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Samuel J. Gershman
Professor, Harvard University
Joined
July 2019
Names
Samuel J. Gershman
(Preferred)
,
Samuel Gershman
Emails
****@fas.harvard.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Professor
Harvard University
(harvard.edu)
2015
–
Present
Advisors, Relations & Conflicts
Postdoc Advisor
Josh Tenenbaum
2013
–
2015
PhD Advisor
Yael Niv
2007
–
2013
PhD Advisor
Ken Norman
2007
–
2013
Expertise
cognitive science
Present
nonparametric Bayes
Present
neuroscience
Present
Publications
Learning Abstractions for Hierarchical Planning in Program-Synthesis Agents
Zergham Ahmed
,
Kazuki Irie
,
Joshua B. Tenenbaum
,
Chris Bates
,
Samuel J. Gershman
Submitted to ICLR 2026
Readers:
Everyone
A circuit for predicting hierarchical structure in-context in Large Language Models
Tankred Saanum
,
Can Demircan
,
Samuel J. Gershman
,
Eric Schulz
Submitted to ICLR 2026
Readers:
Everyone
Variational Agent Discovery
Aneesh Muppidi
,
Samuel J. Gershman
,
Wilka Carvalho
ICLR 2026 Conference Withdrawn Submission
Readers:
Everyone
Assessing Adaptive World Models in Machines with Novel Games
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
,
Francois Chollet
,
Kelsey R Allen
,
Joshua B. Tenenbaum
LAW
Readers:
Everyone
A Variational Manifold Embedding Framework for Nonlinear Dimensionality Reduction
John J. Vastola
,
Samuel J. Gershman
,
Kanaka Rajan
NeurReps 2025 Proceedings
Readers:
Everyone
Actual or counterfactual? Asymmetric responsibility attributions in language models
Eric Bigelow
,
Yang Xiang
,
Tobias Gerstenberg
,
Tomer Ullman
,
Samuel J. Gershman
CogInterp @ NeurIPS 2025 Poster
Readers:
Everyone
Fast weight programming and linear transformers: from machine learning to neurobiology
Kazuki Irie
,
Samuel J. Gershman
Accepted by TMLR
Readers:
Everyone
Blending Complementary Memory Systems in Hybrid Quadratic-Linear Transformers
Kazuki Irie
,
Morris Yau
,
Samuel J. Gershman
NeurIPS 2025 poster
Readers:
Everyone
Gradient Descent as Loss Landscape Navigation: a Normative Framework for Deriving Learning Rules
John Vastola
,
Samuel J. Gershman
,
Kanaka Rajan
NeurIPS 2025 poster
Readers:
Everyone
Synthesizing world models for bilevel planning
Zergham Ahmed
,
Joshua B. Tenenbaum
,
Chris Bates
,
Samuel J. Gershman
Accepted by TMLR
Readers:
Everyone
View all 96 publications
Co-Authors
A. Ross Otto
Adler J. Perotte
Adrian Weller
Agni Kumar
Ahmed A. Moustafa
Alexander J. Millner
Alexandra Wood
Alexandre Pouget
Anastasia Christakou
Andreas Stuhlmüller
Andres Campero
Andrew Simmons
Andrew Slavin Ross
Aneesh Muppidi
Angela Radulescu
Ann Huang
Ardavan Saeedi
Been Kim
Bettina von Helversen
Bill Thompson
Blake Bordelon
Bradley C. Love
Brenden M. Lake
Can Demircan
Cengiz Pehlevan
View all 160 co-authors