Josh Tenenbaum

210 papers A* 50A 2B 129Journal 16Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	Concept Learning as Coarse-to-Fine Probabilistic Program Induction. CogSci Maddy Bowers, Alexander K. Lew, Wenhao Qi, Joshua S. Rule, Vikash Mansinghka, Josh Tenenbaum, Armando Solar-Lezama
2024	B	`conf`	Connecting the dots: a comparative and developmental analysis of spatiotemporal pattern learning. CogSci Tracey Mills, Nicole Coates, Alessandra Acadia Silva, Stephen Ferrigno, Laura Schulz, Josh Tenenbaum, Samuel J. Cheyette
2024	B	`conf`	Cooperative Explanation as Rational Communication. CogSci Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
2024	A*	`conf`	Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads. NeurIPS Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin A. Smith, Josh Tenenbaum
2024	A*	`conf`	Evaluating Multiview Object Consistency in Humans and Image Models. NeurIPS Tyler Bonnen, Stephanie Fu, Yutong Bai, Thomas P. O'Connell, Yoni Friedman, Nancy Kanwisher, Josh Tenenbaum, Alexei A. Efros
2024	A*	`conf`	Few-Shot Task Learning through Inverse Generative Modeling. NeurIPS Aviv Netanyahu, Yilun Du, Antonia Bronars, Jyothish Pari, Josh Tenenbaum, Tianmin Shu, Pulkit Agrawal
2024	B	`conf`	Finding structure in logographic writing with library learning. CogSci Guangyuan Jiang, Matthias Hofer, Jiayuan Mao, Lionel Wong, Josh Tenenbaum, Roger Levy
2024	B	`conf`	Grounding Language about Belief in a Bayesian Theory-of-Mind. CogSci Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Josh Tenenbaum
2024	B	`conf`	Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals. CogSci Tan Zhi-Xuan, Gloria Kang, Vikash Mansinghka, Josh Tenenbaum
2024	B	`conf`	Intervening on Emotions by Planning Over a Theory of Mind. CogSci Tony Chen, Sean Dae Houlihan, Kartik Chandra, Josh Tenenbaum, Rebecca Saxe
2024	B	`conf`	Knowing What Counts for Counting. CogSci Karla E. Perez, Max H. Siegel, Nicole Coates, Josh Tenenbaum, Laura Schulz
2024	B	`conf`	Listener Knowledge Structures Commonsense Explanation. CogSci Yuka Machino, Ron Shprints, Max H. Siegel, Lionel Wong, Josh Tenenbaum
2024	B	`conf`	Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling. CogSci Gabriel Grand, Valerio Pepe, Jacob Andreas, Josh Tenenbaum
2024	B	`conf`	Moral flexibility in applying queuing norms can be explained by contractualist principles and game-theoretic considerations. CogSci Joshua P. White, Rahul Bhui, Fiery Cushman, Josh Tenenbaum, Sydney Levine
2024	B	`conf`	Naturalistic Transmission of Causal Knowledge between Machines and Humans. CogSci Cédric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah D. Goodman, Jacob Andreas, Josh Tenenbaum
2024	B	`conf`	Neuro-Symbolic Models of Human Moral Judgment. CogSci Joseph Kwon, Josh Tenenbaum, Sydney Levine
2024	B	`conf`	People use fast, goal-directed simulation to reason about novel games. CogSci Cedegao E. Zhang, Katherine M. Collins, Lionel Wong, Adrian Weller, Josh Tenenbaum
2024	A*	`conf`	Physically Compatible 3D Object Modeling from a Single Image. NeurIPS Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Josh Tenenbaum, Kaiming He, Wojciech Matusik
2024	B	`conf`	Probabilistic simulation supports generalizable intuitive physics. CogSci Haoliang Wang, Khaled Jedoui, Rahul Mysore Venkatesh, Felix Jedidja Binder, Josh Tenenbaum, Judith E. Fan, Daniel Yamins, Kevin A. Smith
2024	B	`conf`	Who is responsible for collective action? CogSci Casey Lewry, Tania Lombrozo, Shannon Wing, Sydney Levine, Josh Tenenbaum, Lionel Wong, Sofia Bonicalzi, Tobias Gerstenberg
2023	B	`conf`	"Just In Time" Representations for Mental Simulation in Intuitive Physics. CogSci Tony Chen, Kelsey R. Allen, Samuel J. Cheyette, Josh Tenenbaum, Kevin A. Smith
2023	A*	`conf`	3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. NeurIPS Haotian Xue, Antonio Torralba, Josh Tenenbaum, Dan Yamins, Yunzhu Li, Hsiao-Yu Tung
2023	J	`jnl`	Acting as Inverse Inverse Planning. CoRR Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
2023	J	`jnl`	Compositional Foundation Models for Hierarchical Planning. CoRR Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Josh Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal
2023	A*	`conf`	Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. NeurIPS Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Frédo Durand, Bill Freeman, Vincent Sitzmann
2023	B	`conf`	Evaluating statistical language models as pragmatic reasoners. CogSci Benjamin Lipkin, Lionel Wong, Gabriel Grand, Josh Tenenbaum
2023	B	`conf`	Grounded physical language understanding with probabilistic programs and simulated worlds. CogSci Cedegao Zhang, Lionel Wong, Gabriel Grand, Josh Tenenbaum
2023	A*	`conf`	Human spatiotemporal pattern learning as probabilistic program synthesis. NeurIPS Tracey Mills, Josh Tenenbaum, Samuel J. Cheyette
2023	A*	`conf`	Inferring the Future by Imagining the Past. NeurIPS Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum
2023	B	`conf`	Language Models as Informative Goal Priors in a Bayesian Theory of Mind. CogSci Tan Zhi-Xuan, Paul Stefan Lunis, Nathalie Fernandez Echeverri, Vikash Mansinghka, Josh Tenenbaum
2023	A*	`conf`	Learning Universal Policies via Text-Guided Video Generation. NeurIPS Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, Pieter Abbeel
2023	B	`conf`	People seek easily interpretable information. CogSci Samuel J. Cheyette, Frederick Callaway, Neil R. Bramley, Jonathan D. Nelson, Josh Tenenbaum
2023	B	`conf`	Perception of Mooney Faces: Extreme Generalization through Inverse Rendering? CogSci Shreya Kapoor, Maximilian Weiherer, Max H. Siegel, Amir Arsalan Soltani, Ilker Yildirim, Josh Tenenbaum, Bernhard Egger
2023	A*	`conf`	Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. NeurIPS Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith E. Fan, Kevin A. Smith
2023	B	`conf`	Representations of Abstract Relations in Early Childhood. CogSci Nicole Coates, Max H. Siegel, Josh Tenenbaum, Laura Schulz
2023	B	`conf`	Storytelling as Inverse Inverse Planning. CogSci Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley
2023	B	`conf`	Strategy choice for physical reasoning is (partially) sensitive to cognitive costs. CogSci Thomas Ngo, Samuel J. Cheyette, Josh Tenenbaum, Kevin A. Smith
2023	B	`conf`	Towards a model of confidence judgements in concept learning. CogSci Tracey Mills, Cedegao Zhang, Tony Chen, Josh Tenenbaum
2023	B	`conf`	When it's not out of line to get out of line: Principles of universalizability, welfare, and harm. CogSci Joseph Kwon, Tan Zhi-Xuan, Josh Tenenbaum, Sydney Levine
2022	A*	`conf`	3D Concept Grounding on Neural Fields. NeurIPS Yining Hong, Yilun Du, Chunru Lin, Josh Tenenbaum, Chuang Gan
2022	B	`conf`	Benchmarking mid-level vision with texture-defined 3D objects. CogSci Yoni Friedman, Thomas P. O'Connell, Max H. Siegel, Daniel M. Bear, Tuan Anh Le, Bernhard Egger, Josh Tenenbaum
2022	A*	`conf`	Communicating Natural Programs to Humans and Machines. NeurIPS Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, Josh Tenenbaum
2022	A*	`conf`	Drawing out of Distribution with Neuro-Symbolic Generative Models. NeurIPS Yichao Liang, Josh Tenenbaum, Tuan Anh Le, N. Siddharth
2022	B	`conf`	Efficient exploration of spatial environments through Map Induction using adaptable compositional map representations. CogSci Sugandha Sharma, Aidan Curtis, Marta Kryven, Josh Tenenbaum, Ila Fiete
2022	B	`conf`	Flexibility in Moral Cognition: When is it okay to break the rules? CogSci Joseph Kwon, Josh Tenenbaum, Sydney Levine
2022	A*	`conf`	HandMeThat: Human-Robot Communication in Physical and Social Environments. NeurIPS Yanming Wan, Jiayuan Mao, Josh Tenenbaum
2022	B	`conf`	Identifying concept libraries from language about object structure. CogSci Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan
2022	B	`conf`	Joint online inference of material properties and object shape. CogSci Vivian C. Paulun, Max H. Siegel, Josh Tenenbaum
2022	A*	`conf`	Learning Neural Acoustic Fields. NeurIPS Andrew F. Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan
2022	A*	`conf`	Learning Physical Dynamics with Subequivariant Graph Neural Networks. NeurIPS Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan
2022	B	`conf`	Learning as Programming: Modeling Efficient Search in Human Concept Learning. CogSci Joshua S. Rule, Steven T. Piantadosi, Josh Tenenbaum
2022	B	`conf`	Modeling punishment as a rational communicative social action. CogSci Setayesh Radkani, Josh Tenenbaum, Rebecca Saxe
2022	B	`conf`	Modeling risky food sharing as rational communication about relationships. CogSci Michelle Simona Hung, Ashley J. Thomas, Setayesh Radkani, Josh Tenenbaum, Rebecca Saxe
2022	A*	`conf`	PDSketch: Integrated Domain Programming, Learning, and Planning. NeurIPS Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Pack Kaelbling
2022	B	`conf`	Preschoolers' sensitivity to abstract correlations in the properties of sets and functions. CogSci Nicole Coates, Max H. Siegel, Junyi Chu, Melissa Kline, Josh Tenenbaum, Laura Schulz
2022	—	`conf`	Revisiting the Roles of "Text" in Text Games. EMNLP (Findings) Yi Gu, Shunyu Yao, Chuang Gan, Josh Tenenbaum, Mo Yu
2022	B	`conf`	Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. CogSci Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Josh Tenenbaum
2022	A*	`conf`	When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. NeurIPS Zhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
2022	J	`jnl`	When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment. CoRR Zhijing Jin, Sydney Levine, Fernando Gonzalez, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum, Bernhard Schölkopf
2021	A*	`conf`	3DP3: 3D Scene Perception via Probabilistic Programming. NeurIPS Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Josh Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka
2021	A*	`conf`	A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics. NeurIPS Kai Xu, Akash Srivastava, Dan Gutfreund, Felix Sosa, Tomer D. Ullman, Josh Tenenbaum, Charles Sutton
2021	—	`conf`	Building 3D Morphable Models from a Single Scan. ICCVW Skylar Sutherland, Bernhard Egger, Josh Tenenbaum
2021	B	`conf`	Combining rules and simulation to explain infant physical learning. CogSci João Loula, Kelsey R. Allen, Josh Tenenbaum
2021	B	`conf`	Core knowledge objects in reasoning and language use for highly abstract inductive tasks. CogSci Gabrielle E. Ecanow, Catherine Wong, Samuel Acquaviva, Yewen Pu, Marta Kryven, Josh Tenenbaum
2021	A*	`conf`	Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language. NeurIPS Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Josh Tenenbaum, Chuang Gan
2021	B	`conf`	Engineering and reverse-engineering morality. CogSci Sydney Levine, Fiery Cushman, Iyad Rahwan, Josh Tenenbaum
2021	B	`conf`	Explaining the Gestalt principle of common fate as amortized inference. CogSci Yoni Friedman, Tuan Anh Le, Bernhard Egger, Max H. Siegel, Josh Tenenbaum
2021	B	`conf`	Explore, Exploit, Create: Inventing goals in play. CogSci Sophia Diggs-Galligan, Junyi Chu, Josh Tenenbaum, Laura Schulz
2021	A*	`conf`	Grammar-Based Grounded Lexicon Learning. NeurIPS Jiayuan Mao, Freda Shi, Jiajun Wu, Roger Levy, Josh Tenenbaum
2021	B	`conf`	Growing knowledge culturally across generations to solve novel, complex task. CogSci Michael Henry Tessler, Pedro Tsividis, Jason Madeano, Brin Harper, Josh Tenenbaum
2021	B	`conf`	LARC: Language annotated Abstraction and Reasoning Corpus. CogSci Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum
2021	B	`conf`	Language as a bootstrap for compositional visual reasoning. CogSci Catherine Wong, Yoni Friedman, Jacob Andreas, Josh Tenenbaum
2021	B	`conf`	Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model. CogSci Matthias Hofer, Tuan Anh Le, Roger Levy, Josh Tenenbaum
2021	A*	`conf`	Learning Signal-Agnostic Manifolds of Neural Fields. NeurIPS Yilun Du, Katie Collins, Josh Tenenbaum, Vincent Sitzmann
2021	A*	`conf`	Learning to Compose Visual Relations. NeurIPS Nan Liu, Shuang Li, Yilun Du, Josh Tenenbaum, Antonio Torralba
2021	A*	`conf`	Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. NeurIPS Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Frédo Durand
2021	B	`conf`	Meta-strategy learning in physical problem-solving: the effect of embodied experience. CogSci Kelsey R. Allen, Kevin A. Smith, Laura-Ashleigh Bird, Josh Tenenbaum, Tamar R. Makin, Dorothy Cowie
2021	J	`jnl`	Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics. CoRR Yingdong Qian, Marta Kryven, Tao Gao, Hanbyul Joo, Josh Tenenbaum
2021	B	`conf`	Modeling human planning in a life-like search-and-rescue mission. CogSci Zhutian Yang, Marta Kryven, Howard E. Shrobe, Josh Tenenbaum
2021	B	`conf`	Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind. CogSci Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash Mansinghka, Josh Tenenbaum
2021	A*	`conf`	Noether Networks: meta-learning useful conserved quantities. NeurIPS Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn
2021	A*	`conf`	PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. NeurIPS Yining Hong, Li Yi, Josh Tenenbaum, Antonio Torralba, Chuang Gan
2021	—	`conf`	Physion: Evaluating Physical Prediction from Vision in Humans and Machines. NeurIPS Datasets and Benchmarks 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
2021	—	`conf`	STAR: A Benchmark for Situated Reasoning in Real-World Videos. NeurIPS Datasets and Benchmarks Bo Wu, Shoubin Yu, Zhenfang Chen, Josh Tenenbaum, Chuang Gan
2021	B	`conf`	Seeing in the dark: Testing deep neural network and analysis-by-synthesis accounts of 3D shape perception with highly degraded images. CogSci Hakan Yilmaz, Gargi Singh, Bernhard Egger, Josh Tenenbaum, Ilker Yildirim
2021	B	`conf`	The Omniglot Jr. challenge; Can a model achieve child-level character generation and classification? CogSci Eliza Kosoy, Masha Belyi, Charlie Snell, Brenden M. Lake, Josh Tenenbaum, Alison Gopnik
2021	—	`conf`	ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks 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
2021	B	`conf`	Unpacking the computations of human spatial search under uncertainty: noisy utility maximization, discounting, and probability warping. CogSci Suhyoun Yu, Marta Kryven, Josh Tenenbaum, Max Kleiman-Weiner
2021	A*	`conf`	Unsupervised Learning of Compositional Energy Concepts. NeurIPS Yilun Du, Shuang Li, Yash Sharma, Josh Tenenbaum, Igor Mordatch
2021	B	`conf`	Using Games to Understand Intelligence. CogSci Franziska Brändle, Kelsey R. Allen, Josh Tenenbaum, Eric Schulz
2021	J	`jnl`	Vector-based pedestrian navigation in cities. Nat. Comput. Sci. Christian Bongiorno, Yulun Zhou, Marta Kryven, David Theurel, Alessandro Rizzo, Paolo Santi, Josh Tenenbaum, Carlo Ratti
2021	J	`jnl`	World model learning and inference. Neural Networks Karl J. Friston, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, Hiroaki Gomi, Josh Tenenbaum
2020	B	`conf`	A Task and Motion Approach to the Development of Planning. CogSci João Loula, Kelsey R. Allen, Josh Tenenbaum
2020	B	`conf`	Abstract strategy learning underlies flexible transfer in physical problem solving. CogSci Kelsey R. Allen, Kevin Smith, Ulyana Piterbarg, Robert Chen, Josh Tenenbaum
2020	B	`conf`	Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics. CogSci Tianmin Shu, Marta Kryven, Tomer D. Ullman, Josh Tenenbaum
2020	A*	`conf`	Few-Shot Bayesian Imitation Learning with Logical Program Policies. AAAI Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
2020	B	`conf`	How many observations is one generic worth? CogSci Michael Henry Tessler, Sophie Bridgers, Josh Tenenbaum
2020	B	`conf`	Humans measure algorithmic complexity to guide engagement with event sequences. CogSci Gal Raz, Setayesh Radkani, Josh Tenenbaum, Rebecca Saxe
2020	J	`jnl`	Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modelling. CoRR Akash Srivastava, Yamini Bansal, Yukun Ding, Cole L. Hurwitz, Kai Xu, Bernhard Egger, Prasanna Sattigeri, Josh Tenenbaum, David D. Cox, Dan Gutfreund
2020	B	`conf`	Inverse Rendering Best Explains Face Perception Under Extreme Illuminations. CogSci Bernhard Egger, Max H. Siegel, Riya Arora, Amir Arsalan Soltani, Ilker Yildirim, Josh Tenenbaum
2020	B	`conf`	Jointly learning motion verbs and frame semantics from natural language and grounded scenes. CogSci Jon Gauthier, Jiayuan Mao, Tianmin Shu, Roger Levy, Josh Tenenbaum
2020	A*	`conf`	Learning Compositional Rules via Neural Program Synthesis. NeurIPS Maxwell I. Nye, Armando Solar-Lezama, Josh Tenenbaum, Brenden M. Lake
2020	A*	`conf`	Learning Physical Graph Representations from Visual Scenes. NeurIPS Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. K. Yamins
2020	B	`conf`	Learning a Generative Model of Human Faces Through Inverse Rendering. CogSci Skylar Sutherland, Bernhard Egger, Josh Tenenbaum
2020	A*	`conf`	Learning abstract structure for drawing by efficient motor program induction. NeurIPS Lucas Yanan Tian, Kevin Ellis, Marta Kryven, Josh Tenenbaum
2020	A	`conf`	Learning constraint-based planning models from demonstrations. IROS João Loula, Kelsey R. Allen, Tom Silver, Josh Tenenbaum
2020	B	`conf`	Learning sequential patterns from graphical programs. CogSci Anselm Rothe, Eric Schulz, Mathias Sablé-Meyer, Josh Tenenbaum, Azzurra Ruggeri
2020	B	`conf`	Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought. CogSci Alexander K. Lew, Michael Henry Tessler, Vikash Mansinghka, Josh Tenenbaum
2020	A*	`conf`	Multi-Plane Program Induction with 3D Box Priors. NeurIPS Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu
2020	A*	`conf`	Online Bayesian Goal Inference for Boundedly Rational Planning Agents. NeurIPS Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Josh Tenenbaum, Vikash Mansinghka
2020	B	`conf`	Perceiving unseen objects. CogSci Katherine M. Collins, Josh Tenenbaum, Kevin Smith
2020	A*	`conf`	Program Synthesis with Pragmatic Communication. NeurIPS Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama
2020	J	`jnl`	Program Synthesis with Pragmatic Communication. CoRR Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama
2020	B	`conf`	Social Learning with Sparse Belief Samples. CogSci Rabih Salhab, Amir Ajorlou, Ali Jadbabaie, Josh Tenenbaum
2020	B	`conf`	The Origins of Common Sense in Humans and Machines. CogSci Kevin Smith, Eliza Kosoy, Alison Gopnik, Deepak Pathak, Alan Fern, Josh Tenenbaum, Tomer D. Ullman
2020	B	`conf`	The fine structure of surprise in intuitive physics: when, why, and how much? CogSci Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman
2020	B	`conf`	Too many cooks: Coordinating multi-agent collaboration through inverse planning. CogSci Sarah A. Wu, Rose E. Wang, James A. Evans, Josh Tenenbaum, David C. Parkes, Max Kleiman-Weiner
2019	B	`conf`	A rational model of syntactic bootstrapping. CogSci Jon Gauthier, Roger Levy, Josh Tenenbaum
2019	B	`conf`	Choosing the unimaginable: Social psychological factors in seeking transformative experiences. CogSci Marta Kryven, Laura Niemi, Laurie Paul, Josh Tenenbaum
2019	B	`conf`	Discovering a symbolic planning language from continuous experience. CogSci João Loula, Tom Silver, Kelsey R. Allen, Josh Tenenbaum
2019	B	`conf`	Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects. CogSci Tomer D. Ullman, Eliza Kosoy, Ilker Yildirim, Amir Arsalan Soltani, Max H. Siegel, Josh Tenenbaum, Elizabeth S. Spelke
2019	B	`conf`	Emotion attributions echo the structure of people's intuitive theory of psychology. CogSci Sean Dae Houlihan, Max Kleiman-Weiner, Josh Tenenbaum, Rebecca Saxe
2019	B	`conf`	Explaining intuitive difficulty judgments by modeling physical effort and risk. CogSci Ilker Yildirim, Basil Saeed, Grace Bennett-Pierre, Tobias Gerstenberg, Josh Tenenbaum, Hyowon Gweon
2019	B	`conf`	Extending Rationality. CogSci 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
2019	J	`jnl`	Few-Shot Bayesian Imitation Learning with Logic over Programs. CoRR Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum
2019	A*	`conf`	Finding Friend and Foe in Multi-Agent Games. NeurIPS Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Josh Tenenbaum
2019	B	`conf`	Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. CogSci Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum
2019	B	`conf`	Inferring Structured Visual Concepts from Minimal Data. CogSci Peng Qian, Luke B. Hewitt, Josh Tenenbaum, Roger Levy
2019	B	`conf`	Learning a novel rule-based conceptual system. CogSci Joshua S. Rule, Josh Tenenbaum, Steven T. Piantadosi
2019	B	`conf`	Look out, it's going to fall!: Does physical instability capture attention and lead to distraction? CogSci Marta Kryven, Sholei Croom, Brian J. Scholl, Josh Tenenbaum
2019	A*	`conf`	Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations. NeurIPS Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman
2019	B	`conf`	Modeling Expertise with Neurally-Guided Bayesian Program Induction. CogSci Catherine Wong, Kevin Ellis, Mathias Sablé-Meyer, Josh Tenenbaum
2019	A*	`conf`	ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models. NeurIPS Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, Boris Katz
2019	B	`conf`	Query-guided visual search. CogSci Junyi Chu, Jon Gauthier, Roger Levy, Josh Tenenbaum, Laura Schulz
2019	B	`conf`	Rapid Trial-and-Error Learning in Physical Problem Solving. CogSci Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum
2019	B	`conf`	Real-time inference of physical properties in dynamic scenes. CogSci Kevin Smith, Mario Belledonne, Ilker Yildirim, Jiajun Wu, Josh Tenenbaum
2019	B	`conf`	Simplicity and Probability in Human Judgment. CogSci Tyler Brooke-Wilson, Jonathan S. Rosenfeld, Matthias Hofer, Junyi Chu, Josh Tenenbaum
2019	B	`conf`	The effects of object motion observations on physical prediction. CogSci Moyuru Yamada, Kevin A. Smith, Josh Tenenbaum
2019	A*	`conf`	Visual Concept-Metaconcept Learning. NeurIPS Chi Han, Jiayuan Mao, Chuang Gan, Josh Tenenbaum, Jiajun Wu
2019	B	`conf`	What if everybody did that?: Universalization as a mechanism of moral decision-making. CogSci Sydney Levine, Max Kleiman-Weiner, Laura Schulz, Josh Tenenbaum, Fiery Cushman
2019	B	`conf`	When circumstances change, update your pronouns. CogSci Joshua K. Hartshorne, Mariela V. Jennings, Tobias Gerstenberg, Josh Tenenbaum
2019	A*	`conf`	Write, Execute, Assess: Program Synthesis with a REPL. NeurIPS Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama
2019	J	`jnl`	Write, Execute, Assess: Program Synthesis with a REPL. CoRR Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama
2018	A*	`conf`	3D-Aware Scene Manipulation via Inverse Graphics. NeurIPS Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, Josh Tenenbaum
2018	J	`jnl`	A Computational Model of Commonsense Moral Decision Making. CoRR Richard Kim, Max Kleiman-Weiner, Andrés Abeliuk, Edmond Awad, Sohan Dsouza, Josh Tenenbaum, Iyad Rahwan
2018	B	`conf`	A generative model of people's intuitive theory of emotions: inverse planning in rich social games. CogSci Sean Dae Houlihan, Max Kleiman-Weiner, Josh Tenenbaum, Rebecca Saxe
2018	J	`jnl`	At Human Speed: Deep Reinforcement Learning with Action Delay. CoRR Vlad Firoiu, Tina Ju, Josh Tenenbaum
2018	B	`conf`	Auditory scene analysis as Bayesian inference in sound source models. CogSci Maddie Cusimano, Luke B. Hewitt, Josh Tenenbaum, Josh H. McDermott
2018	A	`conf`	Building Machines that Learn and Think Like People. AAMAS Josh Tenenbaum
2018	A*	`conf`	End-to-End Differentiable Physics for Learning and Control. NeurIPS Filipe de Avila Belbute-Peres, Kevin A. Smith, Kelsey R. Allen, Josh Tenenbaum, J. Zico Kolter
2018	B	`conf`	Evidence for an Intuitive Physics Engine in the Human Brain. CogSci Sarah Schwettmann, Jason Fischer, Josh Tenenbaum, Nancy Kanwisher
2018	A*	`conf`	Flexible neural representation for physics prediction. NeurIPS Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Josh Tenenbaum, Daniel L. K. Yamins
2018	B	`conf`	Grounding Compositional Hypothesis Generation in Specific Instances. CogSci Neil Bramley, Anselm Rothe, Josh Tenenbaum, Fei Xu, Todd M. Gureckis
2018	B	`conf`	Hierarchical Drift-Diffusion Model for Moral Dilemma: Understanding Reaction Times and Choices. CogSci Richard Kim, Niccolo Pescetelli, Max Kleiman-Weiner, Edmond Awad, Sohan Dsouza, Josh Tenenbaum, Iyad Rahwan
2018	B	`conf`	Inductive Biases in the Evolution of Combinatorial Structure in Language. CogSci Matthias Hofer, Josh Tenenbaum, Roger Levy
2018	A*	`conf`	Learning Libraries of Subroutines for Neurally-Guided Bayesian Program Induction. NeurIPS Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Josh Tenenbaum
2018	B	`conf`	Learning as program induction. CogSci Neil Bramley, Eric Schulz, Fei Xu, Josh Tenenbaum
2018	B	`conf`	Learning list concepts through program induction. CogSci Joshua S. Rule, Eric Schulz, Steven T. Piantadosi, Josh Tenenbaum
2018	A*	`conf`	Learning to Exploit Stability for 3D Scene Parsing. NeurIPS Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, Bill Freeman, Josh Tenenbaum, Jiajun Wu
2018	A*	`conf`	Learning to Infer Graphics Programs from Hand-Drawn Images. NeurIPS Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Josh Tenenbaum
2018	A*	`conf`	Learning to Reconstruct Shapes from Unseen Classes. NeurIPS Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu
2018	A*	`conf`	Learning to Share and Hide Intentions using Information Regularization. NeurIPS Daniel Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew M. Botvinick, David J. Schwab
2018	J	`jnl`	Learning to Share and Hide Intentions using Information Regularization. CoRR DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew M. Botvinick, David J. Schwab
2018	B	`conf`	Learning to act by integrating mental simulations and physical experiments. CogSci Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman
2018	J	`jnl`	Logical Rule Induction and Theory Learning Using Neural Theorem Proving. CoRR Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel
2018	B	`conf`	Moral Dynamics: A Computational Model of Moral Judgment. CogSci Felix Sosa, Tomer D. Ullman, Samuel Gershman, Josh Tenenbaum, Tobias Gerstenberg
2018	A*	`conf`	Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. NeurIPS Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Josh Tenenbaum
2018	B	`conf`	Physical Inference for Object Perception in Complex Auditory Scenes. CogSci Max H. Siegel, Josh Tenenbaum, Josh H. McDermott
2018	B	`conf`	Relational inductive bias for physical construction in humans and machines. CogSci Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia
2018	J	`jnl`	Residual Policy Learning. CoRR Tom Silver, Kelsey R. Allen, Josh Tenenbaum, Leslie Pack Kaelbling
2018	B	`conf`	Strategies and representations in physical inference. CogSci Kevin A. Smith, Josh Tenenbaum, Erin M. Anderson, Susan J. Hespos, Lance J. Rips, Chaz Firestone, Jessica B. Hamrick
2018	B	`conf`	The Cognitive Mechanisms of Contractualist Moral Decision-Making. CogSci Sydney Levine, Max Kleiman-Weiner, Nicholas Chater, Fiery Cushman, Josh Tenenbaum
2018	B	`conf`	The Evolution of Cooperation in Cognitively Flexible Agents. CogSci Max Kleiman-Weiner, Alejandro Vientós, David Rand, Josh Tenenbaum
2018	B	`conf`	Tiptoeing around it: Inference from absence in potentially offensive speech. CogSci Monica A. Gates, Tess L. Veuthey, Michael Henry Tessler, Kevin A. Smith, Tobias Gerstenberg, Laurie Bayet, Josh Tenenbaum
2018	A*	`conf`	Visual Object Networks: Image Generation with Disentangled 3D Representations. NeurIPS Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman
2018	B	`conf`	What happened? Reconstructing the past through vision and sound. CogSci Tobias Gerstenberg, Max H. Siegel, Josh Tenenbaum
2018	B	`conf`	Word learning and the acquisition of syntactic-semantic overhypotheses. CogSci Jon Gauthier, Roger Levy, Josh Tenenbaum
2017	B	`conf`	Big Data and Little Learners. CogSci John C. Trueswell, Linda B. Smith, Josh Tenenbaum, Charles Yang
2017	B	`conf`	Causal and compositional generative models in online perception. CogSci Ilker Yildirim, Michael Janner, Mario Belledonne, Christian Wallraven, Winrich Freiwald, Josh Tenenbaum
2017	B	`conf`	Constructing Social Preferences From Anticipated Judgments: When Impartial Inequity is Fair and Why? CogSci Max Kleiman-Weiner, Alex Shaw, Josh Tenenbaum
2017	B	`conf`	Cooperative Social Intelligence: Understanding and Acting with Other. CogSci Max Kleiman-Weiner, Yibiao Zhao, Josh Tenenbaum
2017	B	`conf`	Intuitive psychophysics: Children's exploratory play quantitatively tracks the discriminability of alternative hypotheses. CogSci Rachel Magid, Max H. Siegel, Josh Tenenbaum, Laura Schulz
2017	—	`conf`	Learning to See Physics via Visual De-animation. NIPS Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum
2017	—	`conf`	MarrNet: 3D Shape Reconstruction via 2.5D Sketches. NIPS Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, Bill Freeman, Josh Tenenbaum
2017	B	`conf`	One-shot Learning and Classification in Children. CogSci Eliza Kosoy, Brenden M. Lake, Josh Tenenbaum
2017	B	`conf`	Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. CogSci Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum
2017	J	`jnl`	Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. CoRR Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum
2017	B	`conf`	Preschoolers and Infants Calibrate Persistence from Adult Models. CogSci Julia A. Leonard, Max Kleiman-Weiner, Yuna Lee, Josh Tenenbaum, Laura Schulz
2017	—	`conf`	Self-Supervised Intrinsic Image Decomposition. NIPS Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Josh Tenenbaum
2017	—	`conf`	Shape and Material from Sound. NIPS Zhoutong Zhang, Qiujia Li, Zhengjia Huang, Jiajun Wu, Josh Tenenbaum, Bill Freeman
2017	B	`conf`	Simulation and heuristics in flexible tool use. CogSci Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum
2017	B	`conf`	Thinking and Guessing: Bayesian and Empirical Models of How Humans Search. CogSci Marta Kryven, Tomer D. Ullman, William Cowan, Josh Tenenbaum
2017	B	`conf`	What's worth the effort: Ten-month-old infants infer the value of goals from the costs of actions. CogSci Shari Liu, Tomer D. Ullman, Josh Tenenbaum, Elizabeth S. Spelke
2017	B	`conf`	Workshop proposal: Deep Learning in Computational Cognitive Science. CogSci Ilker Yildirim, Josh Tenenbaum
2016	B	`conf`	Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension. CogSci Tomer D. Ullman, Max H. Siegel, Josh Tenenbaum, Samuel Gershman
2016	B	`conf`	Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction. CogSci Max Kleiman-Weiner, Mark K. Ho, Joseph L. Austerweil, Michael L. Littman, Josh Tenenbaum
2016	B	`conf`	Feature-based Joint Planning and Norm Learning in Collaborative Games. CogSci Mark K. Ho, James MacGlashan, Amy Greenwald, Michael L. Littman, Elizabeth Hilliard, Carl Trimbach, Stephen Brawner, Josh Tenenbaum, Max Kleiman-Weiner, Joseph L. Austerweil
2016	—	`conf`	Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. NIPS Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum
2016	B	`conf`	Integrating identification and perception: A case study of familiar and unfamiliar face processing. CogSci Kelsey R. Allen, Ilker Yildirim, Josh Tenenbaum
2016	B	`conf`	Integrating physical reasoning and visual object recognition for fully occluded scene interpretation. CogSci Ilker Yildirim, Max H. Siegel, Josh Tenenbaum
2016	—	`conf`	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. NIPS Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, Josh Tenenbaum
2016	B	`conf`	Outcome or Strategy? A Bayesian Model of Intelligence Attribution. CogSci Marta Kryven, Tomer D. Ullman, William Cowan, Josh Tenenbaum
2016	—	`conf`	Probing the Compositionality of Intuitive Functions. NIPS Eric Schulz, Josh Tenenbaum, David Duvenaud, Maarten Speekenbrink, Samuel J. Gershman
2016	—	`conf`	Sampling for Bayesian Program Learning. NIPS Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum
2016	B	`conf`	The Naïve Utility Calculus unifies spatial and statistical routes to preference. CogSci Julian Jara-Ettinger, Felix Sun, Laura Schulz, Josh Tenenbaum
2016	B	`conf`	Understanding "almost": Empirical and computational studies of near misses. CogSci Tobias Gerstenberg, Josh Tenenbaum
2015	B	`conf`	Children's ability to infer beliefs and desires from emotional reactions. CogSci Yang Wu, Chris L. Baker, Josh Tenenbaum, Laura Schulz
2014	B	`conf`	Computational Creativity: Generating new objects with a hierarchical Bayesian model. CogSci Brenden M. Lake, Josh Tenenbaum
2011	B	`conf`	Forward Physics: How people learn and generalize novel dynamical models. CogSci Tomer D. Ullman, Noah D. Goodman, Josh Tenenbaum
2011	B	`conf`	Learning individual words and learning about words simultaneously. CogSci Sylvia Yuan, Amy Perfors, Josh Tenenbaum, Fei Xu