Samuel Gershman

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 18

Top Topics

Probabilistic Reasoning

Decision Making

Noisy Environments

Social Learning

Top Venues

Top. Cogn. Sci.

Publications

Younes Strittmatter, Markus Spitzer, Miguel Ruiz-Garcia, Samuel Gershman, Sebastian Musslick
Does a Curriculum Improve Perceptual Decision Making? CogSci (2023)
Reed Orchinik, Rachit Dubey, Samuel Gershman, Derek Powell, Rahul Bhui
Learning About Scientists from Climate Consensus Messaging. CogSci (2023)
Felix A. Sosa, Samuel Gershman, Tomer D. Ullman
Combining mental simulation and abstract reasoning explains people's reaction time in an intuitive physics task. CogSci (2022)
Christopher Bates, Samuel Gershman
Coding Strategies in Memory for 3D Objects: The Influence of Task Uncertainty. CogSci (2022)
Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth Narayanaswamy, Samuel Gershman, Joshua B. Tenenbaum
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. ICLR (2022)
Ruocheng Wang, Jiayuan Mao, Samuel Gershman, Jiajun Wu
Language-Mediated, Object-Centric Representation Learning. ACL/IJCNLP (Findings) (2021)
Max Kleiman-Weiner, Felix Sosa, Bill Thompson, Sebastiaan van Opheusden, Tom Griffiths, Samuel Gershman, Fiery Cushman
Downloading Culture.zip: Social learning by program induction. CogSci (2020)
Shari Liu, Fiery Cushman, Samuel Gershman, Wouter Kool, Elizabeth S. Spelke
Hard choices: Children's understanding of the cost of action selection. CogSci (2019)
Charley M. Wu, Eric Schulz, Samuel Gershman
Generalization as diffusion: human function learning on graphs. CogSci (2019)
Fiery Cushman, Samuel Gershman
Editors' Introduction: Computational Approaches to Social Cognition. Top. Cogn. Sci. 11 (2) (2019)
Max Kleiman-Weiner, Felix Sosa, Samuel Gershman, Fiery Cushman
Downloading Culture.zip: Social learning by program induction with execution traces. CogSci (2019)
Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel Gershman, Noah D. Goodman
Evaluating Compositionality in Sentence Embeddings. CogSci (2018)
Christiane Baumann, Henrik Singmann, Vassilios E. Kaxiras, Samuel Gershman, Bettina von Helversen
Explaining Human Decision Making in Optimal Stopping Tasks. CogSci (2018)
Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman
Learning to act by integrating mental simulations and physical experiments. CogSci (2018)
Felix Sosa, Tomer Ullman, Samuel Gershman, Josh Tenenbaum, Tobias Gerstenberg
Moral Dynamics: A Computational Model of Moral Judgment. CogSci (2018)
Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman
Nonparametric Spherical Topic Modeling with Word Embeddings. CoRR (2016)
Tomer Ullman, Max H. Siegel, Josh Tenenbaum, Samuel Gershman
Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension. CogSci (2016)
Kayhan N. Batmanghelich, Ardavan Saeedi, Karthik Narasimhan, Samuel Gershman
Nonparametric Spherical Topic Modeling with Word Embeddings. ACL (2) (2016)
Samuel Gershman, Joshua B. Tenenbaum
Phrase similarity in humans and machines. CogSci (2015)
Eric Schulz, Joshua B. Tenenbaum, David N. Reshef, Maarten Speekenbrink, Samuel Gershman
Assessing the Perceived Predictability of Functions. CogSci (2015)
Samuel Gershman, Peter I. Frazier, David M. Blei
Distance Dependent Infinite Latent Feature Models. IEEE Trans. Pattern Anal. Mach. Intell. 37 (2) (2015)
Samuel Gershman, David M. Blei, Kenneth A. Norman, Per B. Sederberg
Decomposing spatiotemporal brain patterns into topographic latent sources. NeuroImage 98 (2014)
Tejas D. Kulkarni, Ardavan Saeedi, Samuel Gershman
Variational Particle Approximations. CoRR (2014)
Kimberly L. Stachenfeld, Matthew Botvinick, Samuel Gershman
Design Principles of the Hippocampal Cognitive Map. NIPS (2014)
Pedro Tsividis, Samuel Gershman, Joshua B. Tenenbaum, Laura Schulz
Information Selection in Noisy Environments with Large Action Spaces. CogSci (2014)
Samuel Gershman
Dopamine Ramps Are a Consequence of Reward Prediction Errors. Neural Comput. 26 (3) (2014)
Samuel Gershman, Noah D. Goodman
Amortized Inference in Probabilistic Reasoning. CogSci (2014)
Samuel Gershman, Angela Radulescu, Kenneth A. Norman, Yael Niv
Statistical Computations Underlying the Dynamics of Memory Updating. PLoS Comput. Biol. 10 (11) (2014)
Samuel Gershman, Frank Jäkel, Joshua B. Tenenbaum
Bayesian vector analysis and the perception of hierarchical motion. CogSci (2013)
Samuel Gershman, Joshua B. Tenenbaum, Alexandre Pouget, Matthew Botvinick, Peter Dayan
Structured cognitive representations and complex inference in neural systems. CogSci (2013)
Anastasia Christakou, Samuel Gershman, Yael Niv, Andrew Simmons, Mick Brammer, Katya Rubia
Neural and Psychological Maturation of Decision-making in Adolescence and Young Adulthood. J. Cogn. Neurosci. 25 (11) (2013)
Samuel Gershman, Ahmed A. Moustafa, Elliot A. Ludvig
Time representation in reinforcement learning models of the basal ganglia. Frontiers Comput. Neurosci. 7 (2013)
Samuel Gershman, Matthew D. Hoffman, David M. Blei
Nonparametric variational inference. ICML (2012)
Samuel Gershman, Matthew D. Hoffman, David M. Blei
Nonparametric variational inference CoRR (2012)
Samuel Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman, Per B. Sederberg
The Successor Representation and Temporal Context. Neural Comput. 24 (6) (2012)
Samuel Gershman, Edward Vul, Joshua B. Tenenbaum
Multistability and Perceptual Inference. Neural Comput. 24 (1) (2012)
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
Computational, Neuroscientific, and Lifespan Perspectives on the Exploration-Exploitation Dilemma. CogSci (2011)
Samuel Gershman, David M. Blei, Francisco Pereira, Kenneth A. Norman
A topographic latent source model for fMRI data. NeuroImage 57 (1) (2011)
Samuel Gershman, Robert Wilson
The Neural Costs of Optimal Control. NIPS (2010)
Samuel Gershman, Ed Vul, Joshua B. Tenenbaum
Perceptual Multistability as Markov Chain Monte Carlo Inference. NIPS (2009)
Richard Socher, Samuel Gershman, Adler J. Perotte, Per B. Sederberg, David M. Blei, Kenneth A. Norman
A Bayesian Analysis of Dynamics in Free Recall. NIPS (2009)