Josh Tenenbaum

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes NeurIPS 2023 Compositional Foundation Models for Hierarchical Planning NeurIPS 2023 DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models NeurIPS 2023 Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision NeurIPS 2023 Human spatiotemporal pattern learning as probabilistic program synthesis NeurIPS 2023 Inferring the Future by Imagining the Past NeurIPS 2023 Learning Universal Policies via Text-Guided Video Generation NeurIPS 2023 Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties NeurIPS 2023 What Planning Problems Can A Relational Neural Network Solve? NeurIPS 2023 What’s Left? Concept Grounding with Logic-Enhanced Foundation Models NeurIPS 2023 3D Concept Grounding on Neural Fields NeurIPS 2022 Communicating Natural Programs to Humans and Machines NeurIPS 2022 Drawing out of Distribution with Neuro-Symbolic Generative Models NeurIPS 2022 HandMeThat: Human-Robot Communication in Physical and Social Environments NeurIPS 2022 Learning Neural Acoustic Fields NeurIPS 2022 Learning Physical Dynamics with Subequivariant Graph Neural Networks NeurIPS 2022 PDSketch: Integrated Domain Programming, Learning, and Planning NeurIPS 2022 Revisiting the Roles of “Text” in Text Games EMNLP 2022 When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment NeurIPS 2022 3DP3: 3D Scene Perception via Probabilistic Programming NeurIPS 2021 A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics NeurIPS 2021 Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language NeurIPS 2021 Grammar-Based Grounded Lexicon Learning NeurIPS 2021 Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning NeurIPS 2021 Learning Signal-Agnostic Manifolds of Neural Fields NeurIPS 2021 Learning to Compose Visual Relations NeurIPS 2021 Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering NeurIPS 2021 Noether Networks: meta-learning useful conserved quantities NeurIPS 2021 PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning NeurIPS 2021 Unsupervised Learning of Compositional Energy Concepts NeurIPS 2021 Few-Shot Bayesian Imitation Learning with Logical Program Policies AAAI 2020 Learning abstract structure for drawing by efficient motor program induction NeurIPS 2020 Learning Compositional Rules via Neural Program Synthesis NeurIPS 2020 Learning Physical Graph Representations from Visual Scenes NeurIPS 2020 Multi-Plane Program Induction with 3D Box Priors NeurIPS 2020 Online Bayesian Goal Inference for Boundedly Rational Planning Agents NeurIPS 2020 Program Synthesis with Pragmatic Communication NeurIPS 2020 Finding Friend and Foe in Multi-Agent Games NeurIPS 2019 Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations NeurIPS 2019 ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models NeurIPS 2019 Visual Concept-Metaconcept Learning NeurIPS 2019 Write, Execute, Assess: Program Synthesis with a REPL NeurIPS 2019 3D-Aware Scene Manipulation via Inverse Graphics NeurIPS 2018 End-to-End Differentiable Physics for Learning and Control NeurIPS 2018 Flexible neural representation for physics prediction NeurIPS 2018 Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction NeurIPS 2018 Learning to Exploit Stability for 3D Scene Parsing NeurIPS 2018 Learning to Infer Graphics Programs from Hand-Drawn Images NeurIPS 2018 Learning to Reconstruct Shapes from Unseen Classes NeurIPS 2018 Learning to Share and Hide Intentions using Information Regularization NeurIPS 2018 Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding NeurIPS 2018 Visual Object Networks: Image Generation with Disentangled 3D Representations NeurIPS 2018 Learning to See Physics via Visual De-animation NeurIPS 2017 MarrNet: 3D Shape Reconstruction via 2.5D Sketches NeurIPS 2017 Self-Supervised Intrinsic Image Decomposition NeurIPS 2017 Shape and Material from Sound NeurIPS 2017 Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation NeurIPS 2016 Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling NeurIPS 2016 Probing the Compositionality of Intuitive Functions NeurIPS 2016 Sampling for Bayesian Program Learning NeurIPS 2016 Deep Convolutional Inverse Graphics Network NeurIPS 2015 Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning NeurIPS 2015 Risk and Regret of Hierarchical Bayesian Learners ICML 2015 Softstar: Heuristic-Guided Probabilistic Inference NeurIPS 2015 Unsupervised Learning by Program Synthesis NeurIPS 2015 Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs NeurIPS 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 AClass: A simple, online, parallelizable algorithm for probabilistic classification AISTATS 1999