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

CoRR, 2023

Successor-Predecessor Intrinsic Exploration.

Changmin Yu, Neil Burgess, Maneesh Sahani, Samuel J. Gershman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does a Curriculum Improve Perceptual Decision Making?

Younes Strittmatter, Markus Spitzer, Miguel Ruiz-Garcia, Samuel Gershman, Sebastian Musslick

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Learning About Scientists from Climate Consensus Messaging.

Reed Orchinik, Rachit Dubey, Samuel Gershman, Derek Powell, Rahul Bhui

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Compositional Sequence Generation in the Entorhinal-Hippocampal System.

Daniel C. McNamee, Kimberly L. Stachenfeld, Matthew M. Botvinick, Samuel J. Gershman

Entropy, December, 2022

Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface.

Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth Narayanaswamy, Samuel Gershman, Joshua B. Tenenbaum

Proceedings of the Tenth International Conference on Learning Representations, 2022

Combining mental simulation and abstract reasoning explains people's reaction time in an intuitive physics task.

Felix A. Sosa, Samuel Gershman, Tomer D. Ullman

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Coding Strategies in Memory for 3D Objects: The Influence of Task Uncertainty.

Christopher Bates, Samuel Gershman

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Rational inattention and tonic dopamine.

John G. Mikhael, Lucy Lai, Samuel J. Gershman

PLoS Comput. Biol., 2021

Neural signatures of arbitration between Pavlovian and instrumental action selection.

Samuel J. Gershman, Marc Guitart-Masip, James F. Cavanagh

PLoS Comput. Biol., 2021

Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning.

Pedro A. Tsividis, João Loula, Jake Burga, Nathan Foss, Andres Campero, Thomas Pouncy, Samuel J. Gershman, Joshua B. Tenenbaum

CoRR, 2021

What Is the Model in Model-Based Planning?

Thomas Pouncy, Pedro Tsividis, Samuel J. Gershman

Cogn. Sci., 2021

CCNLab: A Benchmarking Framework for Computational Cognitive Neuroscience.

Nikhil X. Bhattasali, Momchil S. Tomov, Samuel J. Gershman

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Language-Mediated, Object-Centric Representation Learning.

Ruocheng Wang, Jiayuan Mao, Samuel Gershman, Jiajun Wu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Discovery of hierarchical representations for efficient planning.

Momchil S. Tomov, Samyukta Yagati, Agni Kumar, Wanqian Yang, Samuel J. Gershman

PLoS Comput. Biol., 2020

Analyzing Machine-Learned Representations: A Natural Language Case Study.

Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman

Cogn. Sci., 2020

Downloading Culture.zip: Social learning by program induction.

Max Kleiman-Weiner, Felix Sosa, Bill Thompson, Sebastiaan van Opheusden, Tom Griffiths, Samuel Gershman, Fiery Cushman

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Editors' Introduction: Computational Approaches to Social Cognition.

Fiery Cushman, Samuel Gershman

Top. Cogn. Sci., 2019

Estimating Scale-Invariant Future in Continuous Time.

Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, Marc W. Howard

Neural Comput., 2019

The Generative Adversarial Brain.

Samuel J. Gershman

Frontiers Artif. Intell., 2019

An Evaluation of the Human-Interpretability of Explanation.

Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Sam Gershman, Finale Doshi-Velez

CoRR, 2019

Human Evaluation of Models Built for Interpretability.

Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Samuel J. Gershman, Finale Doshi-Velez

Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019

Generalization as diffusion: human function learning on graphs.

Charley M. Wu, Eric Schulz, Samuel Gershman

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Hard choices: Children's understanding of the cost of action selection.

Shari Liu, Fiery Cushman, Samuel Gershman, Wouter Kool, Elizabeth S. Spelke

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Downloading Culture.zip: Social learning by program induction with execution traces.

Max Kleiman-Weiner, Felix Sosa, Samuel Gershman, Fiery Cushman

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Pavlovian Control of Escape and Avoidance.

Alexander J. Millner, Samuel J. Gershman, Matthew K. Nock, Hanneke E. M. den Ouden

J. Cogn. Neurosci., 2018

Planning Complexity Registers as a Cost in Metacontrol.

Wouter Kool, Samuel J. Gershman, Fiery Cushman

J. Cogn. Neurosci., 2018

How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation.

Menaka Narayanan, Emily Chen, Jeffrey He, Been Kim, Sam Gershman, Finale Doshi-Velez

CoRR, 2018

Human-in-the-Loop Interpretability Prior.

Isaac Lage, Andrew Slavin Ross, Samuel J. Gershman, Been Kim, Finale Doshi-Velez

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Moral Dynamics: A Computational Model of Moral Judgment.

Felix Sosa, Tomer D. Ullman, Samuel Gershman, Josh Tenenbaum, Tobias Gerstenberg

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning to act by integrating mental simulations and physical experiments.

Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Evaluating Compositionality in Sentence Embeddings.

Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel Gershman, Noah D. Goodman

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Explaining Human Decision Making in Optimal Stopping Tasks.

Christiane Baumann, Henrik Singmann, Vassilios E. Kaxiras, Samuel Gershman, Bettina von Helversen

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Predictive representations can link model-based reinforcement learning to model-free mechanisms.

Evan M. Russek, Ida Momennejad, Matthew M. Botvinick, Samuel J. Gershman, Nathaniel D. Daw

PLoS Comput. Biol., 2017

Dopamine, Inference, and Uncertainty.

Samuel J. Gershman

Neural Comput., 2017

Imaginative Reinforcement Learning: Computational Principles and Neural Mechanisms.

Samuel J. Gershman, Jimmy Zhou, Cody Kommers

J. Cogn. Neurosci., 2017

Variational Particle Approximations.

Ardavan Saeedi, Tejas D. Kulkarni, Vikash K. Mansinghka, Samuel J. Gershman

J. Mach. Learn. Res., 2017

Accountability of AI Under the Law: The Role of Explanation.

Finale Doshi-Velez, Mason Kortz, Ryan Budish, Chris Bavitz, Sam Gershman, David O'Brien, Stuart Schieber, James Waldo, David Weinberger, Alexandra Wood

CoRR, 2017

Amortized Hypothesis Generation.

Ishita Dasgupta, Eric Schulz, Noah D. Goodman, Samuel J. Gershman

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Human Learning in Atari.

Pedro Tsividis, Thomas Pouncy, Jaqueline L. Xu, Joshua B. Tenenbaum, Samuel J. Gershman

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

When Does Model-Based Control Pay Off?

Wouter Kool, Fiery Cushman, Samuel J. Gershman

PLoS Comput. Biol., 2016

Building Machines That Learn and Think Like People.

Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, Samuel J. Gershman

CoRR, 2016

Deep Successor Reinforcement Learning.

Tejas D. Kulkarni, Ardavan Saeedi, Simanta Gautam, Samuel J. Gershman

CoRR, 2016

Probing the Compositionality of Intuitive Functions.

Eric Schulz, Josh Tenenbaum, David Duvenaud, Maarten Speekenbrink, Samuel J. Gershman

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension.

Tomer D. Ullman, Max H. Siegel, Josh Tenenbaum, Samuel Gershman

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Nonparametric Spherical Topic Modeling with Word Embeddings.

Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Novelty and Inductive Generalization in Human Reinforcement Learning.

Samuel J. Gershman, Yael Niv

Top. Cogn. Sci., 2015

A Unifying Probabilistic View of Associative Learning.

Samuel J. Gershman

PLoS Comput. Biol., 2015

Distance Dependent Infinite Latent Feature Models.

Samuel Gershman, Peter I. Frazier, David M. Blei

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Assessing the Perceived Predictability of Functions.

Eric Schulz, Joshua B. Tenenbaum, David N. Reshef, Maarten Speekenbrink, Samuel Gershman

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Phrase similarity in humans and machines.

Samuel Gershman, Joshua B. Tenenbaum

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Computation with Dopaminergic Modulation.

Samuel J. Gershman

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Behavioural Analysis, Bayesian.

Samuel J. Gershman

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Statistical Computations Underlying the Dynamics of Memory Updating.

Samuel Gershman, Angela Radulescu, Kenneth A. Norman, Yael Niv

PLoS Comput. Biol., 2014

Decomposing spatiotemporal brain patterns into topographic latent sources.

Samuel Gershman, David M. Blei, Kenneth A. Norman, Per B. Sederberg

NeuroImage, 2014

Dopamine Ramps Are a Consequence of Reward Prediction Errors.

Samuel Gershman

Neural Comput., 2014

Variational Particle Approximations.

Tejas D. Kulkarni, Ardavan Saeedi, Samuel Gershman

CoRR, 2014

Design Principles of the Hippocampal Cognitive Map.

Kimberly L. Stachenfeld, Matthew M. Botvinick, Samuel Gershman

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Information Selection in Noisy Environments with Large Action Spaces.

Pedro Tsividis, Samuel Gershman, Joshua B. Tenenbaum, Laura Schulz

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Amortized Inference in Probabilistic Reasoning.

Samuel Gershman, Noah D. Goodman

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Neural and Psychological Maturation of Decision-making in Adolescence and Young Adulthood.

Anastasia Christakou, Samuel Gershman, Yael Niv, Andrew Simmons, Mick Brammer, Katya Rubia

J. Cogn. Neurosci., 2013

Time representation in reinforcement learning models of the basal ganglia.

Samuel Gershman, Ahmed A. Moustafa, Elliot A. Ludvig

Frontiers Comput. Neurosci., 2013

Structured cognitive representations and complex inference in neural systems.

Samuel Gershman, Joshua B. Tenenbaum, Alexandre Pouget, Matthew M. Botvinick, Peter Dayan

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Bayesian vector analysis and the perception of hierarchical motion.

Samuel Gershman, Frank Jäkel, Joshua B. Tenenbaum

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Multistability and Perceptual Inference.

Samuel Gershman, Edward Vul, Joshua B. Tenenbaum

Neural Comput., 2012

The Successor Representation and Temporal Context.

Samuel Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman, Per B. Sederberg

Neural Comput., 2012

Nonparametric variational inference.

Samuel Gershman, Matthew D. Hoffman, David M. Blei

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

A topographic latent source model for fMRI data.

Samuel Gershman, David M. Blei, Francisco Pereira, Kenneth A. Norman

NeuroImage, 2011

Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma.

A. Ross Otto, W. Bradley Knox, Bradley C. Love, Samuel Gershman, Yael Niv, Darrell A. Worthy, W. Todd Maddox, Jared M. Hotaling, Jerome R. Busemeyer, Richard M. Shiffrin

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

The Neural Costs of Optimal Control.

Samuel Gershman, Robert Wilson

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

A Bayesian Analysis of Dynamics in Free Recall.

Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Perceptual Multistability as Markov Chain Monte Carlo Inference.

Samuel Gershman, Ed Vul, Joshua B. Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009