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Joshua B. Tenenbaum

Identifiers

  • name variant Joshua B. Tenenbaum 0.60 · backfill

Papers (65)

  1. Medical Model Synthesis Architectures: A Case Study cs.AI · 2026 · author #9
  2. Reason to Play: Behavioral and Brain Alignment Between Frontier LRMs and Human Game Learners cs.AI · 2026 · author #6
  3. GenMatter: Perceiving Physical Objects with Generative Matter Models cs.CV · 2026 · author #8
  4. Benchmarking World-Model Learning with Environment-Level Queries cs.AI · 2025 · author #8
  5. Evaluating Language Models' Evaluations of Games cs.CL · 2025 · author #11
  6. Improving Factuality and Reasoning in Language Models through Multiagent Debate cs.CL · 2023 · author #4
  7. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models cs.CL · 2022 · author #208
  8. Planning with Diffusion for Flexible Behavior Synthesis cs.LG · 2022 · author #3
  9. CLEVRER: CoLlision Events for Video REpresentation and Reasoning cs.CV · 2019 · author #7
  10. DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions cs.RO · 2019 · author #4
  11. Finding Friend and Foe in Multi-Agent Games cs.LG · 2019 · author #4
  12. The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision cs.CV · 2019 · author #4
  13. Combining Physical Simulators and Object-Based Networks for Control cs.RO · 2019 · author #5
  14. Unsupervised Discovery of Parts, Structure, and Dynamics cs.CV · 2019 · author #6
  15. Infinite Mixture Prototypes for Few-Shot Learning cs.LG · 2019 · author #4
  16. The Omniglot challenge: a 3-year progress report cs.AI · 2019 · author #3
  17. Theory of Minds: Understanding Behavior in Groups Through Inverse Planning cs.AI · 2019 · author #4
  18. Learning to Reconstruct Shapes from Unseen Classes cs.CV · 2018 · author #4
  19. Reasoning About Physical Interactions with Object-Oriented Prediction and Planning cs.LG · 2018 · author #4
  20. Visual Object Networks: Image Generation with Disentangled 3D Representation cs.CV · 2018 · author #6
  21. GAN Dissection: Visualizing and Understanding Generative Adversarial Networks cs.CV · 2018 · author #5
  22. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding cs.AI · 2018 · author #6
  23. Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids cs.LG · 2018 · author #4
  24. ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics cs.RO · 2018 · author #4
  25. Propagation Networks for Model-Based Control Under Partial Observation cs.AI · 2018 · author #4
  26. Physical Primitive Decomposition cs.CV · 2018 · author #3
  27. Learning Shape Priors for Single-View 3D Completion and Reconstruction cs.CV · 2018 · author #6
  28. Seeing Tree Structure from Vibration cs.CV · 2018 · author #5
  29. 3D-Aware Scene Manipulation via Inverse Graphics cs.CV · 2018 · author #7
  30. 3D Shape Perception from Monocular Vision, Touch, and Shape Priors cs.CV · 2018 · author #6
  31. Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing cs.RO · 2018 · author #6
  32. Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks cs.LG · 2018 · author #4
  33. The Variational Homoencoder: Learning to learn high capacity generative models from few examples cs.LG · 2018 · author #5
  34. Flexible Neural Representation for Physics Prediction cs.AI · 2018 · author #6
  35. Relational inductive bias for physical construction in humans and machines cs.LG · 2018 · author #6
  36. Word learning and the acquisition of syntactic--semantic overhypotheses cs.CL · 2018 · author #3
  37. Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling cs.CV · 2018 · author #7
  38. Discovery and usage of joint attention in images cs.CV · 2018 · author #2
  39. Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation cs.AI · 2018 · author #5
  40. Meta-Learning for Semi-Supervised Few-Shot Classification cs.LG · 2018 · author #6
  41. Self-Supervised Intrinsic Image Decomposition cs.CV · 2017 · author #5
  42. A First Step in Combining Cognitive Event Features and Natural Language Representations to Predict Emotions cs.CL · 2017 · author #3
  43. Learning to Infer Graphics Programs from Hand-Drawn Images cs.AI · 2017 · author #4
  44. Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning cs.LG · 2017 · author #3
  45. A Compositional Object-Based Approach to Learning Physical Dynamics cs.AI · 2016 · author #4
  46. The Emergence of Organizing Structure in Conceptual Representation cs.LG · 2016 · author #3
  47. Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling cs.CV · 2016 · author #5
  48. Human collective intelligence as distributed Bayesian inference cs.CY · 2016 · author #7
  49. A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding cs.AI · 2016 · author #5
  50. Single Image 3D Interpreter Network cs.CV · 2016 · author #5
  51. Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation cs.LG · 2016 · author #4
  52. Building Machines That Learn and Think Like People cs.AI · 2016 · author #3
  53. Understanding Visual Concepts with Continuation Learning cs.LG · 2016 · author #4
  54. Modeling Human Ad Hoc Coordination cs.AI · 2016 · author #4
  55. CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data cs.AI · 2015 · author #6
  56. Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model cs.AI · 2015 · author #3
  57. Risk and Regret of Hierarchical Bayesian Learners cs.LG · 2015 · author #2
  58. Deep Convolutional Inverse Graphics Network cs.CV · 2015 · author #4
  59. Inverse Graphics with Probabilistic CAD Models cs.CV · 2014 · author #4
  60. Automatic Construction and Natural-Language Description of Nonparametric Regression Models stat.ML · 2014 · author #4
  61. Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs cs.AI · 2013 · author #4
  62. Structure Discovery in Nonparametric Regression through Compositional Kernel Search stat.ML · 2013 · author #4
  63. Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence cs.AI · 2012 · author #3
  64. Exploiting compositionality to explore a large space of model structures cs.LG · 2012 · author #4
  65. Church: a language for generative models cs.PL · 2012 · author #5

Mentions

  • 1307.0060 #4 · backfill · confidence 0.70 Joshua B. Tenenbaum
  • 1302.4922 #4 · backfill · confidence 0.70 Joshua B. Tenenbaum
  • 1212.4799 #3 · backfill · confidence 0.70 Joshua B. Tenenbaum
  • 1210.4856 #4 · backfill · confidence 0.70 Joshua B. Tenenbaum
  • 1206.3255 #5 · backfill · confidence 0.70 Joshua B. Tenenbaum
  • 2510.10930 #11 · arxiv_oai · confidence 0.70 Joshua B. Tenenbaum
  • 1910.01442 #7 · arxiv_oai · confidence 0.70 Joshua B. Tenenbaum

Frequent Coauthors