Tenenbaum, Joshua B.

181 publications

ICLR 2025 Can Large Language Models Understand Symbolic Graphics Programs? Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf

TMLR 2025 Getting Aligned on Representational Alignment Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J Cueva, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine Hermann, Kerem Oktar, Klaus Greff, Martin N Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus Robert Muller, Mariya Toneva, Thomas L. Griffiths

CoRL 2025 LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Aidan Curtis, Hao Tang, Thiago Veloso, Kevin Ellis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

NeurIPS 2025 Learning Linear Attention in Polynomial Time Morris Yau, Ekin Akyürek, Jiayuan Mao, Joshua B. Tenenbaum, Stefanie Jegelka, Jacob Andreas

ICLR 2025 Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch

ICLRW 2025 Representational Alignment Supports Effective Teaching Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore Sumers, Michalis Korakakis, Umang Bhatt, Mark K Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary Pardos, Adrian Weller, Thomas L. Griffiths

ICLRW 2025 Self-Steering Language Models Gabriel Grand, Joshua B. Tenenbaum, Vikash Mansinghka, Alexander K. Lew, Jacob Andreas

TMLR 2025 Synthesizing World Models for Bilevel Planning Zergham Ahmed, Joshua B. Tenenbaum, Chris Bates, Samuel J. Gershman

ICML 2025 Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz

ICLR 2025 Vision CNNs Trained to Estimate Spatial Latents Learned Similar Ventral-Stream-Aligned Representations Yudi Xie, Weichen Huang, Esther Alter, Jeremy Schwartz, Joshua B. Tenenbaum, James J. DiCarlo

ICLR 2025 VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, Joao F. Henriques, Kevin Ellis

ICLR 2025 What Makes a Maze Look like a Maze? Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Noah Goodman, Jiajun Wu

NeurIPSW 2024 A Llama Sunk My Battleship! Asking Rational Questions with LLMs via Bayesian Inference Gabriel Grand, Valerio Pepe, Jacob Andreas, Joshua B. Tenenbaum

ICLR 2024 Building Cooperative Embodied Agents Modularly with Large Language Models Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan

ICML 2024 Compositional Image Decomposition with Diffusion Models Jocelin Su, Nan Liu, Yanbo Wang, Joshua B. Tenenbaum, Yilun Du

ICML 2024 ContPhy: Continuum Physical Concept Learning and Reasoning from Videos Zhicheng Zheng, Xin Yan, Zhenfang Chen, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, Chuang Gan

NeurIPS 2024 Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin Smith, Joshua B. Tenenbaum

NeurIPS 2024 Evaluating Multiview Object Consistency in Humans and Image Models Tyler Bonnen, Stephanie Fu, Yutong Bai, Thomas O'Connell, Yoni Friedman, Nancy Kanwisher, Joshua B. Tenenbaum, Alexei A. Efros

AAAI 2024 Generalized Planning in PDDL Domains with Pretrained Large Language Models Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz

ICLR 2024 HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan

ICML 2024 Improving Factuality and Reasoning in Language Models Through Multiagent Debate Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch

ICLR 2024 LILO: Learning Interpretable Libraries by Compressing and Documenting Code Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas

ICML 2024 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik

NeurIPSW 2024 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik

ICMLW 2024 Learning Generative Population Models from Multiple Clinical Datasets via Probabilistic Programming João Loula, Katherine M. Collins, Ulrich Schaechtle, Joshua B. Tenenbaum, Adrian Weller, Feras Saad, Timothy J. O'Donnell, Vikash Mansinghka

ICLR 2024 Learning Grounded Action Abstractions from Language Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas

ICML 2024 Learning Iterative Reasoning Through Energy Diffusion Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum

ICLR 2024 Learning to Act from Actionless Videos Through Dense Correspondences Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum

ICLR 2024 Learning to Jointly Understand Visual and Tactile Signals Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik

AAAI 2024 Neural Amortized Inference for Nested Multi-Agent Reasoning Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu

NeurIPS 2024 Physically Compatible 3D Object Modeling from a Single Image Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik

ICML 2024 Potential Based Diffusion Motion Planning Yunhao Luo, Chen Sun, Joshua B. Tenenbaum, Yilun Du

ICLR 2024 Probabilistic Adaptation of Black-Box Text-to-Video Models Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel

TMLR 2024 Unsupervised 3D Scene Representation Learning via Movable Object Inference Honglin Chen, Wanhee Lee, Hong-Xing Yu, Rahul Mysore Venkatesh, Joshua B. Tenenbaum, Daniel Bear, Jiajun Wu, Daniel LK Yamins

ICLR 2024 Video Language Planning Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson

CVPR 2023 3D Concept Learning and Reasoning from Multi-View Images Yining Hong, Chunru Lin, Yilun Du, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan

ICCV 2023 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6d Pose Estimation Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka

CVPRW 2023 3D-IntPhys: Towards More Generalized 3D-Grounded Visual Intuitive Physics Under Challenging Scenes Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung

CVPR 2023 Are Deep Neural Networks SMARTer than Second Graders? Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum

TMLR 2023 Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Johan Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew Kyle Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cesar Ferri, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Christopher Waites, Christian Voigt, Christopher D Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, C. Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germàn Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Xinyue Wang, Gonzalo Jaimovitch-Lopez, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Francis Anthony Shevlin, Hinrich Schuetze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh Dhole, Kevin Gimpel, Kevin Omondi, Kory Wallace Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros-Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje Ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ramirez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael Andrew Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan Andrew Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter W Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan Le Bras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Russ Salakhutdinov, Ryan Andrew Chi, Seungjae Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel Stern Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima Shammie Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven Piantadosi, Stuart Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsunori Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Venkatesh Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Sophie Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu

ICMLW 2023 Building Community Driven Libraries of Natural Programs Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins, Joshua B. Tenenbaum, Armando Solar-Lezama

ICLR 2023 Composing Ensembles of Pre-Trained Models via Iterative Consensus Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch

CoRL 2023 Compositional Diffusion-Based Continuous Constraint Solvers Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

ICLR 2023 DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

NeurIPSW 2023 How to Guess a Gradient Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A Poggio, Stella X. Yu

ICML 2023 Inferring Relational Potentials in Interacting Systems Armand Comas, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia Camps

ICMLW 2023 Inferring the Future by Imagining the past Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Joshua B. Tenenbaum

ICMLW 2023 Inferring the Goals of Communicating Agents from Actions and Instructions Lance Ying, Tan Zhi-Xuan, Vikash Mansinghka, Joshua B. Tenenbaum

ICLR 2023 Is Conditional Generative Modeling All You Need for Decision Making? Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal

NeurIPSW 2023 Learning Interpretable Libraries by Compressing and Documenting Code Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas

ICML 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik

AAAI 2023 Learning Rational Subgoals from Demonstrations and Instructions Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

CoRL 2023 Learning Reusable Manipulation Strategies Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling

NeurIPSW 2023 MMToM-QA: Multimodal Theory of Mind Question Answering Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu

ICLR 2023 Neural Groundplans: Persistent Neural Scene Representations from a Single Image Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

ICMLW 2023 Neuro-Symbolic Models of Human Moral Judgment: LLMs as Automatic Feature Extractors Joe Kwon, Sydney Levine, Joshua B. Tenenbaum

ICML 2023 On the Complexity of Bayesian Generalization Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu

ICLR 2023 Planning with Large Language Models for Code Generation Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan

ICLR 2023 Planning with Sequence Models Through Iterative Energy Minimization Hongyi Chen, Yilun Du, Yiye Chen, Joshua B. Tenenbaum, Patricio A. Vela

AAAI 2023 Predicate Invention for Bilevel Planning Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum

ICML 2023 Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl

ICLR 2023 SoftZoo: A Soft Robot Co-Design Benchmark for Locomotion in Diverse Environments Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan

ICMLW 2023 The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs Lance Ying, Katherine M. Collins, Megan Wei, Cedegao E. Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B. Tenenbaum, Lionel Wong

ICCV 2023 Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba

TMLR 2023 Unsupervised Discovery and Composition of Object Light Fields Cameron Omid Smith, Hong-Xing Yu, Sergey Zakharov, Fredo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann

CVPR 2023 Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan

AAAI 2023 Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu

ICLR 2022 ComPhy: Compositional Physical Reasoning of Objects and Events from Videos Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

ECCV 2022 Compositional Visual Generation with Composable Diffusion Models Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum

ICLR 2022 Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan

ICLR 2022 DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan

ICLRW 2022 Discovering Generalizable Spatial Goal Representations via Graph-Based Active Reward Learning Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal

AAAI 2022 Discovering State and Action Abstractions for Generalized Task and Motion Planning Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

CoRL 2022 Embodied Concept Learner: Self-Supervised Learning of Concepts and Mapping Through Instruction Following Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan

ICLR 2022 FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic Descriptions, and Conceptual Relations Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum

CVPR 2022 Finding Fallen Objects via Asynchronous Audio-Visual Integration Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba

CVPR 2022 Fixing Malfunctional Objects with Learned Physical Simulation and Functional Prediction Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

ICLR 2022 Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth N, Samuel Gershman, Joshua B. Tenenbaum

NeurIPSW 2022 Is Conditional Generative Modeling All You Need for Decision-Making? Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal

CoRL 2022 Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

ICLR 2022 Linking Emergent and Natural Languages via Corpus Transfer Shunyu Yao, Mo Yu, Yang Zhang, Karthik R Narasimhan, Joshua B. Tenenbaum, Chuang Gan

AAAI 2022 MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks

NeurIPSW 2022 Planning with Large Language Models for Code Generation Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan

ICLR 2022 RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan

ECCV 2022 Unsupervised Segmentation in Real-World Images via Spelke Object Inference Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear

ICLR 2022 mAP Induction: Compositional Spatial Submap Learning for Efficient Exploration in Novel Environments Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R Fiete

AAAI 2021 Augmenting Policy Learning with Routines Discovered from a Single Demonstration Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum

NeurIPSW 2021 AutumnSynth: Synthesis of Reactive Programs with Structured Latent State Ria Das, Joshua B. Tenenbaum, Armando Solar-Lezama, Zenna Tavares

AAAI 2021 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez

ICLR 2021 Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan

ICLRW 2021 Improved Contrastive Divergence Training of Energy Based Models Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch

ICLR 2021 Learning Task Decomposition with Ordered Memory Policy Network Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B. Tenenbaum, Chuang Gan

ICLR 2021 Learning with AMIGo: Adversarially Motivated Intrinsic Goals Andres Campero, Roberta Raileanu, Heinrich Kuttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette

ICCV 2021 Neural Radiance Flow for 4D View Synthesis and Video Processing Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu

AAAI 2021 PHASE: PHysically-Grounded Abstract Social Events for Machine Social Perception Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum

AAAI 2021 Planning with Learned Object Importance in Large Problem Instances Using Graph Neural Networks Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling

ICLR 2021 PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan

ICLR 2021 Representing Partial Programs with Blended Abstract Semantics Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama

CoRL 2021 Single-Shot Scene Reconstruction Sergey Zakharov, Rares Andrei Ambrus, Vitor Campagnolo Guizilini, Dennis Park, Wadim Kehl, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon

IJCAI 2021 Temporal and Object Quantification Networks Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman

ICLR 2021 Unsupervised Discovery of 3D Physical Objects from Video Yilun Du, Kevin A. Smith, Tomer Ullman, Joshua B. Tenenbaum, Jiajun Wu

ICLR 2021 Watch-and-Help: A Challenge for Social Perception and Human-AI Collaboration Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba

ICLR 2020 CLEVRER: CoLlision Events for Video REpresentation and Reasoning Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum

NeurIPSW 2020 Causal Inductive Synthesis Corpus Zenna Tavares, Ria Das, Elizabeth Weeks, Kate Lin, Joshua B. Tenenbaum, Armando Solar-Lezama

ICLR 2020 Deep Audio Priors Emerge from Harmonic Convolutional Networks Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman

IJCAI 2020 DualSMC: Tunneling Differentiable Filtering and Planning Under Continuous POMDPs Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum

ECCV 2020 Foley Music: Learning to Generate Music from Videos Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba

NeurIPSW 2020 Measuring Few-Shot Extrapolation with Program Induction Ferran Alet, Javier Lopez-Contreras, Joshua B. Tenenbaum, Tomas Perez, Leslie Pack Kaelbling

NeurIPSW 2020 PHASE: PHysically-Grounded Abstract Social Events for Machine Social Perception Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum

NeurIPSW 2020 Representing Partial Programs with Blended Abstract Semantics Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama

ECCV 2020 Rethinking Few-Shot Image Classification: A Good Embedding Is All You Need? Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola

ICLR 2019 Reasoning About Physical Interactions with Object-Oriented Prediction and Planning Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu

IJCAI 2019 Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum

ICLR 2019 GAN Dissection: Visualizing and Understanding Generative Adversarial Networks David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

ICLR 2019 Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba

ICLR 2019 Learning to Describe Scenes with Programs Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ICLR 2019 Learning to Infer and Execute 3D Shape Programs Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ICLR 2019 Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun, Per Karlsson, Jiajun Wu, Joshua B Tenenbaum, Kevin Murphy

ICLR 2019 The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences from Natural Supervision Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu

AAAI 2019 Theory of Minds: Understanding Behavior in Groups Through Inverse Planning Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum

ICLR 2019 Unsupervised Discovery of Parts, Structure, and Dynamics Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ICLRW 2019 Visualizing and Understanding GANs David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba

CVPRW 2018 Inverting Audio-Visual Simulation for Shape and Material Perception Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, Joshua B. Tenenbaum, William T. Freeman

ECCV 2018 Learning Shape Priors for Single-View 3D Completion and Reconstruction Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum

ICLR 2018 Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel

ECCV 2018 Physical Primitive Decomposition Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

ECCV 2018 Seeing Tree Structure from Vibration Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman

UAI 2018 The Variational Homoencoder: Learning to Learn High Capacity Generative Models from Few Examples Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum

UAI 2018 Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks David Zheng, Vinson Luo, Jiajun Wu, Joshua B. Tenenbaum

ICLR 2017 A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum

ICCV 2017 Generative Modeling of Audible Shapes for Object Perception Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, James Traer, Josh H. McDermott, Joshua B. Tenenbaum, William T. Freeman

CVPR 2017 Neural Scene De-Rendering Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli

CVPR 2017 Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D. Kulkarni, Joshua B. Tenenbaum

JMLR 2016 CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum

AAAI 2016 Modeling Human Ad Hoc Coordination Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum

AAAI 2016 Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model Ryo Nakahashi, Chris L. Baker, Joshua B. Tenenbaum

ECCV 2016 Single Image 3D Interpreter Network Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman

CVPR 2015 Picture: A Probabilistic Programming Language for Scene Perception Tejas D. Kulkarni, Pushmeet Kohli, Joshua B. Tenenbaum, Vikash Mansinghka

AAAI 2014 Automatic Construction and Natural-Language Description of Nonparametric Regression Models James Robert Lloyd, David Duvenaud, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani

IJCAI 2013 Bootstrap Learning via Modular Concept Discovery Eyal Dechter, Jonathan Malmaud, Ryan P. Adams, Joshua B. Tenenbaum

UAI 2012 Exploiting Compositionality to Explore a Large Space of Model Structures Roger B. Grosse, Ruslan Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum

IJCAI 2011 Bayesian Policy Search with Policy Priors David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum

ICML 2011 Infinite Dynamic Bayesian Networks Finale Doshi, David Wingate, Joshua B. Tenenbaum, Nicholas Roy

NeurIPS 2011 Learning to Learn with Compound HD Models Antonio Torralba, Joshua B. Tenenbaum, Ruslan Salakhutdinov

CVPR 2011 Learning to Share Visual Appearance for Multiclass Object Detection Ruslan Salakhutdinov, Antonio Torralba, Joshua B. Tenenbaum

NeurIPS 2010 Dynamic Infinite Relational Model for Time-Varying Relational Data Analysis Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Joshua B. Tenenbaum

NeurIPS 2010 Nonparametric Bayesian Policy Priors for Reinforcement Learning Finale Doshi-velez, David Wingate, Nicholas Roy, Joshua B. Tenenbaum

NeurIPS 2009 Explaining Human Multiple Object Tracking as Resource-Constrained Approximate Inference in a Dynamic Probabilistic Model Ed Vul, George Alvarez, Joshua B. Tenenbaum, Michael J. Black

NeurIPS 2009 Help or Hinder: Bayesian Models of Social Goal Inference Tomer Ullman, Chris Baker, Owen Macindoe, Owain Evans, Noah Goodman, Joshua B. Tenenbaum

NeurIPS 2009 Modelling Relational Data Using Bayesian Clustered Tensor Factorization Ilya Sutskever, Joshua B. Tenenbaum, Ruslan Salakhutdinov

NeurIPS 2009 Perceptual Multistability as Markov Chain Monte Carlo Inference Samuel Gershman, Ed Vul, Joshua B. Tenenbaum

UAI 2009 The Infinite Latent Events Model David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum

UAI 2008 Church: A Language for Generative Models Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Kallista A. Bonawitz, Joshua B. Tenenbaum

NeurIPS 2007 A Bayesian Framework for Cross-Situational Word-Learning Noah Goodman, Joshua B. Tenenbaum, Michael J. Black

NeurIPS 2007 Learning and Using Relational Theories Charles Kemp, Noah Goodman, Joshua B. Tenenbaum

NeurIPS 2006 Causal Inference in Sensorimotor Integration Konrad P. Körding, Joshua B. Tenenbaum

NeurIPS 2006 Combining Causal and Similarity-Based Reasoning Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum

NeurIPS 2006 Learning Annotated Hierarchies from Relational Data Daniel M. Roy, Charles Kemp, Vikash K. Mansinghka, Joshua B. Tenenbaum

AAAI 2006 Learning Systems of Concepts with an Infinite Relational Model Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda

NeurIPS 2006 Multiple Timescales and Uncertainty in Motor Adaptation Konrad P. Körding, Joshua B. Tenenbaum, Reza Shadmehr

UAI 2006 Structured Priors for Structure Learning Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum

NeurIPS 2005 Bayesian Models of Human Action Understanding Chris Baker, Rebecca Saxe, Joshua B. Tenenbaum

NeurIPS 2004 Integrating Topics and Syntax Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum

NeurIPS 2004 Parametric Embedding for Class Visualization Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum

NeurIPS 2003 From Algorithmic to Subjective Randomness Thomas L. Griffiths, Joshua B. Tenenbaum

NeurIPS 2003 Hierarchical Topic Models and the Nested Chinese Restaurant Process Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum, David M. Blei

NeurIPS 2003 Semi-Supervised Learning with Trees Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum

NeurIPS 2002 Bayesian Models of Inductive Generalization Neville E. Sanjana, Joshua B. Tenenbaum

NeurIPS 2002 Dynamical Causal Learning David Danks, Thomas L. Griffiths, Joshua B. Tenenbaum

NeurIPS 2002 Global Versus Local Methods in Nonlinear Dimensionality Reduction Vin D. Silva, Joshua B. Tenenbaum

NeurIPS 2002 Theory-Based Causal Inference Joshua B. Tenenbaum, Thomas L. Griffiths

NeurIPS 2001 Using Vocabulary Knowledge in Bayesian Multinomial Estimation Thomas L. Griffiths, Joshua B. Tenenbaum

NeCo 2000 Separating Style and Content with Bilinear Models Joshua B. Tenenbaum, William T. Freeman

NeurIPS 2000 Structure Learning in Human Causal Induction Joshua B. Tenenbaum, Thomas L. Griffiths

NeurIPS 1999 Rules and Similarity in Concept Learning Joshua B. Tenenbaum

NeurIPS 1998 Bayesian Modeling of Human Concept Learning Joshua B. Tenenbaum

CVPR 1997 Learning Bilinear Models for Two-Factor Problems in Vision William T. Freeman, Joshua B. Tenenbaum

NeurIPS 1997 Mapping a Manifold of Perceptual Observations Joshua B. Tenenbaum

NeurIPS 1996 Separating Style and Content Joshua B. Tenenbaum, William T. Freeman

NeurIPS 1995 Learning the Structure of Similarity Joshua B. Tenenbaum

NeurIPS 1994 Factorial Learning by Clustering Features Joshua B. Tenenbaum, Emanuel V. Todorov