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Nathaniel D. Daw
Full Professor, Princeton Neuroscience Institute, Princeton University
Joined
July 2019
Names
Nathaniel D. Daw
(Preferred)
,
Nathaniel Daw
Emails
****@princeton.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@google.com
(Confirmed)
,
****@deepmind.com
,
****@nyu.edu
,
****@cns.nyu.edu
,
****@gatsby.ucl.ac.uk
,
****@xwf.google.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Career & Education History
Full Professor
Princeton Neuroscience Institute,
Princeton University
(princeton.edu)
2015
–
Present
Researcher
DeepMind
(deepmind.edu)
2022
–
2023
Associate Professor
New York University
(nyu.edu)
2007
–
2015
Postdoc
University College London, University of London
(ucl.edu)
2003
–
2006
Advisors, Relations & Conflicts
Family
Yael Niv
2007
–
Present
Postdoc Advisor
Peter Dayan
2004
–
2007
PhD Advisor
David Touretzky
1997
–
2003
Expertise
Computatioanal Neuroscience
Present
Publications
How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals
Dharshan Kumaran
,
Viorica Patraucean
,
Simon Osindero
,
Petar Veličković
,
Nathaniel D. Daw
arxiv
Readers:
Everyone
Hybrid Neural-Cognitive Models Reveal How Memory Shapes Human Reward Learning
Maria K Eckstein
,
Nathaniel D. Daw
,
Christopher Summerfield
,
Kevin J Miller
Nature Human Behavior
Readers:
Everyone
Low-Rank Successor Representations Capture Human-Like Generalization
Eva Yi Xie
,
Nathaniel D. Daw
,
Benjamin Eysenbach
UniReps2025
Readers:
Everyone
Discovering Symbolic Cognitive Models from Human and Animal Behavior
Pablo Samuel Castro
,
Nenad Tomasev
,
Ankit Anand
,
Navodita Sharma
,
Rishika Mohanta
,
Aparna Dev
,
Kuba Perlin
,
Siddhant Jain
,
Kyle Levin
,
Noemi Elteto
,
Will Dabney
,
Alexander Novikov
,
Glenn C Turner
,
Maria K Eckstein
,
Nathaniel D. Daw
,
Kevin J Miller
,
Kim Stachenfeld
ICML 2025 spotlightposter
Readers:
Everyone
Program-Based Strategy Induction for Reinforcement Learning
Carlos G. Correa
,
Thomas L. Griffiths
,
Nathaniel D. Daw
CoRR 2024
Readers:
Everyone
The role of training variability for model-based and model-free learning of an arbitrary visuomotor mapping
Carlos A. Velazquez-Vargas
,
Nathaniel D. Daw
,
Jordan A. Taylor
PLoS Comput. Biol. 2024
Readers:
Everyone
Human representation of visuo-motor uncertainty as mixtures of orthogonal basis distributions
Hang Zhang
,
Nathaniel Daw
,
Laurence T. Maloney
12 May 2023 (modified: 12 May 2023)
OpenReview Archive Direct Upload
Readers:
Everyone
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
Alexander Meulemans
,
Simon Schug
,
Seijin Kobayashi
,
Nathaniel Daw
,
Greg Wayne
NeurIPS 2023 spotlight
Readers:
Everyone
Predictive and Interpretable: Combining Artificial Neural Networks and Classic Cognitive Models to Understand Human Learning and Decision Making
Maria K. Eckstein
,
Christopher Summerfield
,
Nathaniel D. Daw
,
Kevin J. Miller
CogSci 2023
Readers:
Everyone
Humans decompose tasks by trading off utility and computational cost
Carlos G. Correa
,
Mark K. Ho
,
Frederick Callaway
,
Nathaniel D. Daw
,
Thomas L. Griffiths
PLoS Comput. Biol. 2023
Readers:
Everyone
View all 58 publications
Co-Authors
A. Ross Otto
Aaron C. Courville
Aaron M. Bornstein
Alex M. Boldin
Alexander Meulemans
Alexander Novikov
Alexandre Pouget
Allison Burton
Amir Dezfouli
Amitai Shenhav
Andra Geana
Andrew Caplin
Ankit Anand
Anya Skatova
Aparna Dev
Augustus Baker
B. Timothy Walsh
Barry J. Everitt
Ben Seymour
Benjamin Eysenbach
Bijan Pesaran
Bradley C. Love
Carlos A. Velazquez-Vargas
Carlos G Correa
Carlos G. Correa
View all 119 co-authors