Sotabase

Career

· Research Scientist, Google DeepMind2024–
· Professor of Psychology and of Computer Science, Stanford University2010–
· Research Scientist, Massachusetts Institute of Technology2008–2010
· Post-Doctoral Associate, Massachusetts Institute of Technology2005–2008
· Lecturer, St. Edwards University2004–2005
· Ph.D., Mathematics, University of Texas at Austin2003–
· B.A., Mathematics, University of Arizona1997–
· B.S., Physics, University of Arizona1997–

Publications (600)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
Pyro: Deep Universal Probabilistic Programming
Journal of machine learning research · 2018
1,203
cited
Predicting Pragmatic Reasoning in Language Games
Science · 2012
920
cited
Church: a language for generative models
Conference on Uncertainty in Artificial Intelligence · 2008
835
cited
STaR: Bootstrapping Reasoning With Reasoning
2022
730
cited
Pragmatic Language Interpretation as Probabilistic Inference
Trends in Cognitive Sciences · 2016
627
cited
The double-edged sword of pedagogy: Instruction limits spontaneous exploration and discovery
Cognition · 2011
625
cited
One and Done? Optimal Decisions From Very Few Samples
Cognitive Sciences · 2014
450
cited
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Neural Information Processing Systems · 2018
441
cited
A Rational Analysis of Rule-Based Concept Learning
Cognitive Sciences · 2008
428
cited
Knowledge and implicature: Modeling language understanding as social cognition
Annual Meeting of the Cognitive Science Society · 2012
407
cited
Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic
Topics in Cognitive Science · 2015
382
cited
Learning Disentangled Representations with Semi-Supervised Deep Generative Models
Neural Information Processing Systems · 2017
374
cited
Amortized Inference in Probabilistic Reasoning
Annual Meeting of the Cognitive Science Society · 2014
371
cited
Learning to Compress Prompts with Gist Tokens
Neural Information Processing Systems · 2023
304
cited
A rational account of pedagogical reasoning: Teaching by, and learning from, examples
Cognitive Psychology · 2014
289
cited
Where science starts: Spontaneous experiments in preschoolers’ exploratory play
Cognition · 2011
287
cited
Learning a theory of causality.
Psychology Review · 2011
217
cited
The mentalistic basis of core social cognition: experiments in preverbal infants and a computational model.
Developmental Science · 2013
217
cited
Help or Hinder: Bayesian Models of Social Goal Inference
Neural Information Processing Systems · 2009
204
cited
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