Sotabase

Career

· Thrust Leader and Research Module Co-Leader, MIT Center for Brains, Minds and Machines2024–
· Professor of Computational Cognitive Science, MIT Department of Brain and Cognitive Sciences2011–
· Director, MIT CSAIL2003–
· Professor of Computational Cognitive Science, Massachusetts Institute of Technology2002–
· Professor of Computational Cognitive Science, Director of Science at MIT Quest for Intelligence, Principal Investigator at MIT CSAIL, Thrust Leader at CBMM, Massachusetts Institute of Technology (MIT)2002–
· Professor of Computational Cognitive Science, MIT CSAIL2002–
· Professor of Computational Cognitive Science, Investigator at CSAIL, Thrust Leader at CBMM, Massachusetts Institute of Technology (MIT)1999–
· Assistant Professor, Stanford University1999–
· Research Module Co-Leader, Center for Brains, Minds & Machines
· Thrust Leader and Researcher, MIT Center for Brains, Minds and Machines
· Thrust Leader, MIT Center for Brains, Minds and Machines (CBMM)
· Director of Science, Professor, MIT Quest for Intelligence

Publications (792)

A global geometric framework for nonlinear dimensionality reduction.
Science · 2000
12,888
cited
Human-level concept learning through probabilistic program induction
Science · 2015
3,218
cited
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Neural Information Processing Systems · 2016
2,085
cited
Building Machines that Learn and Think Like People
Adaptive Agents and Multi-Agent Systems · 2018
2,010
cited
Meta-Learning for Semi-Supervised Few-Shot Classification
International Conference on Learning Representations · 2018
1,401
cited
The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth
Cognitive Sciences · 2005
1,349
cited
Improving Factuality and Reasoning in Language Models through Multiagent Debate
International Conference on Machine Learning · 2023
1,259
cited
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Neural Information Processing Systems · 2016
1,236
cited
Hierarchical Topic Models and the Nested Chinese Restaurant Process
Neural Information Processing Systems · 2003
1,219
cited
Machine behaviour
Nature · 2019
1,057
cited
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
European Conference on Computer Vision · 2020
1,020
cited
Causal Inference in Multisensory Perception
PLoS ONE · 2007
1,018
cited
Topics in Semantic Representation
2007
1,008
cited
Planning with Diffusion for Flexible Behavior Synthesis
International Conference on Machine Learning · 2022
1,002
cited
Word learning as Bayesian inference.
Psychology Review · 2007
976
cited
Global Versus Local Methods in Nonlinear Dimensionality Reduction
Neural Information Processing Systems · 2002
967
cited
Deep Convolutional Inverse Graphics Network
Neural Information Processing Systems · 2015
946
cited
Separating Style and Content with Bilinear Models
Neural Computation · 2000
944
cited
Action understanding as inverse planning
Cognition · 2009
943
cited
One shot learning of simple visual concepts
Annual Meeting of the Cognitive Science Society · 2011
890
cited
Sotabase