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Thomas L. Griffiths

Thomas L. Griffiths

D-Index & Metrics

Computer Science

D-Index
105
Citations
62658
World Ranking
280
National Ranking
152

Research.com Recognitions

  • 2017 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2010 - Fellow of Alfred P. Sloan Foundation

Overview

Thomas L. Griffiths is a researcher affiliated with Princeton University in the United States. Their work primarily centers on computer science, with a substantial focus on artificial intelligence and cognitive neuroscience. They also engage in research within experimental and cognitive psychology, computer vision and pattern recognition, and sociology and political science.

Themes frequently explored in Griffiths' research include topic modeling, decision-making and behavioral economics, language and cultural evolution, natural language processing techniques, explainable artificial intelligence (XAI), child and animal learning development, and domain adaptation and few-shot learning.

Griffiths has a significant publication record, with notable contributions found in various academic venues. Their most frequent publication venues are:

  • arXiv (Cornell University)
  • Cognition
  • Cognitive Science
  • Nature Human Behaviour
  • Proceedings of the National Academy of Sciences

Among recent papers associated with Griffiths' research are:

  • "Tree of Thoughts: Deliberate Problem Solving with Large Language Models" (2023), published in arXiv (Cornell University)
  • "Integrating explanation and prediction in computational social science" (2021), published in Nature
  • "Using large-scale experiments and machine learning to discover theories of human decision-making" (2021), published in Science
  • "Fixation patterns in simple choice reflect optimal information sampling" (2021), published in PLoS Computational Biology
  • "Are Convolutional Neural Networks or Transformers more like human vision?" (2021), published in arXiv (Cornell University)

Griffiths collaborates frequently with several researchers, including:

  • Mark K. Ho
  • Ilia Sucholutsky
  • Theodore R. Sumers
  • Joshua C. Peterson
  • Robert D. Hawkins

In recognition of their contributions, Griffiths was named a Fellow of the Alfred P. Sloan Foundation in 2010 and a Fellow of the John Simon Guggenheim Memorial Foundation in 2017.

Best Publications

  • Finding scientific topics

    Thomas L. Griffiths;Mark Steyvers

  • How to Grow a Mind: Statistics, Structure, and Abstraction

    Joshua B. Tenenbaum;Charles Kemp;Thomas L. Griffiths;Noah D. Goodman

  • Probabilistic Topic Models

    Mark Steyvers;Tom Griffiths

  • Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics

    Sharon Goldwater;Tom Griffiths

  • Natural speech reveals the semantic maps that tile human cerebral cortex

    Alexander G. Huth;Wendy A. de Heer;Thomas L. Griffiths;Thomas L. Griffiths;Frédéric E. Theunissen;Frédéric E. Theunissen

  • The author-topic model for authors and documents

    Michal Rosen-Zvi;Thomas Griffiths;Mark Steyvers;Padhraic Smyth

  • Hierarchical Topic Models and the Nested Chinese Restaurant Process

    Thomas L. Griffiths;Michael I. Jordan;Joshua B. Tenenbaum;David M. Blei

  • Topics in semantic representation.

    Thomas L. Griffiths;Mark Steyvers;Joshua B. Tenenbaum

  • Theory-based Bayesian models of inductive learning and reasoning

    Joshua B. Tenenbaum;Thomas L. Griffiths;Charles Kemp

  • Infinite latent feature models and the Indian buffet process

    Zoubin Ghahramani;Thomas L. Griffiths

  • Learning systems of concepts with an infinite relational model

    Charles Kemp;Joshua B. Tenenbaum;Thomas L. Griffiths;Takeshi Yamada

  • Probabilistic models of cognition: exploring representations and inductive biases

    Thomas L. Griffiths;Nick Chater;Charles Kemp;Amy Perfors

  • The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies

    David M. Blei;Thomas L. Griffiths;Michael I. Jordan

  • Tree of Thoughts: Deliberate Problem Solving with Large Language Models

    Unknown

  • Probabilistic author-topic models for information discovery

    Mark Steyvers;Padhraic Smyth;Michal Rosen-Zvi;Thomas Griffiths

  • Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources.

    Falk Lieder;Thomas L. Griffiths

  • Optimal Predictions in Everyday Cognition

    Thomas L. Griffiths;Joshua B. Tenenbaum

  • Structure and strength in causal induction.

    Thomas L. Griffiths;Joshua B. Tenenbaum

  • Bayesian models of cognition

    Thomas L. Griffiths;Charles Kemp;Joshua B. Tenenbaum

  • Integrating Topics and Syntax

    Thomas L. Griffiths;Mark Steyvers;David M. Blei;Joshua B. Tenenbaum

  • One and done? Optimal decisions from very few samples.

    Edward Vul;Noah D. Goodman;Thomas L. Griffiths;Joshua B. Tenenbaum

  • Advances in Neural Information Processing Systems 21

    Thomas L Griffiths;Christopher Lucas;Joseph Williams;Michael L Kalish

Frequent Co-Authors

Alison Gopnik
Alison Gopnik University of California, Berkeley
Noah D. Goodman
Noah D. Goodman Stanford University
Mark Steyvers
Mark Steyvers University of California, Irvine
Sharon Goldwater
Sharon Goldwater University of Edinburgh
Anca D. Dragan
Anca D. Dragan University of California, Berkeley
Jonathan D. Cohen
Jonathan D. Cohen Princeton University
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Mark Johnson
Mark Johnson Macquarie University
Stephan Lewandowsky
Stephan Lewandowsky University of Bristol

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