Josh Tenenbaum

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 186

Top Venues

CogSci

NeurIPS

CoRR

NIPS

Publications

Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
Inferring the Future by Imagining the Past. NeurIPS (2023)
Shreya Kapoor, Maximilian Weiherer, Max H. Siegel, Amir Arsalan Soltani, Ilker Yildirim, Josh Tenenbaum, Bernhard Egger
Perception of Mooney Faces: Extreme Generalization through Inverse Rendering? CogSci (2023)
Nicole Coates, Max H. Siegel, Josh Tenenbaum, Laura Schulz
Representations of Abstract Relations in Early Childhood. CogSci (2023)
Tan Zhi-Xuan, Paul Stefan Lunis, Nathalie Fernandez Echeverri, Vikash Mansinghka, Josh Tenenbaum
Language Models as Informative Goal Priors in a Bayesian Theory of Mind. CogSci (2023)
Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith E. Fan, Kevin A. Smith
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. NeurIPS (2023)
Thomas Ngo, Samuel J. Cheyette, Josh Tenenbaum, Kevin A. Smith
Strategy choice for physical reasoning is (partially) sensitive to cognitive costs. CogSci (2023)
Samuel J. Cheyette, Frederick Callaway, Neil R. Bramley, Jonathan D. Nelson, Josh Tenenbaum
People seek easily interpretable information. CogSci (2023)
Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, Pieter Abbeel
Learning Universal Policies via Text-Guided Video Generation. NeurIPS (2023)
Tracey Mills, Josh Tenenbaum, Samuel Cheyette
Human spatiotemporal pattern learning as probabilistic program synthesis. NeurIPS (2023)
Joseph Kwon, Tan Zhi-Xuan, Josh Tenenbaum, Sydney Levine
When it's not out of line to get out of line: Principles of universalizability, welfare, and harm. CogSci (2023)
Tony Chen, Kelsey R. Allen, Samuel J. Cheyette, Josh Tenenbaum, Kevin A. Smith
"Just In Time" Representations for Mental Simulation in Intuitive Physics. CogSci (2023)
Benjamin Lipkin, Lionel Wong, Gabriel Grand, Josh Tenenbaum
Evaluating statistical language models as pragmatic reasoners. CogSci (2023)
Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. NeurIPS (2023)
Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Josh Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
Compositional Foundation Models for Hierarchical Planning. CoRR (2023)
Tracey Mills, Cedegao Zhang, Tony Chen, Josh Tenenbaum
Towards a model of confidence judgements in concept learning. CogSci (2023)
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
Acting as Inverse Inverse Planning. CoRR (2023)
Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
Storytelling as Inverse Inverse Planning. CogSci (2023)
Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Frédo Durand, Bill Freeman, Vincent Sitzmann
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. NeurIPS (2023)
Cedegao Zhang, Lionel Wong, Gabriel Grand, Josh Tenenbaum
Grounded physical language understanding with probabilistic programs and simulated worlds. CogSci (2023)
Yoni Friedman, Thomas P. O'Connell, Max H. Siegel, Daniel M. Bear, Tuan Anh Le, Bernhard Egger, Josh Tenenbaum
Benchmarking mid-level vision with texture-defined 3D objects. CogSci (2022)
Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. CoRR (2022)
Andrew Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan
Learning Neural Acoustic Fields. NeurIPS (2022)
Yi Gu, Shunyu Yao, Chuang Gan, Josh Tenenbaum, Mo Yu
Revisiting the Roles of "Text" in Text Games. EMNLP (Findings) (2022)
Yichao Liang, Josh Tenenbaum, Tuan Anh Le, N. Siddharth
Drawing out of Distribution with Neuro-Symbolic Generative Models. NeurIPS (2022)
Yanming Wan, Jiayuan Mao, Josh Tenenbaum
HandMeThat: Human-Robot Communication in Physical and Social Environments. NeurIPS (2022)
Joshua S. Rule, Steven T. Piantadosi, Josh Tenenbaum
Learning as Programming: Modeling Efficient Search in Human Concept Learning. CogSci (2022)
Sugandha Sharma, Aidan Curtis, Marta Kryven, Josh Tenenbaum, Ila Fiete
Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations. CogSci (2022)
Vivian C. Paulun, Max H. Siegel, Josh Tenenbaum
Joint online inference of material properties and object shape. CogSci (2022)
Michelle Simona Hung, Ashley J. Thomas, Setayesh Radkani, Josh Tenenbaum, Rebecca Saxe
Modeling risky food sharing as rational communication about relationships. CogSci (2022)
Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Josh Tenenbaum
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. CogSci (2022)
Setayesh Radkani, Josh Tenenbaum, Rebecca Saxe
Modeling punishment as a rational communicative social action. CogSci (2022)
Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. NeurIPS (2022)
Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, Josh Tenenbaum
Communicating Natural Programs to Humans and Machines. NeurIPS (2022)
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan
Identifying concept libraries from language about object structure. CogSci (2022)
Nicole Coates, Max H. Siegel, Junyi Chu, Melissa Kline, Josh Tenenbaum, Laura Schulz
Preschoolers' sensitivity to abstract correlations in the properties of sets and functions. CogSci (2022)
Joseph Kwon, Josh Tenenbaum, Sydney Levine
Flexibility in Moral Cognition: When is it okay to break the rules? CogSci (2022)
Yining Hong, Yilun Du, Chunru Lin, Josh Tenenbaum, Chuang Gan
3D Concept Grounding on Neural Fields. NeurIPS (2022)
Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan
Learning Physical Dynamics with Subequivariant Graph Neural Networks. NeurIPS (2022)
Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Pack Kaelbling
PDSketch: Integrated Domain Programming, Learning, and Planning. NeurIPS (2022)
Yilun Du, Katie Collins, Josh Tenenbaum, Vincent Sitzmann
Learning Signal-Agnostic Manifolds of Neural Fields. NeurIPS (2021)
Christian Bongiorno, Yulun Zhou, Marta Kryven, David Theurel, Alessandro Rizzo, Paolo Santi, Josh Tenenbaum, Carlo Ratti
Vector-based pedestrian navigation in cities. Nat. Comput. Sci. 1 (10) (2021)
Nishad Gothoskar, Marco Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
3DP3: 3D Scene Perception via Probabilistic Programming. NeurIPS (2021)
Franziska Brändle, Kelsey R. Allen, Josh Tenenbaum, Eric Schulz
Using Games to Understand Intelligence. CogSci (2021)
Yining Hong, Li Yi, Josh Tenenbaum, Antonio Torralba, Chuang Gan
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. NeurIPS (2021)
Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum
LARC: Language annotated Abstraction and Reasoning Corpus. CogSci (2021)
Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash Mansinghka, Josh Tenenbaum
Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind. CogSci (2021)
Yingdong Qian, Marta Kryven, Tao Gao, Hanbyul Joo, Josh Tenenbaum
Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics. CoRR (2021)
Sydney Levine, Fiery Cushman, Iyad Rahwan, Josh Tenenbaum
Engineering and reverse-engineering morality. CogSci (2021)
Kai Xu, Akash Srivastava, Dan Gutfreund, Felix Sosa, Tomer D. Ullman, Josh Tenenbaum, Charles Sutton
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics. NeurIPS (2021)
Matthias Hofer, Tuan Anh Le, Roger Levy, Josh Tenenbaum
Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model. CogSci (2021)
Yoni Friedman, Tuan Anh Le, Bernhard Egger, Max H. Siegel, Josh Tenenbaum
Explaining the Gestalt principle of common fate as amortized inference. CogSci (2021)
Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Frédo Durand
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. NeurIPS (2021)
Gabrielle E. Ecanow, Catherine Wong, Samuel Acquaviva, Yewen Pu, Marta Kryven, Josh Tenenbaum
Core knowledge objects in reasoning and language use for highly abstract inductive tasks. CogSci (2021)
Eliza Kosoy, Masha Belyi, Charlie Snell, Brenden M. Lake, Josh Tenenbaum, Alison Gopnik
The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification? CogSci (2021)
Skylar Sutherland, Bernhard Egger, Josh Tenenbaum
Building 3D Morphable Models from a Single Scan. ICCVW (2021)
Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks (2021)
Hakan Yilmaz, Gargi Singh, Bernhard Egger, Josh Tenenbaum, Ilker Yildirim
Seeing in the dark: Testing deep neural network and analysis-by-synthesis accounts of 3D shape perception with highly degraded images. CogSci (2021)
Jiayuan Mao, Freda Shi, Jiajun Wu, Roger Levy, Josh Tenenbaum
Grammar-Based Grounded Lexicon Learning. NeurIPS (2021)
Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Josh Tenenbaum, Chuang Gan
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language. NeurIPS (2021)
Sophia Diggs-Galligan, Junyi Chu, Josh Tenenbaum, Laura Schulz
Explore, Exploit, Create: Inventing goals in play. CogSci (2021)
Catherine Wong, Yoni Friedman, Jacob Andreas, Josh Tenenbaum
Language as a bootstrap for compositional visual reasoning. CogSci (2021)
Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn
Noether Networks: meta-learning useful conserved quantities. NeurIPS (2021)
Daniel Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith E. Fan
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. NeurIPS Datasets and Benchmarks (2021)
Nan Liu, Shuang Li, Yilun Du, Josh Tenenbaum, Antonio Torralba
Learning to Compose Visual Relations. NeurIPS (2021)
Yilun Du, Shuang Li, Yash Sharma, Josh Tenenbaum, Igor Mordatch
Unsupervised Learning of Compositional Energy Concepts. NeurIPS (2021)
Kelsey R. Allen, Kevin A. Smith, Laura-Ashleigh Bird, Josh Tenenbaum, Tamar R. Makin, Dorothy Cowie
Meta-strategy learning in physical problem-solving: the effect of embodied experience. CogSci (2021)
Michael Henry Tessler, Pedro Tsividis, Jason Madeano, Brin Harper, Josh Tenenbaum
Growing knowledge culturally across generations to solve novel, complex task. CogSci (2021)
Zhutian Yang, Marta Kryven, Howard E. Shrobe, Josh Tenenbaum
Modeling human planning in a life-like search-and-rescue mission. CogSci (2021)
Suhyoun Yu, Marta Kryven, Josh Tenenbaum, Max Kleiman-Weiner
Unpacking the computations of human spatial search under uncertainty: noisy utility maximization, discounting, and probability warping. CogSci (2021)
Karl J. Friston, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, Hiroaki Gomi, Josh Tenenbaum
World model learning and inference. Neural Networks 144 (2021)
João Loula, Kelsey R. Allen, Josh Tenenbaum
Combining rules and simulation to explain infant physical learning. CogSci (2021)
Bo Wu, Shoubin Yu, Zhenfang Chen, Josh Tenenbaum, Chuang Gan
STAR: A Benchmark for Situated Reasoning in Real-World Videos. NeurIPS Datasets and Benchmarks (2021)
Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Josh Tenenbaum, Vikash Mansinghka
Online Bayesian Goal Inference for Boundedly Rational Planning Agents. NeurIPS (2020)
Alexander K. Lew, Michael Henry Tessler, Vikash Mansinghka, Josh Tenenbaum
Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought. CogSci (2020)
Kelsey R. Allen, Kevin Smith, Ulyana Piterbarg, Robert Chen, Josh Tenenbaum
Abstract strategy learning underlies flexible transfer in physical problem solving. CogSci (2020)
Skylar Sutherland, Bernhard Egger, Josh Tenenbaum
Learning a Generative Model of Human Faces Through Inverse Rendering. CogSci (2020)
Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. Yamins
Learning Physical Graph Representations from Visual Scenes. NeurIPS (2020)
Jon Gauthier, Jiayuan Mao, Tianmin Shu, Roger Levy, Josh Tenenbaum
Jointly learning motion verbs and frame semantics from natural language and grounded scenes. CogSci (2020)
Anselm Rothe, Eric Schulz, Mathias Sablé-Meyer, Josh Tenenbaum, Azzurra Ruggeri
Learning sequential patterns from graphical programs. CogSci (2020)
Michael Henry Tessler, Sophie Bridgers, Josh Tenenbaum
How many observations is one generic worth? CogSci (2020)
Akash Srivastava, Yamini Bansal, Yukun Ding, Cole L. Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund
Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling. CoRR (2020)
Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama
Program Synthesis with Pragmatic Communication. CoRR (2020)
Rabih Salhab, Amir Ajorlou, Ali Jadbabaie, Josh Tenenbaum
Social Learning with Sparse Belief Samples. CogSci (2020)
Bernhard Egger, Max H. Siegel, Riya Arora, Amir Arsalan Soltani, Ilker Yildirim, Josh Tenenbaum
Inverse Rendering Best Explains Face Perception Under Extreme Illuminations. CogSci (2020)
Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman
The fine structure of surprise in intuitive physics: when, why, and how much? CogSci (2020)
Tianmin Shu, Marta Kryven, Tomer D. Ullman, Josh Tenenbaum
Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics. CogSci (2020)
Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu
Multi-Plane Program Induction with 3D Box Priors. NeurIPS (2020)
Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
Few-Shot Bayesian Imitation Learning with Logical Program Policies. AAAI (2020)
Katherine Collins, Josh Tenenbaum, Kevin Smith
Perceiving unseen objects. CogSci (2020)
João Loula, Kelsey R. Allen, Tom Silver, Josh Tenenbaum
Learning constraint-based planning models from demonstrations. IROS (2020)
Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama
Program Synthesis with Pragmatic Communication. NeurIPS (2020)
Kevin Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Josh Tenenbaum, Tomer D. Ullman
The Origins of Common Sense in Humans and Machines. CogSci (2020)
Gal Raz, Setayesh Radkani, Josh Tenenbaum, Rebecca Saxe
Humans measure algorithmic complexity to guide engagement with event sequences. CogSci (2020)
Sarah A. Wu, Rose E. Wang, James A. Evans, Josh Tenenbaum, David C. Parkes, Max Kleiman-Weiner
Too many cooks: Coordinating multi-agent collaboration through inverse planning. CogSci (2020)
João Loula, Kelsey R. Allen, Josh Tenenbaum
A Task and Motion Approach to the Development of Planning. CogSci (2020)
Maxwell I. Nye, Armando Solar-Lezama, Josh Tenenbaum, Brenden M. Lake
Learning Compositional Rules via Neural Program Synthesis. NeurIPS (2020)
Lucas Y. Tian, Kevin Ellis, Marta Kryven, Josh Tenenbaum
Learning abstract structure for drawing by efficient motor program induction. NeurIPS (2020)
Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Josh Tenenbaum
Finding Friend and Foe in Multi-Agent Games. NeurIPS (2019)
Emmanuel M. Pothos, Jerome R. Busemeyer, Timothy J. Pleskac, James M. Yearsley, Josh Tenenbaum, Noah D. Goodman, Michael Henry Tessler, Tom Griffiths, Falk Lieder, Ralph Hertwig, Thorsten Pachur, Christina Leuker, Richard M. Shiffrin
Extending Rationality. CogSci (2019)
Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama
Write, Execute, Assess: Program Synthesis with a REPL. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Josh Tenenbaum