ML Anthology

Tenenbaum, Josh

69 publications

NeurIPS 2023 3D-IntPhys: Towards More Generalized 3D-Grounded Visual Intuitive Physics Under Challenging Scenes Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung
NeurIPS 2023 Compositional Foundation Models for Hierarchical Planning Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Josh Tenenbaum, Leslie P. Kaelbling, Akash Srivastava, Pulkit Agrawal
NeurIPS 2023 DiffuseBot: Breeding Soft Robots with Physics-Augmented Generative Diffusion Models Tsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Josh Tenenbaum, Chuang Gan, Daniela Rus
NeurIPS 2023 Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Fredo Durand, Bill Freeman, Vincent Sitzmann
NeurIPS 2023 Human Spatiotemporal Pattern Learning as Probabilistic Program Synthesis Tracey Mills, Josh Tenenbaum, Samuel Cheyette
NeurIPS 2023 Inferring the Future by Imagining the past Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
NeurIPS 2023 Learning Universal Policies via Text-Guided Video Generation Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, Pieter Abbeel
NeurIPS 2023 Physion++: Evaluating Physical Scene Understanding That Requires Online Inference of Different Physical Properties Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith Fan, Kevin Smith
NeurIPS 2023 What Planning Problems Can a Relational Neural Network Solve? Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie P. Kaelbling
NeurIPS 2023 What’s Left? Concept Grounding with Logic-Enhanced Foundation Models Joy Hsu, Jiayuan Mao, Josh Tenenbaum, Jiajun Wu
NeurIPS 2022 3D Concept Grounding on Neural Fields Yining Hong, Yilun Du, Chunru Lin, Josh Tenenbaum, Chuang Gan
NeurIPS 2022 Communicating Natural Programs to Humans and Machines Sam Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle Ecanow, Maxwell Nye, Michael Tessler, Josh Tenenbaum
NeurIPS 2022 Drawing Out of Distribution with Neuro-Symbolic Generative Models Yichao Liang, Josh Tenenbaum, Tuan Anh Le, Siddharth N
NeurIPS 2022 HandMeThat: Human-Robot Communication in Physical and Social Environments Yanming Wan, Jiayuan Mao, Josh Tenenbaum
NeurIPS 2022 Learning Neural Acoustic Fields Andrew Luo, Yilun Du, Michael Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan
NeurIPS 2022 Learning Physical Dynamics with Subequivariant Graph Neural Networks Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan
NeurIPS 2022 PDSketch: Integrated Domain Programming, Learning, and Planning Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie P. Kaelbling
NeurIPS 2022 When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
NeurIPS 2021 3DP3: 3D Scene Perception via Probabilistic Programming Nishad Gothoskar, Marco Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
NeurIPS 2021 A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics Kai Xu, Akash Srivastava, Dan Gutfreund, Felix Sosa, Tomer Ullman, Josh Tenenbaum, Charles A. Sutton
ICCVW 2021 Building 3D Morphable Models from a Single Scan Skylar Sutherland, Bernhard Egger, Josh Tenenbaum
NeurIPS 2021 Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Josh Tenenbaum, Chuang Gan
NeurIPS 2021 Grammar-Based Grounded Lexicon Learning Jiayuan Mao, Freda Shi, Jiajun Wu, Roger P. Levy, Josh Tenenbaum
NeurIPS 2021 Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning Maxwell Nye, Michael Tessler, Josh Tenenbaum, Brenden M Lake
NeurIPS 2021 Learning Signal-Agnostic Manifolds of Neural Fields Yilun Du, Katie Collins, Josh Tenenbaum, Vincent Sitzmann
NeurIPS 2021 Learning to Compose Visual Relations Nan Liu, Shuang Li, Yilun Du, Josh Tenenbaum, Antonio Torralba
NeurIPS 2021 Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Fredo Durand
NeurIPS 2021 Noether Networks: Meta-Learning Useful Conserved Quantities Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn
NeurIPS 2021 PTR: A Benchmark for Part-Based Conceptual, Relational, and Physical Reasoning Yining Hong, Li Yi, Josh Tenenbaum, Antonio Torralba, Chuang Gan
NeurIPS 2021 Unsupervised Learning of Compositional Energy Concepts Yilun Du, Shuang Li, Yash Sharma, Josh Tenenbaum, Igor Mordatch
ICLR 2020 Cz-Gem: A Framework for Disentangled Representation Learning Akash Srivastava, Yamini Bansal, Yukun Ding, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund
AAAI 2020 Few-Shot Bayesian Imitation Learning with Logical Program Policies Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
NeurIPS 2020 Learning Abstract Structure for Drawing by Efficient Motor Program Induction Lucas Tian, Kevin Ellis, Marta Kryven, Josh Tenenbaum
NeurIPS 2020 Learning Compositional Rules via Neural Program Synthesis Maxwell Nye, Armando Solar-Lezama, Josh Tenenbaum, Brenden M Lake
NeurIPS 2020 Learning Physical Graph Representations from Visual Scenes Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li F Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L Yamins
NeurIPS 2020 Multi-Plane Program Induction with 3D Box Priors Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu
NeurIPS 2020 Online Bayesian Goal Inference for Boundedly Rational Planning Agents Tan Zhi-Xuan, Jordyn Mann, Tom Silver, Josh Tenenbaum, Vikash K. Mansinghka
NeurIPS 2020 Program Synthesis with Pragmatic Communication Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama
NeurIPS 2019 Finding Friend and Foe in Multi-Agent Games Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Josh Tenenbaum
NeurIPS 2019 Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth Spelke, Josh Tenenbaum, Tomer Ullman
NeurIPS 2019 ObjectNet: A Large-Scale Bias-Controlled Dataset for Pushing the Limits of Object Recognition Models Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, Boris Katz
NeurIPS 2019 Visual Concept-Metaconcept Learning Chi Han, Jiayuan Mao, Chuang Gan, Josh Tenenbaum, Jiajun Wu
NeurIPS 2019 Write, Execute, Assess: Program Synthesis with a REPL Kevin Ellis, Maxwell Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama
NeurIPS 2018 3D-Aware Scene Manipulation via Inverse Graphics Shunyu Yao, Tzu Ming Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, Josh Tenenbaum
NeurIPS 2018 End-to-End Differentiable Physics for Learning and Control Filipe de Avila Belbute-Peres, Kevin Smith, Kelsey Allen, Josh Tenenbaum, J. Zico Kolter
NeurIPS 2018 Flexible Neural Representation for Physics Prediction Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li F Fei-Fei, Josh Tenenbaum, Daniel L Yamins
NeurIPS 2018 Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Josh Tenenbaum
NeurIPS 2018 Learning to Exploit Stability for 3D Scene Parsing Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, Bill Freeman, Josh Tenenbaum, Jiajun Wu
NeurIPS 2018 Learning to Infer Graphics Programs from Hand-Drawn Images Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Josh Tenenbaum
NeurIPS 2018 Learning to Reconstruct Shapes from Unseen Classes Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu
NeurIPS 2018 Learning to Share and Hide Intentions Using Information Regularization Dj Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matt Botvinick, David J Schwab
NeurIPS 2018 Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Josh Tenenbaum
NeurIPS 2018 Visual Object Networks: Image Generation with Disentangled 3D Representations Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman
NeurIPS 2017 Learning to See Physics via Visual De-Animation Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum
NeurIPS 2017 MarrNet: 3D Shape Reconstruction via 2.5d Sketches Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, Bill Freeman, Josh Tenenbaum
NeurIPS 2017 Self-Supervised Intrinsic Image Decomposition Michael Janner, Jiajun Wu, Tejas D Kulkarni, Ilker Yildirim, Josh Tenenbaum
NeurIPS 2017 Shape and Material from Sound Zhoutong Zhang, Qiujia Li, Zhengjia Huang, Jiajun Wu, Josh Tenenbaum, Bill Freeman
NeurIPS 2016 Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Tejas D Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum
NeurIPS 2016 Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, Josh Tenenbaum
NeurIPS 2016 Probing the Compositionality of Intuitive Functions Eric Schulz, Josh Tenenbaum, David K. Duvenaud, Maarten Speekenbrink, Samuel J Gershman
NeurIPS 2016 Sampling for Bayesian Program Learning Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum
NeurIPS 2015 Deep Convolutional Inverse Graphics Network Tejas D Kulkarni, William F. Whitney, Pushmeet Kohli, Josh Tenenbaum
NeurIPS 2015 Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning Jiajun Wu, Ilker Yildirim, Joseph J. Lim, Bill Freeman, Josh Tenenbaum
ICML 2015 Risk and Regret of Hierarchical Bayesian Learners Jonathan Huggins, Josh Tenenbaum
NeurIPS 2015 Softstar: Heuristic-Guided Probabilistic Inference Mathew Monfort, Brenden M Lake, Brenden M Lake, Brian Ziebart, Patrick Lucey, Josh Tenenbaum
NeurIPS 2015 Unsupervised Learning by Program Synthesis Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum
NeurIPS 2013 Approximate Bayesian Image Interpretation Using Generative Probabilistic Graphics Programs Vikash K Mansinghka, Tejas D Kulkarni, Yura N Perov, Josh Tenenbaum
NeurIPS 2013 One-Shot Learning by Inverting a Compositional Causal Process Brenden M Lake, Ruslan Salakhutdinov, Josh Tenenbaum
AISTATS 2007 AClass: A Simple, Online, Parallelizable Algorithm for Probabilistic Classification Vikash K. Mansinghka, Daniel M. Roy, Ryan Rifkin, Josh Tenenbaum