Joshua B. Tenenbaum
Institute of Cognitive and Brain Sciences(US)Moscow Institute of Thermal Technology(RU)IIT@MIT(US)Intelligent Machines (Sweden)(SE)Massachusetts Institute of Technology(US)Rockefeller University(US)
Publications by Year
Research Areas
Child and Animal Learning Development, Bayesian Modeling and Causal Inference, Multimodal Machine Learning Applications, Topic Modeling, Reinforcement Learning in Robotics
Most-Cited Works
- → A Global Geometric Framework for Nonlinear Dimensionality Reduction(2000)13,614 cited
- → Human-level concept learning through probabilistic program induction(2015)2,889 cited
- → How to Grow a Mind: Statistics, Structure, and Abstraction(2011)1,860 cited
- → Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling(2016)1,562 cited
- → The Large‐Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth(2005)1,378 cited
- → Topics in semantic representation.(2007)1,143 cited