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ORCIDJoshua B. Tenenbaum
Josh Tenenbaum 0001
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- affiliation: Massachusetts Institute of Technology (MIT), Department of Brain and Cognitive Sciences, Cambridge, MA, USA
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2020 – today
- 2025
[c461]Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, João F. Henriques, Kevin Ellis:
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. ICLR 2025- [c460]Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf:
Can Large Language Models Understand Symbolic Graphics Programs? ICLR 2025 - [c459]Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch:
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. ICLR 2025 - [c458]Yudi Xie, Weichen Huang, Esther Alter, Jeremy Schwartz, Joshua B. Tenenbaum, James J. DiCarlo:
Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations. ICLR 2025 - [i303]Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch:
Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. CoRR abs/2501.05707 (2025) - [i302]Hyunwoo Kim, Melanie Sclar, Tan Zhi-Xuan, Lance Ying, Sydney Levine, Yang Liu, Joshua B. Tenenbaum, Yejin Choi:
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models. CoRR abs/2502.11881 (2025) - [i301]Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz:
Testing the limits of fine-tuning to improve reasoning in vision language models. CoRR abs/2502.15678 (2025) - [i300]Lance Ying, Katherine M. Collins, Lionel Wong, Ilia Sucholutsky, Ryan Liu, Adrian Weller, Tianmin Shu, Thomas L. Griffiths, Joshua B. Tenenbaum:
On Benchmarking Human-Like Intelligence in Machines. CoRR abs/2502.20502 (2025) - [i299]Zergham Ahmed, Joshua B. Tenenbaum, Christopher Bates, Samuel J. Gershman:
Synthesizing world models for bilevel planning. CoRR abs/2503.20124 (2025) - 2024
- [j39]Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner:
When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data. Auton. Agents Multi Agent Syst. 38(2): 35 (2024) - [j38]Skylar Sutherland, Bernhard Egger
, Joshua B. Tenenbaum:
Building 3D Generative Models from Minimal Data. Int. J. Comput. Vis. 132(2): 555-580 (2024) - [j37]Marta Kryven, Suhyoun Yu, Max Kleiman-Weiner, Tomer D. Ullman, Joshua B. Tenenbaum:
Approximate planning in spatial search. PLoS Comput. Biol. 20(11): 1012582 (2024) - [j36]Honglin Chen, Wanhee Lee, Hong-Xing Yu, Rahul Mysore Venkatesh, Joshua B. Tenenbaum, Daniel Bear, Jiajun Wu, Daniel L. K. Yamins:
Unsupervised 3D Scene Representation Learning via Movable Object Inference. Trans. Mach. Learn. Res. 2024 (2024) - [c457]Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu:
Neural Amortized Inference for Nested Multi-Agent Reasoning. AAAI 2024: 530-537 - [c456]Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz:
Generalized Planning in PDDL Domains with Pretrained Large Language Models. AAAI 2024: 20256-20264 - [c455]Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. ACL (1) 2024: 16077-16102 - [c454]Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum:
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning. AAMAS 2024: 2094-2103 - [c453]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:
Video Language Planning. ICLR 2024 - [c452]Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas:
LILO: Learning Interpretable Libraries by Compressing and Documenting Code. ICLR 2024 - [c451]Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum:
Learning to Act from Actionless Videos through Dense Correspondences. ICLR 2024 - [c450]Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik:
Learning to Jointly Understand Visual and Tactile Signals. ICLR 2024 - [c449]Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas:
Learning Grounded Action Abstractions from Language. ICLR 2024 - [c448]Sherry Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel:
Probabilistic Adaptation of Black-Box Text-to-Video Models. ICLR 2024 - [c447]Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan:
Building Cooperative Embodied Agents Modularly with Large Language Models. ICLR 2024 - [c446]Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan:
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments. ICLR 2024 - [c445]Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch:
Improving Factuality and Reasoning in Language Models through Multiagent Debate. ICML 2024 - [c444]Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum:
Learning Iterative Reasoning through Energy Diffusion. ICML 2024 - [c443]Yunhao Luo, Chen Sun, Joshua B. Tenenbaum, Yilun Du:
Potential Based Diffusion Motion Planning. ICML 2024 - [c442]Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik:
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. ICML 2024 - [c441]Jocelin Su, Nan Liu, Yanbo Wang, Joshua B. Tenenbaum, Yilun Du:
Compositional Image Decomposition with Diffusion Models. ICML 2024 - [c440]Zhicheng Zheng, Xin Yan, Zhenfang Chen, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, Chuang Gan:
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos. ICML 2024 - [c439]Qiao Gu, Ali Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. ICRA 2024: 5021-5028 - [c438]Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum:
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. ICRA 2024: 13876-13882 - [c437]Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu:
GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. IROS 2024: 7099-7106 - [c436]Vincent van der Brugge, Marc Pollefeys, Joshua B. Tenenbaum, Krishna Murthy Jatavallabhula, Ayush Tewari:
PickScan: Object discovery and reconstruction from handheld interactions. IROS 2024: 10167-10173 - [c435]Tyler Bonnen, Stephanie Fu, Yutong Bai, Thomas P. O'Connell, Yoni Friedman, Nancy Kanwisher, Josh Tenenbaum, Alexei A. Efros:
Evaluating Multiview Object Consistency in Humans and Image Models. NeurIPS 2024 - [c434]Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin A. Smith, Josh Tenenbaum:
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads. NeurIPS 2024 - [c433]Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Josh Tenenbaum, Kaiming He, Wojciech Matusik:
Physically Compatible 3D Object Modeling from a Single Image. NeurIPS 2024 - [c432]Aviv Netanyahu, Yilun Du, Antonia Bronars, Jyothish Pari, Josh Tenenbaum, Tianmin Shu, Pulkit Agrawal:
Few-Shot Task Learning through Inverse Generative Modeling. NeurIPS 2024 - [c431]Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. Robotics: Science and Systems 2024 - [c430]Matthew Caren, Kartik Chandra, Joshua B. Tenenbaum, Jonathan Ragan-Kelley, Karima Ma:
Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation. SIGGRAPH Asia 2024: 136:1-136:11 - [i298]Benjamin Peters, James J. DiCarlo, Todd M. Gureckis, Ralf Haefner, Leyla Isik, Joshua B. Tenenbaum, Talia Konkle, Thomas Naselaris, Kimberly L. Stachenfeld, Zenna Tavares, Doris Tsao, Ilker Yildirim, Nikolaus Kriegeskorte:
How does the primate brain combine generative and discriminative computations in vision? CoRR abs/2401.06005 (2024) - [i297]Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu:
MMToM-QA: Multimodal Theory of Mind Question Answering. CoRR abs/2401.08743 (2024) - [i296]Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan:
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments. CoRR abs/2401.12975 (2024) - [i295]Zhicheng Zheng, Xin Yan, Zhenfang Chen, Jingzhou Wang, Qin Zhi Eddie Lim, Joshua B. Tenenbaum, Chuang Gan:
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos. CoRR abs/2402.06119 (2024) - [i294]Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum:
Grounding Language about Belief in a Bayesian Theory-of-Mind. CoRR abs/2402.10416 (2024) - [i293]Tan Zhi-Xuan, Lance Ying, Vikash Mansinghka, Joshua B. Tenenbaum:
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning. CoRR abs/2402.17930 (2024) - [i292]Gabriel Grand, Valerio Pepe, Jacob Andreas, Joshua B. Tenenbaum:
Loose LIPS Sink Ships: Asking Questions in Battleship with Language-Informed Program Sampling. CoRR abs/2402.19471 (2024) - [i291]Kartik Chandra, Tzu-Mao Li, Rachit Nigam, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
WatChat: Explaining perplexing programs by debugging mental models. CoRR abs/2403.05334 (2024) - [i290]Aidan Curtis, George Matheos, Nishad Gothoskar, Vikash Mansinghka, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Partially Observable Task and Motion Planning with Uncertainty and Risk Awareness. CoRR abs/2403.10454 (2024) - [i289]Lance Ying, Kunal Jha, Shivam Aarya, Joshua B. Tenenbaum, Antonio Torralba, Tianmin Shu:
GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment. CoRR abs/2403.11075 (2024) - [i288]David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark W. Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette M. Wing, Joshua B. Tenenbaum:
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems. CoRR abs/2405.06624 (2024) - [i287]Guangyuan Jiang, Matthias Hofer, Jiayuan Mao, Lionel Wong, Joshua B. Tenenbaum, Roger P. Levy:
Finding structure in logographic writing with library learning. CoRR abs/2405.06906 (2024) - [i286]Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin, Unnathi Kumar, Setayesh Radkani, Thomas Hikaru Clark, Carina Kauf, Jennifer Hu, R. T. Pramod, Gabriel Grand, Vivian C. Paulun, Maria Ryskina, Ekin Akyürek, Ethan Wilcox, Nafisa Rashid, Leshem Choshen, Roger Levy, Evelina Fedorenko, Joshua B. Tenenbaum, Jacob Andreas:
Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models. CoRR abs/2405.09605 (2024) - [i285]Bo Wu, Shoubin Yu, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan:
STAR: A Benchmark for Situated Reasoning in Real-World Videos. CoRR abs/2405.09711 (2024) - [i284]Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik:
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. CoRR abs/2405.09783 (2024) - [i283]Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik:
Physically Compatible 3D Object Modeling from a Single Image. CoRR abs/2405.20510 (2024) - [i282]Ilia Sucholutsky, Katherine M. Collins, Maya Malaviya, Nori Jacoby, Weiyang Liu, Theodore R. Sumers, Michalis Korakakis, Umang Bhatt, Mark K. Ho, Joshua B. Tenenbaum, Bradley C. Love, Zachary A. Pardos, Adrian Weller, Thomas L. Griffiths:
Representational Alignment Supports Effective Machine Teaching. CoRR abs/2406.04302 (2024) - [i281]Yilun Du, Jiayuan Mao, Joshua B. Tenenbaum:
Learning Iterative Reasoning through Energy Diffusion. CoRR abs/2406.11179 (2024) - [i280]Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin Smith, Joshua B. Tenenbaum:
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads. CoRR abs/2406.15736 (2024) - [i279]Jocelin Su, Nan Liu, Yanbo Wang, Joshua B. Tenenbaum, Yilun Du:
Compositional Image Decomposition with Diffusion Models. CoRR abs/2406.19298 (2024) - [i278]Yunhao Luo, Chen Sun, Joshua B. Tenenbaum, Yilun Du:
Potential Based Diffusion Motion Planning. CoRR abs/2407.06169 (2024) - [i277]Cedegao E. Zhang, Katherine M. Collins, Lionel Wong, Adrian Weller, Joshua B. Tenenbaum:
People use fast, goal-directed simulation to reason about novel games. CoRR abs/2407.14095 (2024) - [i276]Tan Zhi-Xuan, Gloria Kang, Vikash Mansinghka, Joshua B. Tenenbaum:
Infinite Ends from Finite Samples: Open-Ended Goal Inference as Top-Down Bayesian Filtering of Bottom-Up Proposals. CoRR abs/2407.16770 (2024) - [i275]Zhenfang Chen, Shilong Dong, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Compositional Physical Reasoning of Objects and Events from Videos. CoRR abs/2408.02687 (2024) - [i274]Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E. Zhang, Tan Zhi-Xuan, Mark K. Ho, Vikash Mansinghka, Adrian Weller, Joshua B. Tenenbaum, Thomas L. Griffiths:
Building Machines that Learn and Think with People. CoRR abs/2408.03943 (2024) - [i273]Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schölkopf:
Can Large Language Models Understand Symbolic Graphics Programs? CoRR abs/2408.08313 (2024) - [i272]Lance Ying, Tan Zhi-Xuan, Lionel Wong, Vikash Mansinghka, Joshua B. Tenenbaum:
Understanding Epistemic Language with a Bayesian Theory of Mind. CoRR abs/2408.12022 (2024) - [i271]Tyler Bonnen, Stephanie Fu, Yutong Bai, Thomas P. O'Connell, Yoni Friedman, Nancy Kanwisher, Joshua B. Tenenbaum, Alexei A. Efros:
Evaluating Multiview Object Consistency in Humans and Image Models. CoRR abs/2409.05862 (2024) - [i270]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Noah D. Goodman, Jiajun Wu:
What Makes a Maze Look Like a Maze? CoRR abs/2409.08202 (2024) - [i269]Lance Ying, Jason Xinyu Liu, Shivam Aarya, Yizirui Fang, Stefanie Tellex, Joshua B. Tenenbaum, Tianmin Shu:
SIFToM: Robust Spoken Instruction Following through Theory of Mind. CoRR abs/2409.10849 (2024) - [i268]Matthew Caren, Kartik Chandra, Joshua B. Tenenbaum, Jonathan Ragan-Kelley, Karima Ma:
Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal Imitation. CoRR abs/2409.13507 (2024) - [i267]Morris Yau, Ekin Akyürek, Jiayuan Mao, Joshua B. Tenenbaum, Stefanie Jegelka, Jacob Andreas:
Learning Linear Attention in Polynomial Time. CoRR abs/2410.10101 (2024) - [i266]Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, João F. Henriques, Kevin Ellis:
VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. CoRR abs/2410.23156 (2024) - [i265]Xiaolin Fang, Bo-Ruei Huang, Jiayuan Mao, Jasmine Shone, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Keypoint Abstraction using Large Models for Object-Relative Imitation Learning. CoRR abs/2410.23254 (2024) - [i264]Aviv Netanyahu, Yilun Du, Antonia Bronars, Jyothish Pari, Joshua B. Tenenbaum, Tianmin Shu, Pulkit Agrawal:
Few-Shot Task Learning through Inverse Generative Modeling. CoRR abs/2411.04987 (2024) - [i263]Yuyao Liu, Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
One-Shot Manipulation Strategy Learning by Making Contact Analogies. CoRR abs/2411.09627 (2024) - [i262]Vincent van der Brugge, Marc Pollefeys, Joshua B. Tenenbaum, Ayush Tewari, Krishna Murthy Jatavallabhula:
PickScan: Object discovery and reconstruction from handheld interactions. CoRR abs/2411.11196 (2024) - [i261]Yudi Xie, Weichen Huang, Esther Alter, Jeremy Schwartz, Joshua B. Tenenbaum, James J. DiCarlo:
Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations. CoRR abs/2412.09115 (2024) - [i260]Ferran Alet, Clement Gehring, Tomás Lozano-Pérez, Kenji Kawaguchi, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Functional Risk Minimization. CoRR abs/2412.21149 (2024) - 2023
- [j35]Matthew Bowers, Theo X. Olausson, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama:
Top-Down Synthesis for Library Learning. Proc. ACM Program. Lang. 7(POPL): 1182-1213 (2023) - [j34]Ria Das, Joshua B. Tenenbaum, Armando Solar-Lezama, Zenna Tavares:
Combining Functional and Automata Synthesis to Discover Causal Reactive Programs. Proc. ACM Program. Lang. 7(POPL): 1628-1658 (2023) - [j33]Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann:
Unsupervised Discovery and Composition of Object Light Fields. Trans. Mach. Learn. Res. 2023 (2023) - [j32]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 Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. 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 Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej 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, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris 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, 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 J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, 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 H. 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, José Hernández-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 D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. 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, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, 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 A. 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 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 Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, 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 LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, 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 S. 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 T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu 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 V. 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, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [j31]Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
Storytelling as Inverse Inverse Planning. Top. Cogn. Sci. 16(1): 54-70 (2023) - [c429]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs. AAAI 2023: 94-101 - [c428]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. AAAI 2023: 12068-12078 - [c427]Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Predicate Invention for Bilevel Planning. AAAI 2023: 12120-12129 - [c426]Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley:
Storytelling as Inverse Inverse Planning. CogSci 2023 - [c425]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 - [c424]Samuel J. Cheyette, Frederick Callaway, Neil R. Bramley, Jonathan D. Nelson, Josh Tenenbaum:
People seek easily interpretable information. CogSci 2023 - [c423]Nicole Coates, Max H. Siegel, Josh Tenenbaum, Laura Schulz:
Representations of Abstract Relations in Early Childhood. CogSci 2023 - [c422]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 - [c421]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 - [c420]Benjamin Lipkin, Lionel Wong, Gabriel Grand, Josh Tenenbaum:
Evaluating statistical language models as pragmatic reasoners. CogSci 2023 - [c419]Tracey Mills, Cedegao Zhang, Tony Chen, Josh Tenenbaum:
Towards a model of confidence judgements in concept learning. CogSci 2023 - [c418]Thomas Ngo, Samuel J. Cheyette, Josh Tenenbaum, Kevin A. Smith:
Strategy choice for physical reasoning is (partially) sensitive to cognitive costs. CogSci 2023 - [c417]Cedegao Zhang, Lionel Wong, Gabriel Grand, Josh Tenenbaum:
Grounded physical language understanding with probabilistic programs and simulated worlds. CogSci 2023 - [c416]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 - [c415]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Reusable Manipulation Strategies. CoRL 2023: 1467-1483 - [c414]Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. CoRL 2023: 3242-3265 - [c413]Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CVPR Workshops 2023: 3625-3635 - [c412]Yining Hong, Chunru Lin, Yilun Du, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan:
3D Concept Learning and Reasoning from Multi-View Images. CVPR 2023: 9202-9212 - [c411]Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum:
Are Deep Neural Networks SMARTer Than Second Graders? CVPR 2023: 10834-10844 - [c410]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CVPR 2023: 14528-14539 - [c409]Theo Olausson, Alex Gu, Benjamin Lipkin, Cedegao E. Zhang, Armando Solar-Lezama, Joshua B. Tenenbaum, Roger Levy:
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers. EMNLP 2023: 5153-5176 - [c408]Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba:
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. ICCV 2023: 2085-2095 - [c407]Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka:
3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation. ICCV 2023: 21568-21579 - [c406]Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal:
Is Conditional Generative Modeling all you need for Decision Making? ICLR 2023 - [c405]Hongyi Chen, Yilun Du, Yiye Chen, Joshua B. Tenenbaum, Patricio A. Vela:
Planning with Sequence Models through Iterative Energy Minimization. ICLR 2023 - [c404]Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch:
Composing Ensembles of Pre-trained Models via Iterative Consensus. ICLR 2023 - [c403]Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. ICLR 2023 - [c402]Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR 2023 - [c401]Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan:
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. ICLR 2023 - [c400]Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan:
Planning with Large Language Models for Code Generation. ICLR 2023 - [c399]Armand Comas Massague, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia I. Camps:
Inferring Relational Potentials in Interacting Systems. ICML 2023: 6364-6383 - [c398]Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl:
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. ICML 2023: 8489-8510 - [c397]Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik:
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics. ICML 2023: 23279-23300 - [c396]Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu:
On the Complexity of Bayesian Generalization. ICML 2023: 31389-31407 - [c395]Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum:
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. ICRA 2023: 7272-7278 - [c394]Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. ICRA 2023: 7628-7634 - [c393]Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi S. Jaakkola, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Akash Srivastava, Pulkit Agrawal:
Compositional Foundation Models for Hierarchical Planning. NeurIPS 2023 - [c392]Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum:
Inferring the Future by Imagining the Past. NeurIPS 2023 - [c391]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 - [c390]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
What's Left? Concept Grounding with Logic-Enhanced Foundation Models. NeurIPS 2023 - [c389]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
What Planning Problems Can A Relational Neural Network Solve? NeurIPS 2023 - [c388]Tracey Mills, Josh Tenenbaum, Samuel J. Cheyette:
Human spatiotemporal pattern learning as probabilistic program synthesis. NeurIPS 2023 - [c387]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 - [c386]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 - [c385]Tsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua B. Tenenbaum, Chuang Gan, Daniela Rus:
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. NeurIPS 2023 - [c384]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 - [c383]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects. Robotics: Science and Systems 2023 - [c382]Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Ganesh Iyer, Soroush Saryazdi, Tao Chen, Alaa Maalouf, Shuang Li, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba:
ConceptFusion: Open-set multimodal 3D mapping. Robotics: Science and Systems 2023 - [c381]Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum:
Tactile-Filter: Interactive Tactile Perception for Part Mating. Robotics: Science and Systems 2023 - [c380]Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
Acting as Inverse Inverse Planning. SIGGRAPH (Conference Paper Track) 2023: 7:1-7:12 - [d1]Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN Pre-trained Model. Zenodo, 2023
- [i259]Ilker Yildirim, Max H. Siegel, Amir Arsalan Soltani, Shraman Ray Chaudhari, Joshua B. Tenenbaum:
3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis. CoRR abs/2301.03711 (2023) - [i258]Xavier Puig, Tianmin Shu, Joshua B. Tenenbaum, Antonio Torralba:
NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants. CoRR abs/2301.05223 (2023) - [i257]Kyle Mahowald, Anna A. Ivanova, Idan Asher Blank, Nancy Kanwisher, Joshua B. Tenenbaum, Evelina Fedorenko:
Dissociating language and thought in large language models: a cognitive perspective. CoRR abs/2301.06627 (2023) - [i256]Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel:
Learning Universal Policies via Text-Guided Video Generation. CoRR abs/2302.00111 (2023) - [i255]Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka:
3D Neural Embedding Likelihood for Robust Sim-to-Real Transfer in Inverse Graphics. CoRR abs/2302.03744 (2023) - [i254]Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu, Mohd. Omama, Tao Chen, Shuang Li, Ganesh Iyer, Soroush Saryazdi, Nikhil Varma Keetha, Ayush Tewari, Joshua B. Tenenbaum, Celso Miguel de Melo, K. Madhava Krishna, Liam Paull, Florian Shkurti, Antonio Torralba:
ConceptFusion: Open-set Multimodal 3D Mapping. CoRR abs/2302.07241 (2023) - [i253]Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl:
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC. CoRR abs/2302.11552 (2023) - [i252]Zhezheng Luo, Jiayuan Mao, Jiajun Wu, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
Learning Rational Subgoals from Demonstrations and Instructions. CoRR abs/2303.05487 (2023) - [i251]Zhezheng Luo, Jiayuan Mao, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
On the Expressiveness and Generalization of Hypergraph Neural Networks. CoRR abs/2303.05490 (2023) - [i250]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
PDSketch: Integrated Planning Domain Programming and Learning. CoRR abs/2303.05501 (2023) - [i249]Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan:
Planning with Large Language Models for Code Generation. CoRR abs/2303.05510 (2023) - [i248]Kei Ota, Devesh K. Jha, Hsiao-Yu Tung, Joshua B. Tenenbaum:
Tactile-Filter: Interactive Tactile Perception for Part Mating. CoRR abs/2303.06034 (2023) - [i247]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects. CoRR abs/2303.07308 (2023) - [i246]Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan:
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. CoRR abs/2303.09555 (2023) - [i245]Yining Hong, Chunru Lin, Yilun Du, Zhenfang Chen, Joshua B. Tenenbaum, Chuang Gan:
3D Concept Learning and Reasoning from Multi-View Images. CoRR abs/2303.11327 (2023) - [i244]Hongyi Chen, Yilun Du, Yiye Chen, Joshua B. Tenenbaum, Patricio A. Vela:
Planning with Sequence Models through Iterative Energy Minimization. CoRR abs/2303.16189 (2023) - [i243]Sizhe Li, Zhiao Huang, Tao Chen, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. CoRR abs/2304.03223 (2023) - [i242]Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CoRR abs/2304.03282 (2023) - [i241]Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following. CoRR abs/2304.03767 (2023) - [i240]Haotian Xue, Antonio Torralba, Joshua B. Tenenbaum, Daniel L. K. Yamins, Yunzhu Li, Hsiao-Yu Tung:
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. CoRR abs/2304.11470 (2023) - [i239]Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik:
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics. CoRR abs/2304.14369 (2023) - [i238]Benjamin Lipkin, Lionel Wong, Gabriel Grand, Joshua B. Tenenbaum:
Evaluating statistical language models as pragmatic reasoners. CoRR abs/2305.01020 (2023) - [i237]Tom Silver, Soham Dan, Kavitha Srinivas, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Michael Katz:
Generalized Planning in PDDL Domains with Pretrained Large Language Models. CoRR abs/2305.11014 (2023) - [i236]Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch:
Improving Factuality and Reasoning in Language Models through Multiagent Debate. CoRR abs/2305.14325 (2023) - [i235]Kartik Chandra, Tzu-Mao Li, Josh Tenenbaum, Jonathan Ragan-Kelley:
Acting as Inverse Inverse Planning. CoRR abs/2305.16913 (2023) - [i234]Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Joshua B. Tenenbaum:
Inferring the Future by Imagining the Past. CoRR abs/2305.17195 (2023) - [i233]Katherine M. Collins, Albert Q. Jiang, Simon Frieder, Lionel Wong, Miri Zilka, Umang Bhatt, Thomas Lukasiewicz, Yuhuai Wu, Joshua B. Tenenbaum, William Hart, Timothy Gowers, Wenda Li, Adrian Weller, Mateja Jamnik:
Evaluating Language Models for Mathematics through Interactions. CoRR abs/2306.01694 (2023) - [i232]Mengjiao Yang, Yilun Du, Bo Dai, Dale Schuurmans, Joshua B. Tenenbaum, Pieter Abbeel:
Probabilistic Adaptation of Text-to-Video Models. CoRR abs/2306.01872 (2023) - [i231]Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba:
Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. CoRR abs/2306.05357 (2023) - [i230]Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Joshua B. Tenenbaum, Frédo Durand, William T. Freeman, Vincent Sitzmann:
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision. CoRR abs/2306.11719 (2023) - [i229]Lionel Wong, Gabriel Grand, Alexander K. Lew, Noah D. Goodman, Vikash K. Mansinghka, Jacob Andreas, Joshua B. Tenenbaum:
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thought. CoRR abs/2306.12672 (2023) - [i228]Lance Ying, Katherine M. Collins, Megan Wei, Cedegao E. Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B. Tenenbaum, Lionel Wong:
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs. CoRR abs/2306.14325 (2023) - [i227]Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan, Kevin A. Smith:
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. CoRR abs/2306.15668 (2023) - [i226]Lance Ying, Tan Zhi-Xuan, Vikash Mansinghka, Joshua B. Tenenbaum:
Inferring the Goals of Communicating Agents from Actions and Instructions. CoRR abs/2306.16207 (2023) - [i225]Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B. Tenenbaum, Tianmin Shu, Chuang Gan:
Building Cooperative Embodied Agents Modularly with Large Language Models. CoRR abs/2307.02485 (2023) - [i224]Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jon Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King:
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR abs/2307.07522 (2023) - [i223]Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu:
Neural Amortized Inference for Nested Multi-agent Reasoning. CoRR abs/2308.11071 (2023) - [i222]Thomas P. O'Connell, Tyler Bonnen, Yoni Friedman, Ayush Tewari, Joshua B. Tenenbaum, Vincent Sitzmann, Nancy Kanwisher:
Approaching human 3D shape perception with neurally mappable models. CoRR abs/2308.11300 (2023) - [i221]Zhutian Yang, Jiayuan Mao, Yilun Du, Jiajun Wu, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Compositional Diffusion-Based Continuous Constraint Solvers. CoRR abs/2309.00966 (2023) - [i220]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 abs/2309.08587 (2023) - [i219]Kei Ota, Devesh K. Jha, Krishna Murthy Jatavallabhula, Asako Kanezaki, Joshua B. Tenenbaum:
Tactile Estimation of Extrinsic Contact Patch for Stable Placement. CoRR abs/2309.14552 (2023) - [i218]Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. CoRR abs/2309.16650 (2023) - [i217]Yanming Wan, Jiayuan Mao, Joshua B. Tenenbaum:
HandMeThat: Human-Robot Communication in Physical and Social Environments. CoRR abs/2310.03779 (2023) - [i216]Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum:
Learning to Act from Actionless Videos through Dense Correspondences. CoRR abs/2310.08576 (2023) - [i215]Yilun Du, Mengjiao 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:
Video Language Planning. CoRR abs/2310.10625 (2023) - [i214]Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins, Joshua B. Tenenbaum, Armando Solar-Lezama:
Learning a Hierarchical Planner from Humans in Multiple Generations. CoRR abs/2310.11614 (2023) - [i213]Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths:
Getting aligned on representational alignment. CoRR abs/2310.13018 (2023) - [i212]Cedegao E. Zhang, Katherine M. Collins, Adrian Weller, Joshua B. Tenenbaum:
AI for Mathematics: A Cognitive Science Perspective. CoRR abs/2310.13021 (2023) - [i211]Armand Comas Massague, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia I. Camps:
Inferring Relational Potentials in Interacting Systems. CoRR abs/2310.14466 (2023) - [i210]Theo X. Olausson, Alex Gu, Benjamin Lipkin, Cedegao E. Zhang, Armando Solar-Lezama, Joshua B. Tenenbaum, Roger Levy:
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers. CoRR abs/2310.15164 (2023) - [i209]Joy Hsu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
What's Left? Concept Grounding with Logic-Enhanced Foundation Models. CoRR abs/2310.16035 (2023) - [i208]Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas:
LILO: Learning Interpretable Libraries by Compressing and Documenting Code. CoRR abs/2310.19791 (2023) - [i207]Jiayuan Mao, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Reusable Manipulation Strategies. CoRR abs/2311.03293 (2023) - [i206]Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua B. Tenenbaum, Chuang Gan, Daniela Rus:
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. CoRR abs/2311.17053 (2023) - [i205]Jiayuan Mao, Tomás Lozano-Pérez, Joshua B. Tenenbaum, Leslie Pack Kaelbling:
What Planning Problems Can A Relational Neural Network Solve? CoRR abs/2312.03682 (2023) - [i204]Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A. Poggio, Stella X. Yu:
How to guess a gradient. CoRR abs/2312.04709 (2023) - [i203]Lionel Wong, Jiayuan Mao, Pratyusha Sharma, Zachary S. Siegel, Jiahai Feng, Noa Korneev, Joshua B. Tenenbaum, Jacob Andreas:
Learning adaptive planning representations with natural language guidance. CoRR abs/2312.08566 (2023) - [i202]Nishad Gothoskar, Matin Ghavami, Eric Li, Aidan Curtis, Michael Noseworthy, Karen Chung, Brian Patton, William T. Freeman, Joshua B. Tenenbaum, Mirko Klukas, Vikash K. Mansinghka:
Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes. CoRR abs/2312.08715 (2023) - 2022
- [j30]Kenji Doya, Karl J. Friston, Masashi Sugiyama, Joshua B. Tenenbaum:
Neural Networks special issue on Artificial Intelligence and Brain Science. Neural Networks 155: 328-329 (2022) - [j29]Michael Henry Tessler, Joshua B. Tenenbaum, Noah D. Goodman:
Logic, Probability, and Pragmatics in Syllogistic Reasoning. Top. Cogn. Sci. 14(3): 574-601 (2022) - [c379]Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. AAAI 2022: 1962-1971 - [c378]Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Discovering State and Action Abstractions for Generalized Task and Motion Planning. AAAI 2022: 5377-5384 - [c377]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 - [c376]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 - [c375]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 - [c374]Michelle Simona Hung, Ashley J. Thomas, Setayesh Radkani, Josh Tenenbaum, Rebecca Saxe:
Modeling risky food sharing as rational communication about relationships. CogSci 2022 - [c373]Joseph Kwon, Josh Tenenbaum, Sydney Levine:
Flexibility in Moral Cognition: When is it okay to break the rules? CogSci 2022 - [c372]Vivian C. Paulun, Max H. Siegel, Josh Tenenbaum:
Joint online inference of material properties and object shape. CogSci 2022 - [c371]Setayesh Radkani, Josh Tenenbaum, Rebecca Saxe:
Modeling punishment as a rational communicative social action. CogSci 2022 - [c370]Joshua S. Rule, Steven T. Piantadosi, Josh Tenenbaum:
Learning as Programming: Modeling Efficient Search in Human Concept Learning. CogSci 2022 - [c369]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 - [c368]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 - [c367]Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRL 2022: 701-714 - [c366]Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following. CoRL 2022: 1743-1754 - [c365]Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CVPR 2022: 1403-1413 - [c364]Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba:
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. CVPR 2022: 10513-10523 - [c363]Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum:
Compositional Visual Generation with Composable Diffusion Models. ECCV (17) 2022: 423-439 - [c362]Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear:
Unsupervised Segmentation in Real-World Images via Spelke Object Inference. ECCV (29) 2022: 719-735 - [c361]Yi Gu, Shunyu Yao, Chuang Gan, Josh Tenenbaum, Mo Yu:
Revisiting the Roles of "Text" in Text Games. EMNLP (Findings) 2022: 6867-6876 - [c360]Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, Siddharth Narayanaswamy, Samuel Gershman, Joshua B. Tenenbaum:
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. ICLR 2022 - [c359]Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan:
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation. ICLR 2022 - [c358]Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. ICLR 2022 - [c357]Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. ICLR 2022 - [c356]Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan:
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. ICLR 2022 - [c355]Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum:
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations. ICLR 2022 - [c354]Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete:
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. ICLR 2022 - [c353]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. ICLR 2022 - [c352]Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Learning Iterative Reasoning through Energy Minimization. ICML 2022: 5570-5582 - [c351]Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine:
Planning with Diffusion for Flexible Behavior Synthesis. ICML 2022: 9902-9915 - [c350]Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal:
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. ICML 2022: 16480-16495 - [c349]Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan:
Prompting Decision Transformer for Few-Shot Policy Generalization. ICML 2022: 24631-24645 - [c348]Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann:
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. ICRA 2022: 6394-6400 - [c347]Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George:
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. ICRA 2022: 6674-6680 - [c346]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Incorporating Rich Social Interactions Into MDPs. ICRA 2022: 7395-7401 - [c345]Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum:
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. ICRA 2022: 8847-8854 - [c344]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
Robust Change Detection Based on Neural Descriptor Fields. IROS 2022: 2817-2824 - [c343]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. IROS 2022: 4166-4173 - [c342]Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum:
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. IROS 2022: 9259-9265 - [c341]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 - [c340]Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Josh Tenenbaum, Chuang Gan:
Learning Physical Dynamics with Subequivariant Graph Neural Networks. NeurIPS 2022 - [c339]Yining Hong, Yilun Du, Chunru Lin, Josh Tenenbaum, Chuang Gan:
3D Concept Grounding on Neural Fields. NeurIPS 2022 - [c338]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 - [c337]Yichao Liang, Josh Tenenbaum, Tuan Anh Le, N. Siddharth:
Drawing out of Distribution with Neuro-Symbolic Generative Models. NeurIPS 2022 - [c336]Andrew F. Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. NeurIPS 2022 - [c335]Jiayuan Mao, Tomás Lozano-Pérez, Josh Tenenbaum, Leslie Pack Kaelbling:
PDSketch: Integrated Domain Programming, Learning, and Planning. NeurIPS 2022 - [c334]Yanming Wan, Jiayuan Mao, Josh Tenenbaum:
HandMeThat: Human-Robot Communication in Physical and Social Environments. NeurIPS 2022 - [c333]Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
Designing Perceptual Puzzles by Differentiating Probabilistic Programs. SIGGRAPH (Conference Paper Track) 2022: 21:1-21:9 - [p2]Rose E. Wang, Sarah A. Wu, James A. Evans, David C. Parkes, Joshua B. Tenenbaum, Max Kleiman-Weiner:
Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration. Human-Like Machine Intelligence 2022: 152-170 - [i201]Edmond Awad, Sydney Levine, Andrea Loreggia, Nicholas Mattei, Iyad Rahwan, Francesca Rossi, Kartik Talamadupula, Joshua B. Tenenbaum, Max Kleiman-Weiner:
When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data. CoRR abs/2201.07763 (2022) - [i200]Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George:
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. CoRR abs/2202.03697 (2022) - [i199]Jiayuan Mao, Haoyue Shi, Jiajun Wu, Roger P. Levy, Joshua B. Tenenbaum:
Grammar-Based Grounded Lexicon Learning. CoRR abs/2202.08806 (2022) - [i198]Skylar Sutherland, Bernhard Egger, Joshua B. Tenenbaum:
Building 3D Generative Models from Minimal Data. CoRR abs/2203.02554 (2022) - [i197]Tom Silver, Rohan Chitnis, Nishanth Kumar, Willie McClinton, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Inventing Relational State and Action Abstractions for Effective and Efficient Bilevel Planning. CoRR abs/2203.09634 (2022) - [i196]Shunyu Yao, Mo Yu, Yang Zhang, Karthik R. Narasimhan, Joshua B. Tenenbaum, Chuang Gan:
Linking Emergent and Natural Languages via Corpus Transfer. CoRR abs/2203.13344 (2022) - [i195]Lingjie Mei, Jiayuan Mao, Ziqi Wang, Chuang Gan, Joshua B. Tenenbaum:
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations. CoRR abs/2203.16639 (2022) - [i194]Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, David Held, Chuang Gan:
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools. CoRR abs/2203.17275 (2022) - [i193]Andrew F. Luo, Yilun Du, Michael J. Tarr, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
Learning Neural Acoustic Fields. CoRR abs/2204.00628 (2022) - [i192]Kartik Chandra, Tzu-Mao Li, Joshua B. Tenenbaum, Jonathan Ragan-Kelley:
Designing Perceptual Puzzles by Differentiating Probabilistic Programs. CoRR abs/2204.12301 (2022) - [i191]Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos. CoRR abs/2205.01089 (2022) - [i190]Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan:
Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. CoRR abs/2205.02834 (2022) - [i189]Sizhe Li, Zhiao Huang, Tao Du, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics. CoRR abs/2205.02835 (2022) - [i188]Cameron Smith, Hong-Xing Yu, Sergey Zakharov, Frédo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann:
Unsupervised Discovery and Composition of Object Light Fields. CoRR abs/2205.03923 (2022) - [i187]Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan:
Identifying concept libraries from language about object structure. CoRR abs/2205.05666 (2022) - [i186]Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan:
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation. CoRR abs/2205.05678 (2022) - [i185]Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Joshua B. Tenenbaum:
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. CoRR abs/2205.05718 (2022) - [i184]Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear:
Unsupervised Segmentation in Real-World Images via Spelke Object Inference. CoRR abs/2205.08515 (2022) - [i183]Michael Janner, Yilun Du, Joshua B. Tenenbaum, Sergey Levine:
Planning with Diffusion for Flexible Behavior Synthesis. CoRR abs/2205.09991 (2022) - [i182]Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum:
Compositional Visual Generation with Composable Diffusion Models. CoRR abs/2206.01714 (2022) - [i181]Yichao Liang, Joshua B. Tenenbaum, Tuan Anh Le, N. Siddharth:
Drawing out of Distribution with Neuro-Symbolic Generative Models. CoRR abs/2206.01829 (2022) - [i180]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 Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. 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 Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej 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, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris 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, 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 J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, 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 H. 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, José Hernández-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 D. Dhole, Kevin Gimpel, Kevin Omondi, Kory W. 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, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, 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 A. 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 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 Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, 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 LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, 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 S. 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 T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu 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 V. 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, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i179]Tom Silver, Ashay Athalye, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Skills for Bilevel Planning. CoRR abs/2206.10680 (2022) - [i178]Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan:
Prompting Decision Transformer for Few-Shot Policy Generalization. CoRR abs/2206.13499 (2022) - [i177]Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Learning Iterative Reasoning through Energy Minimization. CoRR abs/2206.15448 (2022) - [i176]Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba:
Finding Fallen Objects Via Asynchronous Audio-Visual Integration. CoRR abs/2207.03483 (2022) - [i175]Yining Hong, Yilun Du, Chunru Lin, Joshua B. Tenenbaum, Chuang Gan:
3D Concept Grounding on Neural Fields. CoRR abs/2207.06403 (2022) - [i174]Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann:
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR abs/2207.11232 (2022) - [i173]Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
Robust Change Detection Based on Neural Descriptor Fields. CoRR abs/2208.01014 (2022) - [i172]Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind. CoRR abs/2208.02914 (2022) - [i171]Tan Zhi-Xuan, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning. CoRR abs/2208.02938 (2022) - [i170]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 abs/2210.01478 (2022) - [i169]Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - [i168]Jiaqi Han, Wenbing Huang, Hengbo Ma, Jiachen Li, Joshua B. Tenenbaum, Chuang Gan:
Learning Physical Dynamics with Subequivariant Graph Neural Networks. CoRR abs/2210.06876 (2022) - [i167]Yi Gu, Shunyu Yao, Chuang Gan, Joshua B. Tenenbaum, Mo Yu:
Revisiting the Roles of "Text" in Text Games. CoRR abs/2210.08384 (2022) - [i166]Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch:
Composing Ensembles of Pre-trained Models via Iterative Consensus. CoRR abs/2210.11522 (2022) - [i165]Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum:
H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. CoRR abs/2210.12521 (2022) - [i164]Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu:
On the Complexity of Bayesian Generalization. CoRR abs/2211.11033 (2022) - [i163]Aviv Netanyahu, Tianmin Shu, Joshua B. Tenenbaum, Pulkit Agrawal:
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning. CoRR abs/2211.15339 (2022) - [i162]Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B. Tenenbaum, Tommi S. Jaakkola, Pulkit Agrawal:
Is Conditional Generative Modeling all you need for Decision-Making? CoRR abs/2211.15657 (2022) - [i161]Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama:
Top-Down Synthesis for Library Learning. CoRR abs/2211.16605 (2022) - [i160]Robert D. Hawkins, Andrew M. Berdahl, Alex 'Sandy' Pentland, Joshua B. Tenenbaum, Noah D. Goodman, P. M. Krafft:
Flexible social inference facilitates targeted social learning when rewards are not observable. CoRR abs/2212.00869 (2022) - [i159]Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum:
Are Deep Neural Networks SMARTer than Second Graders? CoRR abs/2212.09993 (2022) - 2021
- [j28]Marta Kryven, Tomer D. Ullman, William Cowan, Joshua B. Tenenbaum:
Plans or Outcomes: How Do We Attribute Intelligence to Others? Cogn. Sci. 45(9) (2021) - [j27]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): 678-685 (2021) - [j26]Karl J. Friston, Rosalyn J. Moran, Yukie Nagai, Tadahiro Taniguchi, Hiroaki Gomi, Josh Tenenbaum:
World model learning and inference. Neural Networks 144: 573-590 (2021) - [j25]Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum:
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. 6(2): 4241-4248 (2021) - [j24]Sarah A. Wu, Rose E. Wang, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration. Top. Cogn. Sci. 13(2): 414-432 (2021) - [c332]Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum:
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. AAAI 2021: 845-853 - [c331]Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum:
Augmenting Policy Learning with Routines Discovered from a Single Demonstration. AAAI 2021: 11024-11032 - [c330]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. AAAI 2021: 11782-11791 - [c329]Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. AAAI 2021: 11962-11971 - [c328]Matthias Hofer, Tuan Anh Le, Roger Levy, Josh Tenenbaum:
Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model. CogSci 2021 - [c327]Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum:
LARC: Language annotated Abstraction and Reasoning Corpus. CogSci 2021 - [c326]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 - [c325]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 - [c324]Franziska Brändle, Kelsey R. Allen, Josh Tenenbaum, Eric Schulz:
Using Games to Understand Intelligence. CogSci 2021 - [c323]Sophia Diggs-Galligan, Junyi Chu, Josh Tenenbaum, Laura Schulz:
Explore, Exploit, Create: Inventing goals in play. CogSci 2021 - [c322]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 - [c321]Yoni Friedman, Tuan Anh Le, Bernhard Egger, Max H. Siegel, Josh Tenenbaum:
Explaining the Gestalt principle of common fate as amortized inference. CogSci 2021 - [c320]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 - [c319]Sydney Levine, Fiery Cushman, Iyad Rahwan, Josh Tenenbaum:
Engineering and reverse-engineering morality. CogSci 2021 - [c318]João Loula, Kelsey R. Allen, Josh Tenenbaum:
Combining rules and simulation to explain infant physical learning. CogSci 2021 - [c317]Michael Henry Tessler, Pedro Tsividis, Jason Madeano, Brin Harper, Josh Tenenbaum:
Growing knowledge culturally across generations to solve novel, complex task. CogSci 2021 - [c316]Catherine Wong, Yoni Friedman, Jacob Andreas, Josh Tenenbaum:
Language as a bootstrap for compositional visual reasoning. CogSci 2021 - [c315]Zhutian Yang, Marta Kryven, Howard E. Shrobe, Josh Tenenbaum:
Modeling human planning in a life-like search-and-rescue mission. CogSci 2021 - [c314]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 - [c313]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 - [c312]Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon:
Single-Shot Scene Reconstruction. CoRL 2021: 501-512 - [c311]Bernhard Egger, Skylar Sutherland, Safa C. Medin, Joshua B. Tenenbaum:
Identity-Expression Ambiguity in 3D Morphable Face Models. FG 2021: 1-7 - [c310]Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu:
Neural Radiance Flow for 4D View Synthesis and Video Processing. ICCV 2021: 14304-14314 - [c309]Skylar Sutherland, Bernhard Egger, Josh Tenenbaum:
Building 3D Morphable Models from a Single Scan. ICCVW 2021: 1-11 - [c308]Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette:
Learning with AMIGo: Adversarially Motivated Intrinsic Goals. ICLR 2021 - [c307]Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan:
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. ICLR 2021 - [c306]Yilun Du, Kevin A. Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of 3D Physical Objects from Video. ICLR 2021 - [c305]Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. ICLR 2021 - [c304]Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan:
Learning Task Decomposition with Ordered Memory Policy Network. ICLR 2021 - [c303]Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama:
Representing Partial Programs with Blended Abstract Semantics. ICLR 2021 - [c302]Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Yuan-Hong Liao, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba:
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. ICLR 2021 - [c301]Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
A large-scale benchmark for few-shot program induction and synthesis. ICML 2021: 175-186 - [c300]Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Improved Contrastive Divergence Training of Energy-Based Models. ICML 2021: 2837-2848 - [c299]Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman:
AGENT: A Benchmark for Core Psychological Reasoning. ICML 2021: 9614-9625 - [c298]Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas:
Leveraging Language to Learn Program Abstractions and Search Heuristics. ICML 2021: 11193-11204 - [c297]Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. IJCAI 2021: 2804-2811 - [c296]Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. IROS 2021: 2874-2881 - [c295]Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Symbolic Operators for Task and Motion Planning. IROS 2021: 3182-3189 - [c294]Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola:
OPEn: An Open-ended Physics Environment for Learning Without a Task. IROS 2021: 5878-5885 - [c293]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 - [c292]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: 887-899 - [c291]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: 2478-2490 - [c290]Jiayuan Mao, Freda Shi, Jiajun Wu, Roger Levy, Josh Tenenbaum:
Grammar-Based Grounded Lexicon Learning. NeurIPS 2021: 7865-7878 - [c289]Yilun Du, Katie Collins, Josh Tenenbaum, Vincent Sitzmann:
Learning Signal-Agnostic Manifolds of Neural Fields. NeurIPS 2021: 8320-8331 - [c288]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 - [c287]Nishad Gothoskar, Marco F. 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: 9600-9612 - [c286]Yilun Du, Shuang Li, Yash Sharma, Josh Tenenbaum, Igor Mordatch:
Unsupervised Learning of Compositional Energy Concepts. NeurIPS 2021: 15608-15620 - [c285]Ferran Alet, Dylan Doblar, Allan Zhou, Josh Tenenbaum, Kenji Kawaguchi, Chelsea Finn:
Noether Networks: meta-learning useful conserved quantities. NeurIPS 2021: 16384-16397 - [c284]Yining Hong, Li Yi, Josh Tenenbaum, Antonio Torralba, Chuang Gan:
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. NeurIPS 2021: 17427-17440 - [c283]Vincent Sitzmann, Semon Rezchikov, Bill Freeman, Josh Tenenbaum, Frédo Durand:
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. NeurIPS 2021: 19313-19325 - [c282]Nan Liu, Shuang Li, Yilun Du, Josh Tenenbaum, Antonio Torralba:
Learning to Compose Visual Relations. NeurIPS 2021: 23166-23178 - [c281]Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake:
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. NeurIPS 2021: 25192-25204 - [c280]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 - [c279]Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Lucas Morales, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum:
DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. PLDI 2021: 835-850 - [i158]Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman:
AGENT: A Benchmark for Core Psychological Reasoning. CoRR abs/2102.12321 (2021) - [i157]Nicholas Watters, Joshua B. Tenenbaum, Mehrdad Jazayeri:
Modular Object-Oriented Games: A Task Framework for Reinforcement Learning, Psychology, and Neuroscience. CoRR abs/2102.12616 (2021) - [i156]Tom Silver, Rohan Chitnis, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Learning Symbolic Operators for Task and Motion Planning. CoRR abs/2103.00589 (2021) - [i155]Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum:
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. CoRR abs/2103.01933 (2021) - [i154]Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan:
Learning Task Decomposition with Ordered Memory Policy Network. CoRR abs/2103.10972 (2021) - [i153]Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum:
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI. CoRR abs/2103.14025 (2021) - [i152]Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee Kenneth Wong, Joshua B. Tenenbaum, Chuang Gan:
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning. CoRR abs/2103.16564 (2021) - [i151]Fahad Alhasoun, Sarah Alnegheimish, Joshua B. Tenenbaum:
Probabilistic Programming Bots in Intuitive Physics Game Play. CoRR abs/2104.01980 (2021) - [i150]Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B. Tenenbaum, Chuang Gan:
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics. CoRR abs/2104.03311 (2021) - [i149]Matthias Hofer, Tuan Anh Le, Roger Levy, Joshua B. Tenenbaum:
Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model. CoRR abs/2104.08274 (2021) - [i148]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Neuro-Symbolic Relational Transition Models for Bilevel Planning. CoRR abs/2105.14074 (2021) - [i147]Vincent Sitzmann, Semon Rezchikov, William T. Freeman, Joshua B. Tenenbaum, Frédo Durand:
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering. CoRR abs/2106.02634 (2021) - [i146]Jiayuan Mao, Zhezheng Luo, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu, Leslie Pack Kaelbling, Tomer D. Ullman:
Temporal and Object Quantification Networks. CoRR abs/2106.05891 (2021) - [i145]Samuel Acquaviva, Yewen Pu, Marta Kryven, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Theodoros Sechopoulos, Michael Henry Tessler, Joshua B. Tenenbaum:
Communicating Natural Programs to Humans and Machines. CoRR abs/2106.07824 (2021) - [i144]Daniel M. Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiau-Yu Fish Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Li Fei-Fei, Nancy Kanwisher, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan:
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. CoRR abs/2106.08261 (2021) - [i143]Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas:
Leveraging Language to Learn Program Abstractions and Search Heuristics. CoRR abs/2106.11053 (2021) - [i142]Arwa Alanqary, Gloria Z. Lin, Joie Le, Tan Zhi-Xuan, Vikash K. Mansinghka, Joshua B. Tenenbaum:
Modeling the Mistakes of Boundedly Rational Agents Within a Bayesian Theory of Mind. CoRR abs/2106.13249 (2021) - [i141]Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake:
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. CoRR abs/2107.02794 (2021) - [i140]Tuan Anh Le, Katherine M. Collins, Luke Hewitt, Kevin Ellis, N. Siddharth, Samuel J. Gershman, Joshua B. Tenenbaum:
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface. CoRR abs/2107.06393 (2021) - [i139]Pedro A. Tsividis, João Loula, Jake Burga, Nathan Foss, Andres Campero, Thomas Pouncy, Samuel J. Gershman, Joshua B. Tenenbaum:
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning. CoRR abs/2107.12544 (2021) - [i138]Michael Henry Tessler, Pedro A. Tsividis, Jason Madeano, Brin Harper, Joshua B. Tenenbaum:
Growing knowledge culturally across generations to solve novel, complex tasks. CoRR abs/2107.13377 (2021) - [i137]Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba:
Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. CoRR abs/2109.04378 (2021) - [i136]Aidan Curtis, Tom Silver, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Discovering State and Action Abstractions for Generalized Task and Motion Planning. CoRR abs/2109.11082 (2021) - [i135]Bernhard Egger, Skylar Sutherland, Safa C. Medin, Joshua B. Tenenbaum:
Identity-Expression Ambiguity in 3D Morphable Face Models. CoRR abs/2109.14203 (2021) - [i134]Chuang Gan, Abhishek Bhandwaldar, Antonio Torralba, Joshua B. Tenenbaum, Phillip Isola:
OPEn: An Open-ended Physics Environment for Learning Without a Task. CoRR abs/2110.06912 (2021) - [i133]Ravi Tejwani, Yen-Ling Kuo, Tianmin Shu, Bennett Stankovits, Dan Gutfreund, Joshua B. Tenenbaum, Boris Katz, Andrei Barbu:
Incorporating Rich Social Interactions Into MDPs. CoRR abs/2110.10298 (2021) - [i132]Sugandha Sharma, Aidan Curtis, Marta Kryven, Joshua B. Tenenbaum, Ila R. Fiete:
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments. CoRR abs/2110.12301 (2021) - [i131]Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Joshua B. Tenenbaum, Chuang Gan:
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language. CoRR abs/2110.15358 (2021) - [i130]Nishad Gothoskar, Marco F. Cusumano-Towner, Ben Zinberg, Matin Ghavamizadeh, Falk Pollok, Austin Garrett, Joshua B. Tenenbaum, Dan Gutfreund, Vikash K. Mansinghka:
3DP3: 3D Scene Perception via Probabilistic Programming. CoRR abs/2111.00312 (2021) - [i129]Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. CoRR abs/2111.01048 (2021) - [i128]Yilun Du, Shuang Li, Yash Sharma, Joshua B. Tenenbaum, Igor Mordatch:
Unsupervised Learning of Compositional Energy Concepts. CoRR abs/2111.03042 (2021) - [i127]Yilun Du, Katherine M. Collins, Joshua B. Tenenbaum, Vincent Sitzmann:
Learning Signal-Agnostic Manifolds of Neural Fields. CoRR abs/2111.06387 (2021) - [i126]Nan Liu, Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba:
Learning to Compose Visual Relations. CoRR abs/2111.09297 (2021) - [i125]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 abs/2112.00903 (2021) - [i124]Ferran Alet, Dylan Doblar, Allan Zhou, Joshua B. Tenenbaum, Kenji Kawaguchi, Chelsea Finn:
Noether Networks: Meta-Learning Useful Conserved Quantities. CoRR abs/2112.03321 (2021) - [i123]Anthony Simeonov, Yilun Du, Andrea Tagliasacchi, Joshua B. Tenenbaum, Alberto Rodriguez, Pulkit Agrawal, Vincent Sitzmann:
Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation. CoRR abs/2112.05124 (2021) - [i122]Yining Hong, Li Yi, Joshua B. Tenenbaum, Antonio Torralba, Chuang Gan:
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. CoRR abs/2112.05136 (2021) - 2020
- [c278]Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum:
Few-Shot Bayesian Imitation Learning with Logical Program Policies. AAAI 2020: 10251-10258 - [c277]Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning. AAMAS 2020: 2032-2034 - [c276]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 - [c275]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 - [c274]Kelsey R. Allen, Kevin Smith, Ulyana Piterbarg, Robert Chen, Josh Tenenbaum:
Abstract strategy learning underlies flexible transfer in physical problem solving. CogSci 2020 - [c273]Katherine M. Collins, Josh Tenenbaum, Kevin Smith:
Perceiving unseen objects. CogSci 2020 - [c272]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 - [c271]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 - [c270]Alexander K. Lew, Michael Henry Tessler, Vikash Mansinghka, Josh Tenenbaum:
Leveraging Unstructured Statistical Knowledge in a Probabilistic Language of Thought. CogSci 2020 - [c269]João Loula, Kelsey R. Allen, Josh Tenenbaum:
A Task and Motion Approach to the Development of Planning. CogSci 2020 - [c268]Gal Raz, Setayesh Radkani, Josh Tenenbaum, Rebecca Saxe:
Humans measure algorithmic complexity to guide engagement with event sequences. CogSci 2020 - [c267]Anselm Rothe, Eric Schulz, Mathias Sablé-Meyer, Josh Tenenbaum, Azzurra Ruggeri:
Learning sequential patterns from graphical programs. CogSci 2020 - [c266]Rabih Salhab, Amir Ajorlou, Ali Jadbabaie, Josh Tenenbaum:
Social Learning with Sparse Belief Samples. CogSci 2020 - [c265]Tianmin Shu, Marta Kryven, Tomer D. Ullman, Josh Tenenbaum:
Adventures in Flatland: Perceiving Social Interactions Under Physical Dynamics. CogSci 2020 - [c264]Skylar Sutherland, Bernhard Egger, Josh Tenenbaum:
Learning a Generative Model of Human Faces Through Inverse Rendering. CogSci 2020 - [c263]Michael Henry Tessler, Sophie Bridgers, Josh Tenenbaum:
How many observations is one generic worth? CogSci 2020 - [c262]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 - [c261]Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Robert Hogan, Joshua B. Tenenbaum, Pulkit Agrawal, Alberto Rodriguez:
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects. CoRL 2020: 1582-1601 - [c260]Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
End-to-End Optimization of Scene Layout. CVPR 2020: 3753-3762 - [c259]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Perspective Plane Program Induction From a Single Image. CVPR 2020: 4433-4442 - [c258]William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger:
A Morphable Face Albedo Model. CVPR 2020: 5010-5019 - [c257]Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba:
Music Gesture for Visual Sound Separation. CVPR 2020: 10475-10484 - [c256]Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua B. Tenenbaum:
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence. CVPR 2020: 10827-10836 - [c255]Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola:
Rethinking Few-Shot Image Classification: A Good Embedding is All You Need? ECCV (14) 2020: 266-282 - [c254]Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba:
Foley Music: Learning to Generate Music from Videos. ECCV (11) 2020: 758-775 - [c253]Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: Collision Events for Video Representation and Reasoning. ICLR 2020 - [c252]Zhoutong Zhang, Yunyun Wang, Chuang Gan, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
Deep Audio Priors Emerge From Harmonic Convolutional Networks. ICLR 2020 - [c251]Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba:
Visual Grounding of Learned Physical Models. ICML 2020: 5927-5936 - [c250]Alina Kloss, Maria Bauzá, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg:
Accurate Vision-based Manipulation through Contact Reasoning. ICRA 2020: 6738-6744 - [c249]Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum:
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. ICRA 2020: 9701-9707 - [c248]Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum:
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs. IJCAI 2020: 4190-4198 - [c247]João Loula, Kelsey R. Allen, Tom Silver, Josh Tenenbaum:
Learning constraint-based planning models from demonstrations. IROS 2020: 5410-5416 - [c246]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:
Learning Physical Graph Representations from Visual Scenes. NeurIPS 2020 - [c245]Yikai Li, Jiayuan Mao, Xiuming Zhang, Bill Freeman, Josh Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. NeurIPS 2020 - [c244]Maxwell I. Nye, Armando Solar-Lezama, Josh Tenenbaum, Brenden M. Lake:
Learning Compositional Rules via Neural Program Synthesis. NeurIPS 2020 - [c243]Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama:
Program Synthesis with Pragmatic Communication. NeurIPS 2020 - [c242]Lucas Yanan Tian, Kevin Ellis, Marta Kryven, Josh Tenenbaum:
Learning abstract structure for drawing by efficient motor program induction. NeurIPS 2020 - [c241]Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Josh Tenenbaum, Vikash Mansinghka:
Online Bayesian Goal Inference for Boundedly Rational Planning Agents. NeurIPS 2020 - [c240]Luke B. Hewitt, Tuan Anh Le, Joshua B. Tenenbaum:
Learning to learn generative programs with Memoised Wake-Sleep. UAI 2020: 1278-1287 - [i121]Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
GLIB: Exploration via Goal-Literal Babbling for Lifted Operator Learning. CoRR abs/2001.08299 (2020) - [i120]Chi Han, Jiayuan Mao, Chuang Gan, Joshua B. Tenenbaum, Jiajun Wu:
Visual Concept-Metaconcept Learning. CoRR abs/2002.01464 (2020) - [i119]Maxwell I. Nye, Armando Solar-Lezama, Joshua B. Tenenbaum, Brenden M. Lake:
Learning Compositional Rules via Neural Program Synthesis. CoRR abs/2003.05562 (2020) - [i118]Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola:
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? CoRR abs/2003.11539 (2020) - [i117]Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too many cooks: Coordinating multi-agent collaboration through inverse planning. CoRR abs/2003.11778 (2020) - [i116]William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger:
A Morphable Face Albedo Model. CoRR abs/2004.02711 (2020) - [i115]Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu:
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense. CoRR abs/2004.09044 (2020) - [i114]Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba:
Music Gesture for Visual Sound Separation. CoRR abs/2004.09476 (2020) - [i113]Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel L. K. Yamins, Jiajun Wu, Joshua B. Tenenbaum, Antonio Torralba:
Visual Grounding of Learned Physical Models. CoRR abs/2004.13664 (2020) - [i112]Tan Zhi-Xuan, Jordyn L. Mann, Tom Silver, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Online Bayesian Goal Inference for Boundedly-Rational Planning Agents. CoRR abs/2006.07532 (2020) - [i111]Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Luc Cary, Lucas Morales, Luke B. Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum:
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning. CoRR abs/2006.08381 (2020) - [i110]Andres Campero, Roberta Raileanu, Heinrich Küttler, Joshua B. Tenenbaum, Tim Rocktäschel, Edward Grefenstette:
Learning with AMIGo: Adversarially Motivated Intrinsic Goals. CoRR abs/2006.12122 (2020) - [i109]Daniel M. Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins:
Learning Physical Graph Representations from Visual Scenes. CoRR abs/2006.12373 (2020) - [i108]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Perspective Plane Program Induction from a Single Image. CoRR abs/2006.14708 (2020) - [i107]Luke B. Hewitt, Tuan Anh Le, Joshua B. Tenenbaum:
Learning to learn generative programs with Memoised Wake-Sleep. CoRR abs/2007.03132 (2020) - [i106]Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins:
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. CoRR abs/2007.04954 (2020) - [i105]Yewen Pu, Kevin Ellis, Marta Kryven, Josh Tenenbaum, Armando Solar-Lezama:
Program Synthesis with Pragmatic Communication. CoRR abs/2007.05060 (2020) - [i104]Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba:
Foley Music: Learning to Generate Music from Videos. CoRR abs/2007.10984 (2020) - [i103]Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
End-to-End Optimization of Scene Layout. CoRR abs/2007.11744 (2020) - [i102]Yilun Du, Kevin Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of 3D Physical Objects from Video. CoRR abs/2007.12348 (2020) - [i101]Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum:
Noisy Agents: Self-supervised Exploration by Predicting Auditory Events. CoRR abs/2007.13729 (2020) - [i100]Lucas Yanan Tian, Kevin Ellis, Marta Kryven, Joshua B. Tenenbaum:
Learning abstract structure for drawing by efficient motor program induction. CoRR abs/2008.03519 (2020) - [i99]Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. CoRR abs/2009.05613 (2020) - [i98]Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba:
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration. CoRR abs/2010.09890 (2020) - [i97]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 abs/2010.13187 (2020) - [i96]Yilun Du, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Online Data Association. CoRR abs/2011.03183 (2020) - [i95]Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum:
Towards Human-Level Learning of Complex Physical Puzzles. CoRR abs/2011.07193 (2020) - [i94]Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Robert Hogan, Joshua B. Tenenbaum, Pulkit Agrawal, Alberto Rodriguez:
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects. CoRR abs/2011.08177 (2020) - [i93]Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Noah Snavely, Jiajun Wu:
Multi-Plane Program Induction with 3D Box Priors. CoRR abs/2011.10007 (2020) - [i92]Skylar Sutherland, Bernhard Egger, Joshua B. Tenenbaum:
Building 3D Morphable Models from a Single Scan. CoRR abs/2011.12440 (2020) - [i91]Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch:
Improved Contrastive Divergence Training of Energy Based Models. CoRR abs/2012.01316 (2020) - [i90]Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu:
Neural Radiance Flow for 4D View Synthesis and Video Processing. CoRR abs/2012.09790 (2020) - [i89]Jianwei Yang, Jiayuan Mao, Jiajun Wu, Devi Parikh, David D. Cox, Joshua B. Tenenbaum, Chuang Gan:
Object-Centric Diagnosis of Visual Reasoning. CoRR abs/2012.11587 (2020) - [i88]Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum:
Augmenting Policy Learning with Routines Discovered from a Demonstration. CoRR abs/2012.12469 (2020) - [i87]Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama:
Representing Partial Programs with Blended Abstract Semantics. CoRR abs/2012.12964 (2020)
2010 – 2019
- 2019
- [j23]Elizabeth Bonawitz, Tomer D. Ullman, Sophie Bridgers, Alison Gopnik, Joshua B. Tenenbaum:
Sticking to the Evidence? A Behavioral and Computational Case Study of Micro-Theory Change in the Domain of Magnetism. Cogn. Sci. 43(8) (2019) - [j22]Tao Gao, Chris L. Baker, Ning Tang, Haokui Xu, Joshua B. Tenenbaum:
The Cognitive Architecture of Perceived Animacy: Intention, Attention, and Memory. Cogn. Sci. 43(8) (2019) - [j21]Iyad Rahwan, Manuel Cebrián, Nick Obradovich, Josh C. Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex 'Sandy' Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael P. Wellman:
Machine behaviour. Nat. 568(7753): 477-486 (2019) - [j20]Christopher Bates, Ilker Yildirim, Joshua B. Tenenbaum, Peter W. Battaglia:
Modeling human intuitions about liquid flow with particle-based simulation. PLoS Comput. Biol. 15(7) (2019) - [j19]M. Oller, Jiajun Wu, Z. Wu, Joshua B. Tenenbaum, Alberto Rodriguez:
See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion. Sci. Robotics 4(26) (2019) - [c239]Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum:
Theory of Minds: Understanding Behavior in Groups through Inverse Planning. AAAI 2019: 6163-6170 - [c238]Ishita Dasgupta, Eric Schulz, Jessica B. Hamrick, Josh Tenenbaum:
Heuristics, hacks, and habits: Boundedly optimal approaches to learning, reasoning and decision making. CogSci 2019: 1-2 - [c237]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: 39-40 - [c236]Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum:
Rapid Trial-and-Error Learning in Physical Problem Solving. CogSci 2019: 90 - [c235]Ilker Yildirim, Basil Saeed, Grace Bennett-Pierre, Tobias Gerstenberg, Josh Tenenbaum, Hyowon Gweon:
Explaining intuitive difficulty judgments by modeling physical effort and risk. CogSci 2019: 1233 - [c234]Tyler Brooke-Wilson, Jonathan S. Rosenfeld, Matthias Hofer, Junyi Chu, Josh Tenenbaum:
Simplicity and Probability in Human Judgment. CogSci 2019: 1457 - [c233]Junyi Chu, Jon Gauthier, Roger Levy, Josh Tenenbaum, Laura Schulz:
Query-guided visual search. CogSci 2019: 1520 - [c232]Jon Gauthier, Roger Levy, Josh Tenenbaum:
A rational model of syntactic bootstrapping. CogSci 2019: 1815-1821 - [c231]Sydney Levine, Max Kleiman-Weiner, Laura Schulz, Josh Tenenbaum, Fiery Cushman:
What if everybody did that?: Universalization as a mechanism of moral decision-making. CogSci 2019: 2125 - [c230]João Loula, Tom Silver, Kelsey R. Allen, Josh Tenenbaum:
Discovering a symbolic planning language from continuous experience. CogSci 2019: 2193 - [c229]Peng Qian, Luke B. Hewitt, Josh Tenenbaum, Roger Levy:
Inferring Structured Visual Concepts from Minimal Data. CogSci 2019: 2620-2626 - [c228]Tomer D. Ullman, Eliza Kosoy, Ilker Yildirim, Amir Arsalan Soltani, Max H. Siegel, Josh Tenenbaum, Elizabeth S. Spelke:
Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects. CogSci 2019: 3008-3014 - [c227]Catherine Wong, Kevin Ellis, Mathias Sablé-Meyer, Josh Tenenbaum:
Modeling Expertise with Neurally-Guided Bayesian Program Induction. CogSci 2019: 3114 - [c226]Marta Kryven, Laura Niemi, Laurie Paul, Josh Tenenbaum:
Choosing the unimaginable: Social psychological factors in seeking transformative experiences. CogSci 2019: 3300 - [c225]Joshua S. Rule, Josh Tenenbaum, Steven T. Piantadosi:
Learning a novel rule-based conceptual system. CogSci 2019: 3348 - [c224]Kevin Smith, Mario Belledonne, Ilker Yildirim, Jiajun Wu, Josh Tenenbaum:
Real-time inference of physical properties in dynamic scenes. CogSci 2019: 3362 - [c223]Joshua K. Hartshorne, Mariela V. Jennings, Tobias Gerstenberg, Josh Tenenbaum:
When circumstances change, update your pronouns. CogSci 2019: 3472 - [c222]Sean Dae Houlihan, Max Kleiman-Weiner, Josh Tenenbaum, Rebecca Saxe:
Emotion attributions echo the structure of people's intuitive theory of psychology. CogSci 2019: 3477 - [c221]Marta Kryven, Sholei Croom, Brian J. Scholl, Josh Tenenbaum:
Look out, it's going to fall!: Does physical instability capture attention and lead to distraction? CogSci 2019: 3500 - [c220]Moyuru Yamada, Kevin A. Smith, Josh Tenenbaum:
The effects of object motion observations on physical prediction. CogSci 2019: 3609 - [c219]Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine:
Entity Abstraction in Visual Model-Based Reinforcement Learning. CoRL 2019: 1439-1456 - [c218]Xiuming Zhang, Jiayuan Mao, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators. ICCV 2019: 4029-4038 - [c217]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. ICLR (Poster) 2019 - [c216]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
Visualizing and Understanding GANs. DGS@ICLR 2019 - [c215]Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu:
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning. ICLR (Poster) 2019 - [c214]Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba:
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. ICLR (Poster) 2019 - [c213]Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Describe Scenes with Programs. ICLR (Poster) 2019 - [c212]Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. ICLR 2019 - [c211]Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy:
Stochastic Prediction of Multi-Agent Interactions from Partial Observations. ICLR (Poster) 2019 - [c210]Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Infer and Execute 3D Shape Programs. ICLR (Poster) 2019 - [c209]Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of Parts, Structure, and Dynamics. ICLR (Poster) 2019 - [c208]Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum:
Infinite Mixture Prototypes for Few-shot Learning. ICML 2019: 232-241 - [c207]Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
Neurally-Guided Structure Inference. ICML 2019: 4144-4153 - [c206]Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama:
Learning to Infer Program Sketches. ICML 2019: 4861-4870 - [c205]Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake:
Propagation Networks for Model-Based Control Under Partial Observation. ICRA 2019: 1205-1211 - [c204]Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling:
Combining Physical Simulators and Object-Based Networks for Control. ICRA 2019: 3217-3223 - [c203]Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik:
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics. ICRA 2019: 6265-6271 - [c202]Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. IJCAI 2019: 6231-6235 - [c201]Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Josh Tenenbaum:
Finding Friend and Foe in Multi-Agent Games. NeurIPS 2019: 1249-1259 - [c200]Chi Han, Jiayuan Mao, Chuang Gan, Josh Tenenbaum, Jiajun Wu:
Visual Concept-Metaconcept Learning. NeurIPS 2019: 5002-5013 - [c199]Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth S. Spelke, Josh Tenenbaum, Tomer D. Ullman:
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations. NeurIPS 2019: 8983-8993 - [c198]Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama:
Write, Execute, Assess: Program Synthesis with a REPL. NeurIPS 2019: 9165-9174 - [c197]Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, Boris Katz:
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models. NeurIPS 2019: 9448-9458 - [c196]Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song:
DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions. Robotics: Science and Systems 2019 - [i86]Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Learning to Infer and Execute 3D Shape Programs. CoRR abs/1901.02875 (2019) - [i85]Michael Shum, Max Kleiman-Weiner, Michael L. Littman, Joshua B. Tenenbaum:
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning. CoRR abs/1901.06085 (2019) - [i84]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
Visualizing and Understanding Generative Adversarial Networks (Extended Abstract). CoRR abs/1901.09887 (2019) - [i83]Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum:
The Omniglot Challenge: A 3-Year Progress Report. CoRR abs/1902.03477 (2019) - [i82]Kelsey R. Allen, Evan Shelhamer, Hanul Shin, Joshua B. Tenenbaum:
Infinite Mixture Prototypes for Few-Shot Learning. CoRR abs/1902.04552 (2019) - [i81]Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama:
Learning to Infer Program Sketches. CoRR abs/1902.06349 (2019) - [i80]Chen Sun, Per Karlsson, Jiajun Wu, Joshua B. Tenenbaum, Kevin Murphy:
Stochastic Prediction of Multi-Agent Interactions from Partial Observations. CoRR abs/1902.09641 (2019) - [i79]Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Unsupervised Discovery of Parts, Structure, and Dynamics. CoRR abs/1903.05136 (2019) - [i78]Tom Silver, Kelsey R. Allen, Alex K. Lew, Leslie Pack Kaelbling, Josh Tenenbaum:
Few-Shot Bayesian Imitation Learning with Logic over Programs. CoRR abs/1904.06317 (2019) - [i77]Anurag Ajay, Maria Bauzá, Jiajun Wu, Nima Fazeli, Joshua B. Tenenbaum, Alberto Rodriguez, Leslie Pack Kaelbling:
Combining Physical Simulators and Object-Based Networks for Control. CoRR abs/1904.06580 (2019) - [i76]Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu:
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision. CoRR abs/1904.12584 (2019) - [i75]Ilker Yildirim, Basil Saeed, Grace Bennett-Pierre, Tobias Gerstenberg, Joshua B. Tenenbaum, Hyowon Gweon:
Explaining intuitive difficulty judgments by modeling physical effort and risk. CoRR abs/1905.04445 (2019) - [i74]Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Joshua B. Tenenbaum:
Finding Friend and Foe in Multi-Agent Games. CoRR abs/1906.02330 (2019) - [i73]Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song:
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions. CoRR abs/1906.03853 (2019) - [i72]Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama:
Write, Execute, Assess: Program Synthesis with a REPL. CoRR abs/1906.04604 (2019) - [i71]Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu:
Neurally-Guided Structure Inference. CoRR abs/1906.07304 (2019) - [i70]Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. CoRR abs/1907.09620 (2019) - [i69]Jiayuan Mao, Xiuming Zhang, Yikai Li, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Program-Guided Image Manipulators. CoRR abs/1909.02116 (2019) - [i68]Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum:
Dual Sequential Monte Carlo: Tunneling Filtering and Planning in Continuous POMDPs. CoRR abs/1909.13003 (2019) - [i67]Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: CoLlision Events for Video REpresentation and Reasoning. CoRR abs/1910.01442 (2019) - [i66]Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine:
Entity Abstraction in Visual Model-Based Reinforcement Learning. CoRR abs/1910.12827 (2019) - [i65]Alina Kloss, Maria Bauzá, Jiajun Wu, Joshua B. Tenenbaum, Alberto Rodriguez, Jeannette Bohg:
Accurate Vision-based Manipulation through Contact Reasoning. CoRR abs/1911.03112 (2019) - [i64]Chuang Gan, Yiwei Zhang, Jiajun Wu, Boqing Gong, Joshua B. Tenenbaum:
Look, Listen, and Act: Towards Audio-Visual Embodied Navigation. CoRR abs/1912.11684 (2019) - 2018
- [j18]Yang Wu, Chris L. Baker, Joshua B. Tenenbaum, Laura Schulz:
Rational Inference of Beliefs and Desires From Emotional Expressions. Cogn. Sci. 42(3): 850-884 (2018) - [j17]Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
3D Interpreter Networks for Viewer-Centered Wireframe Modeling. Int. J. Comput. Vis. 126(9): 1009-1026 (2018) - [c195]Richard Kim, Max Kleiman-Weiner, Andrés Abeliuk, Edmond Awad, Sohan Dsouza, Joshua B. Tenenbaum, Iyad Rahwan:
A Computational Model of Commonsense Moral Decision Making. AIES 2018: 197-203 - [c194]Josh Tenenbaum:
Building Machines that Learn and Think Like People. AAMAS 2018: 5 - [c193]Neil Bramley, Anselm Rothe, Josh Tenenbaum, Fei Xu, Todd M. Gureckis:
Grounding Compositional Hypothesis Generation in Specific Instances. CogSci 2018 - [c192]Neil Bramley, Eric Schulz, Fei Xu, Josh Tenenbaum:
Learning as program induction. CogSci 2018 - [c191]Maddie Cusimano, Luke B. Hewitt, Josh Tenenbaum, Josh H. McDermott:
Auditory scene analysis as Bayesian inference in sound source models. CogSci 2018 - [c190]Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman:
Learning to act by integrating mental simulations and physical experiments. CogSci 2018 - [c189]Monica A. Gates, Tess L. Veuthey, Michael Henry Tessler, Kevin A. Smith, Tobias Gerstenberg, Laurie Bayet, Josh Tenenbaum:
Tiptoeing around it: Inference from absence in potentially offensive speech. CogSci 2018 - [c188]Jon Gauthier, Roger Levy, Josh Tenenbaum:
Word learning and the acquisition of syntactic-semantic overhypotheses. CogSci 2018 - [c187]Tobias Gerstenberg, Max H. Siegel, Josh Tenenbaum:
What happened? Reconstructing the past through vision and sound. CogSci 2018 - [c186]Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Josh Tenenbaum, Peter W. Battaglia:
Relational inductive bias for physical construction in humans and machines. CogSci 2018 - [c185]Matthias Hofer, Josh Tenenbaum, Roger Levy:
Inductive Biases in the Evolution of Combinatorial Structure in Language. CogSci 2018 - [c184]Sean Dae Houlihan, Max Kleiman-Weiner, Josh Tenenbaum, Rebecca Saxe:
A generative model of people's intuitive theory of emotions: inverse planning in rich social games. CogSci 2018 - [c183]Richard Kim, Niccolo Pescetelli, Max Kleiman-Weiner, Edmond Awad, Sohan Dsouza, Josh Tenenbaum, Iyad Rahwan:
Hierarchical Drift-Diffusion Model for Moral Dilemma: Understanding Reaction Times and Choices. CogSci 2018 - [c182]Max Kleiman-Weiner, Alejandro Vientós, David Rand, Josh Tenenbaum:
The Evolution of Cooperation in Cognitively Flexible Agents. CogSci 2018 - [c181]Sydney Levine, Max Kleiman-Weiner, Nicholas Chater, Fiery Cushman, Josh Tenenbaum:
The Cognitive Mechanisms of Contractualist Moral Decision-Making. CogSci 2018 - [c180]Joshua S. Rule, Eric Schulz, Steven T. Piantadosi, Josh Tenenbaum:
Learning list concepts through program induction. CogSci 2018 - [c179]Sarah Schwettmann, Jason Fischer, Josh Tenenbaum, Nancy Kanwisher:
Evidence for an Intuitive Physics Engine in the Human Brain. CogSci 2018 - [c178]Max H. Siegel, Josh Tenenbaum, Josh H. McDermott:
Physical Inference for Object Perception in Complex Auditory Scenes. CogSci 2018 - [c177]Kevin A. Smith, Josh Tenenbaum, Erin M. Anderson, Susan J. Hespos, Lance J. Rips, Chaz Firestone, Jessica B. Hamrick:
Strategies and representations in physical inference. CogSci 2018 - [c176]Felix Sosa, Tomer D. Ullman, Samuel Gershman, Josh Tenenbaum, Tobias Gerstenberg:
Moral Dynamics: A Computational Model of Moral Judgment. CogSci 2018 - [c175]Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, Joshua B. Tenenbaum, William T. Freeman:
Inverting Audio-Visual Simulation for Shape and Material Perception. CVPR Workshops 2018: 2536-2538 - [c174]Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. CVPR 2018: 2974-2983 - [c173]Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Physical Primitive Decomposition. ECCV (12) 2018: 3-20 - [c172]Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
Learning Shape Priors for Single-View 3D Completion And Reconstruction. ECCV (11) 2018: 673-691 - [c171]Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
Seeing Tree Structure from Vibration. ECCV (9) 2018: 762-779 - [c170]Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel:
Meta-Learning for Semi-Supervised Few-Shot Classification. ICLR (Poster) 2018 - [c169]Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson:
3D Shape Perception from Monocular Vision, Touch, and Shape Priors. IROS 2018: 1606-1613 - [c168]Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez:
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. IROS 2018: 3066-3073 - [c167]Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman:
Visual Object Networks: Image Generation with Disentangled 3D Representations. NeurIPS 2018: 118-129 - [c166]Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Josh Tenenbaum:
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. NeurIPS 2018: 1039-1050 - [c165]Yilun Du, Zhijian Liu, Hector Basevi, Ales Leonardis, Bill Freeman, Josh Tenenbaum, Jiajun Wu:
Learning to Exploit Stability for 3D Scene Parsing. NeurIPS 2018: 1733-1743 - [c164]Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, Bill Freeman, Josh Tenenbaum:
3D-Aware Scene Manipulation via Inverse Graphics. NeurIPS 2018: 1891-1902 - [c163]Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu:
Learning to Reconstruct Shapes from Unseen Classes. NeurIPS 2018: 2263-2274 - [c162]Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Josh Tenenbaum:
Learning to Infer Graphics Programs from Hand-Drawn Images. NeurIPS 2018: 6062-6071 - [c161]Filipe de Avila Belbute-Peres, Kevin A. Smith, Kelsey R. Allen, Josh Tenenbaum, J. Zico Kolter:
End-to-End Differentiable Physics for Learning and Control. NeurIPS 2018: 7178-7189 - [c160]Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Josh Tenenbaum:
Learning Libraries of Subroutines for Neurally-Guided Bayesian Program Induction. NeurIPS 2018: 7816-7826 - [c159]Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Josh Tenenbaum, Daniel L. K. Yamins:
Flexible neural representation for physics prediction. NeurIPS 2018: 8813-8824 - [c158]Daniel Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew M. Botvinick, David J. Schwab:
Learning to Share and Hide Intentions using Information Regularization. NeurIPS 2018: 10270-10281 - [c157]Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin C. Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson:
The three pillars of machine programming. MAPL@PLDI 2018: 69-80 - [c156]Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum:
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. Robotics: Science and Systems 2018 - [c155]David Zheng, Vinson Luo, Jiajun Wu, Joshua B. Tenenbaum:
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks. UAI 2018: 497-507 - [c154]Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum:
The Variational Homoencoder: Learning to learn high capacity generative models from few examples. UAI 2018: 988-997 - [i63]Richard Kim, Max Kleiman-Weiner, Andrés Abeliuk, Edmond Awad, Sohan Dsouza, Josh Tenenbaum, Iyad Rahwan:
A Computational Model of Commonsense Moral Decision Making. CoRR abs/1801.04346 (2018) - [i62]Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel:
Meta-Learning for Semi-Supervised Few-Shot Classification. CoRR abs/1803.00676 (2018) - [i61]Edmond Awad, Sydney Levine, Max Kleiman-Weiner, Sohan Dsouza, Joshua B. Tenenbaum, Azim Shariff, Jean-François Bonnefon, Iyad Rahwan:
Blaming humans in autonomous vehicle accidents: Shared responsibility across levels of automation. CoRR abs/1803.07170 (2018) - [i60]Justin Gottschlich, Armando Solar-Lezama, Nesime Tatbul, Michael Carbin, Martin C. Rinard, Regina Barzilay, Saman P. Amarasinghe, Joshua B. Tenenbaum, Tim Mattson:
The Three Pillars of Machine-Based Programming. CoRR abs/1803.07244 (2018) - [i59]Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
3D Interpreter Networks for Viewer-Centered Wireframe Modeling. CoRR abs/1804.00782 (2018) - [i58]Daniel Harari, Joshua B. Tenenbaum, Shimon Ullman:
Discovery and usage of joint attention in images. CoRR abs/1804.04604 (2018) - [i57]Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. CoRR abs/1804.04610 (2018) - [i56]Jon Gauthier, Roger Levy, Joshua B. Tenenbaum:
Word learning and the acquisition of syntactic-semantic overhypotheses. CoRR abs/1805.04988 (2018) - [i55]Jessica B. Hamrick, Kelsey R. Allen, Victor Bapst, Tina Zhu, Kevin R. McKee, Joshua B. Tenenbaum, Peter W. Battaglia:
Relational inductive bias for physical construction in humans and machines. CoRR abs/1806.01203 (2018) - [i54]Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Joshua B. Tenenbaum, Daniel L. K. Yamins:
Flexible Neural Representation for Physics Prediction. CoRR abs/1806.08047 (2018) - [i53]Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum:
The Variational Homoencoder: Learning to learn high capacity generative models from few examples. CoRR abs/1807.08919 (2018) - [i52]David Zheng, Vinson Luo, Jiajun Wu, Joshua B. Tenenbaum:
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks. CoRR abs/1807.09244 (2018) - [i51]DJ Strouse, Max Kleiman-Weiner, Josh Tenenbaum, Matthew M. Botvinick, David J. Schwab:
Learning to Share and Hide Intentions using Information Regularization. CoRR abs/1808.02093 (2018) - [i50]Anurag Ajay, Jiajun Wu, Nima Fazeli, Maria Bauzá, Leslie Pack Kaelbling, Joshua B. Tenenbaum, Alberto Rodriguez:
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing. CoRR abs/1808.03246 (2018) - [i49]Shaoxiong Wang, Jiajun Wu, Xingyuan Sun, Wenzhen Yuan, William T. Freeman, Joshua B. Tenenbaum, Edward H. Adelson:
3D Shape Perception from Monocular Vision, Touch, and Shape Priors. CoRR abs/1808.03247 (2018) - [i48]Shunyu Yao, Tzu-Ming Harry Hsu, Jun-Yan Zhu, Jiajun Wu, Antonio Torralba, William T. Freeman, Joshua B. Tenenbaum:
3D-Aware Scene Manipulation via Inverse Graphics. CoRR abs/1808.09351 (2018) - [i47]Christopher Bates, Ilker Yildirim, Joshua B. Tenenbaum, Peter W. Battaglia:
Modeling human intuitions about liquid flow with particle-based simulation. CoRR abs/1809.01524 (2018) - [i46]Andres Campero, Aldo Pareja, Tim Klinger, Josh Tenenbaum, Sebastian Riedel:
Logical Rule Induction and Theory Learning Using Neural Theorem Proving. CoRR abs/1809.02193 (2018) - [i45]Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
Seeing Tree Structure from Vibration. CoRR abs/1809.05067 (2018) - [i44]Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
Learning Shape Priors for Single-View 3D Completion and Reconstruction. CoRR abs/1809.05068 (2018) - [i43]Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Physical Primitive Decomposition. CoRR abs/1809.05070 (2018) - [i42]Yunzhu Li, Jiajun Wu, Jun-Yan Zhu, Joshua B. Tenenbaum, Antonio Torralba, Russ Tedrake:
Propagation Networks for Model-Based Control Under Partial Observation. CoRR abs/1809.11169 (2018) - [i41]Yuanming Hu, Jiancheng Liu, Andrew Spielberg, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu, Daniela Rus, Wojciech Matusik:
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics. CoRR abs/1810.01054 (2018) - [i40]Yunzhu Li, Jiajun Wu, Russ Tedrake, Joshua B. Tenenbaum, Antonio Torralba:
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids. CoRR abs/1810.01566 (2018) - [i39]Kexin Yi, Jiajun Wu, Chuang Gan, Antonio Torralba, Pushmeet Kohli, Joshua B. Tenenbaum:
Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding. CoRR abs/1810.02338 (2018) - [i38]Vlad Firoiu, Tina Ju, Josh Tenenbaum:
At Human Speed: Deep Reinforcement Learning with Action Delay. CoRR abs/1810.07286 (2018) - [i37]David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba:
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks. CoRR abs/1811.10597 (2018) - [i36]Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman:
Visual Object Networks: Image Generation with Disentangled 3D Representation. CoRR abs/1812.02725 (2018) - [i35]Tom Silver, Kelsey R. Allen, Josh Tenenbaum, Leslie Pack Kaelbling:
Residual Policy Learning. CoRR abs/1812.06298 (2018) - [i34]Michael Janner, Sergey Levine, William T. Freeman, Joshua B. Tenenbaum, Chelsea Finn, Jiajun Wu:
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning. CoRR abs/1812.10972 (2018) - [i33]Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu:
Learning to Reconstruct Shapes from Unseen Classes. CoRR abs/1812.11166 (2018) - 2017
- [c153]Pedro Tsividis, Thomas Pouncy, Jaqueline L. Xu, Joshua B. Tenenbaum, Samuel J. Gershman:
Human Learning in Atari. AAAI Spring Symposia 2017 - [c152]Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum:
Simulation and heuristics in flexible tool use. CogSci 2017 - [c151]Andres Campero, Andrew Francl, Joshua B. Tenenbaum:
Learning to Learn Visual Object Categories by Integrating Deep Learning with Hierarchical Bayes. CogSci 2017 - [c150]Tobias Gerstenberg, Liang Zhou, Kevin A. Smith, Joshua B. Tenenbaum:
Faulty Towers: A hypothetical simulation model of physical support. CogSci 2017 - [c149]Max Kleiman-Weiner, Alex Shaw, Josh Tenenbaum:
Constructing Social Preferences From Anticipated Judgments: When Impartial Inequity is Fair and Why? CogSci 2017 - [c148]Max Kleiman-Weiner, Yibiao Zhao, Josh Tenenbaum:
Cooperative Social Intelligence: Understanding and Acting with Other. CogSci 2017 - [c147]Eliza Kosoy, Brenden M. Lake, Josh Tenenbaum:
One-shot Learning and Classification in Children. CogSci 2017 - [c146]Marta Kryven, Tomer D. Ullman, William Cowan, Josh Tenenbaum:
Thinking and Guessing: Bayesian and Empirical Models of How Humans Search. CogSci 2017 - [c145]Julia A. Leonard, Max Kleiman-Weiner, Yuna Lee, Josh Tenenbaum, Laura Schulz:
Preschoolers and Infants Calibrate Persistence from Adult Models. CogSci 2017 - [c144]Shari Liu, Tomer D. Ullman, Josh Tenenbaum, Elizabeth S. Spelke:
What's worth the effort: Ten-month-old infants infer the value of goals from the costs of actions. CogSci 2017 - [c143]Rachel Magid, Max H. Siegel, Josh Tenenbaum, Laura Schulz:
Intuitive psychophysics: Children's exploratory play quantitatively tracks the discriminability of alternative hypotheses. CogSci 2017 - [c142]John C. Trueswell, Linda B. Smith, Josh Tenenbaum, Charles Yang:
Big Data and Little Learners. CogSci 2017 - [c141]Joey Velez-Ginorio, Max H. Siegel, Joshua B. Tenenbaum, Julian Jara-Ettinger:
Interpreting actions by attributing compositional desires. CogSci 2017 - [c140]Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum:
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. CogSci 2017 - [c139]Ilker Yildirim, Michael Janner, Mario Belledonne, Christian Wallraven, Winrich Freiwald, Josh Tenenbaum:
Causal and compositional generative models in online perception. CogSci 2017 - [c138]Ilker Yildirim, Josh Tenenbaum:
Workshop proposal: Deep Learning in Computational Cognitive Science. CogSci 2017 - [c137]Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas D. Kulkarni, Joshua B. Tenenbaum:
Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks. CVPR 2017: 2511-2519 - [c136]Jiajun Wu, Joshua B. Tenenbaum, Pushmeet Kohli:
Neural Scene De-rendering. CVPR 2017: 7035-7043 - [c135]Zhoutong Zhang, Jiajun Wu, Qiujia Li, Zhengjia Huang, James Traer, Josh H. McDermott, Joshua B. Tenenbaum, William T. Freeman:
Generative Modeling of Audible Shapes for Object Perception. ICCV 2017: 1260-1269 - [c134]Michael Chang, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum:
A Compositional Object-Based Approach to Learning Physical Dynamics. ICLR (Poster) 2017 - [c133]Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, Josh Tenenbaum:
Learning to See Physics via Visual De-animation. NIPS 2017: 153-164 - [c132]Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, Bill Freeman, Josh Tenenbaum:
MarrNet: 3D Shape Reconstruction via 2.5D Sketches. NIPS 2017: 540-550 - [c131]Zhoutong Zhang, Qiujia Li, Zhengjia Huang, Jiajun Wu, Josh Tenenbaum, Bill Freeman:
Shape and Material from Sound. NIPS 2017: 1278-1288 - [c130]Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Josh Tenenbaum:
Self-Supervised Intrinsic Image Decomposition. NIPS 2017: 5936-5946 - [i32]Vlad Firoiu, William F. Whitney, Joshua B. Tenenbaum:
Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning. CoRR abs/1702.06230 (2017) - [i31]Ilker Yildirim, Tobias Gerstenberg, Basil Saeed, Marc Toussaint, Josh Tenenbaum:
Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints. CoRR abs/1707.08212 (2017) - [i30]Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, Joshua B. Tenenbaum:
Learning to Infer Graphics Programs from Hand-Drawn Images. CoRR abs/1707.09627 (2017) - [i29]Andres Campero, Bjarke Felbo, Joshua B. Tenenbaum, Rebecca Saxe:
A First Step in Combining Cognitive Event Features and Natural Language Representations to Predict Emotions. CoRR abs/1710.08048 (2017) - [i28]Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T. Freeman, Joshua B. Tenenbaum:
MarrNet: 3D Shape Reconstruction via 2.5D Sketches. CoRR abs/1711.03129 (2017) - [i27]Michael Janner, Jiajun Wu, Tejas D. Kulkarni, Ilker Yildirim, Joshua B. Tenenbaum:
Self-Supervised Intrinsic Image Decomposition. CoRR abs/1711.03678 (2017) - 2016
- [j16]Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum:
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data. J. Mach. Learn. Res. 17: 138:1-138:49 (2016) - [c129]Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum:
Modeling Human Ad Hoc Coordination. AAAI 2016: 3740-3746 - [c128]Ryo Nakahashi, Chris L. Baker, Joshua B. Tenenbaum:
Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model. AAAI 2016: 3754-3760 - [c127]Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, William T. Freeman:
Physics 101: Learning Physical Object Properties from Unlabeled Videos. BMVC 2016 - [c126]Kelsey R. Allen, Ilker Yildirim, Josh Tenenbaum:
Integrating identification and perception: A case study of familiar and unfamiliar face processing. CogSci 2016 - [c125]Neil Bramley, Tobias Gerstenberg, Joshua B. Tenenbaum:
Natural science: Active learning in dynamic physical microworlds. CogSci 2016 - [c124]Tobias Gerstenberg, Josh Tenenbaum:
Understanding "almost": Empirical and computational studies of near misses. CogSci 2016 - [c123]Mark K. Ho, James MacGlashan, Amy Greenwald, Michael L. Littman, Elizabeth Hilliard, Carl Trimbach, Stephen Brawner, Josh Tenenbaum, Max Kleiman-Weiner, Joseph L. Austerweil:
Feature-based Joint Planning and Norm Learning in Collaborative Games. CogSci 2016 - [c122]Julian Jara-Ettinger, Felix Sun, Laura Schulz, Josh Tenenbaum:
The Naïve Utility Calculus unifies spatial and statistical routes to preference. CogSci 2016 - [c121]Max Kleiman-Weiner, Mark K. Ho, Joseph L. Austerweil, Michael L. Littman, Josh Tenenbaum:
Coordinate to cooperate or compete: Abstract goals and joint intentions in social interaction. CogSci 2016 - [c120]Marta Kryven, Tomer D. Ullman, William Cowan, Josh Tenenbaum:
Outcome or Strategy? A Bayesian Model of Intelligence Attribution. CogSci 2016 - [c119]Tomer D. Ullman, Max H. Siegel, Josh Tenenbaum, Samuel Gershman:
Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension. CogSci 2016 - [c118]Ilker Yildirim, Max H. Siegel, Josh Tenenbaum:
Integrating physical reasoning and visual object recognition for fully occluded scene interpretation. CogSci 2016 - [c117]Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. CogSci 2016 - [c116]Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
Single Image 3D Interpreter Network. ECCV (6) 2016: 365-382 - [c115]Steven Holtzen, Yibiao Zhao, Tao Gao, Joshua B. Tenenbaum, Song-Chun Zhu:
Inferring human intent from video by sampling hierarchical plans. IROS 2016: 1489-1496 - [c114]Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, Josh Tenenbaum:
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. NIPS 2016: 82-90 - [c113]Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum:
Sampling for Bayesian Program Learning. NIPS 2016: 1289-1297 - [c112]Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Josh Tenenbaum:
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. NIPS 2016: 3675-3683 - [c111]Eric Schulz, Josh Tenenbaum, David Duvenaud, Maarten Speekenbrink, Samuel J. Gershman:
Probing the Compositionality of Intuitive Functions. NIPS 2016: 3729-3737 - [i26]Peter M. Krafft, Chris L. Baker, Alex Pentland, Joshua B. Tenenbaum:
Modeling Human Ad Hoc Coordination. CoRR abs/1602.03924 (2016) - [i25]William F. Whitney, Michael Chang, Tejas D. Kulkarni, Joshua B. Tenenbaum:
Understanding Visual Concepts with Continuation Learning. CoRR abs/1602.06822 (2016) - [i24]Brenden M. Lake, Tomer D. Ullman, Joshua B. Tenenbaum, Samuel J. Gershman:
Building Machines That Learn and Think Like People. CoRR abs/1604.00289 (2016) - [i23]Tejas D. Kulkarni, Karthik Narasimhan, Ardavan Saeedi, Joshua B. Tenenbaum:
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. CoRR abs/1604.06057 (2016) - [i22]Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman:
Single Image 3D Interpreter Network. CoRR abs/1604.08685 (2016) - [i21]Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. CoRR abs/1605.01138 (2016) - [i20]Peter M. Krafft, Julia Zheng, Wei Pan, Nicolás Della Penna, Yaniv Altshuler, Erez Shmueli, Joshua B. Tenenbaum, Alex Pentland:
Human collective intelligence as distributed Bayesian inference. CoRR abs/1608.01987 (2016) - [i19]Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum:
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. CoRR abs/1610.07584 (2016) - [i18]Brenden M. Lake, Neil D. Lawrence, Joshua B. Tenenbaum:
The Emergence of Organizing Structure in Conceptual Representation. CoRR abs/1611.09384 (2016) - [i17]Daniel Harari, Tao Gao, Nancy Kanwisher, Joshua B. Tenenbaum, Shimon Ullman:
Measuring and modeling the perception of natural and unconstrained gaze in humans and machines. CoRR abs/1611.09819 (2016) - [i16]Michael B. Chang, Tomer D. Ullman, Antonio Torralba, Joshua B. Tenenbaum:
A Compositional Object-Based Approach to Learning Physical Dynamics. CoRR abs/1612.00341 (2016) - 2015
- [c110]Eyal Dechter, Joshua S. Rule, Joshua B. Tenenbaum:
Latent Predicate Networks: Concept Learning with Probabilistic Context-Sensitive Grammars. AAAI Spring Symposia 2015 - [c109]Kevin Ellis, Eyal Dechter, Joshua B. Tenenbaum:
Dimensionality Reduction via Program Induction. AAAI Spring Symposia 2015 - [c108]Kelsey R. Allen, Julian Jara-Ettinger, Tobias Gerstenberg, Max Kleiman-Weiner, Joshua B. Tenenbaum:
Go fishing! Responsibility judgments when cooperation breaks down. CogSci 2015 - [c107]Christopher Bates, Peter W. Battaglia, Ilker Yildirim, Joshua B. Tenenbaum:
Humans predict liquid dynamics using probabilistic simulation. CogSci 2015 - [c106]Samuel Gershman, Joshua B. Tenenbaum:
Phrase similarity in humans and machines. CogSci 2015 - [c105]Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum:
How, whether, why: Causal judgments as counterfactual contrasts. CogSci 2015 - [c104]Tobias Gerstenberg, Joseph Y. Halpern, Joshua B. Tenenbaum:
Responsibility judgments in voting scenarios. CogSci 2015 - [c103]Joshua K. Hartshorne, Joshua B. Tenenbaum:
Language & common sense: Integrating across psychology, linguistics, and computer science. CogSci 2015 - [c102]Julian Jara-Ettinger, Emily Lydic, Joshua B. Tenenbaum, Laura Schulz:
Beliefs about desires: Children's understanding of how knowledge and preference influence choice. CogSci 2015 - [c101]Julian Jara-Ettinger, Laura Schulz, Joshua B. Tenenbaum:
The naïve utility calculus: Joint inferences about the costs and rewards of actions. CogSci 2015 - [c100]Max Kleiman-Weiner, Tobias Gerstenberg, Sydney Levine, Joshua B. Tenenbaum:
Inference of Intention and Permissibility in Moral Decision Making. CogSci 2015 - [c99]Peter M. Krafft, Robert X. D. Hawkins, Alex Pentland, Noah D. Goodman, Joshua B. Tenenbaum:
Emergent Collective Sensing in Human Groups. CogSci 2015 - [c98]Joshua S. Rule, Eyal Dechter, Joshua B. Tenenbaum:
Representing and Learning a Large System of Number Concepts with Latent Predicate Networks. CogSci 2015 - [c97]Eric Schulz, Joshua B. Tenenbaum, David N. Reshef, Maarten Speekenbrink, Samuel Gershman:
Assessing the Perceived Predictability of Functions. CogSci 2015 - [c96]Pedro Tsividis, Joshua B. Tenenbaum, Laura Schulz:
Hypothesis-Space Constraints in Causal Learning. CogSci 2015 - [c95]Yang Wu, Chris L. Baker, Josh Tenenbaum, Laura Schulz:
Children's ability to infer beliefs and desires from emotional reactions. CogSci 2015 - [c94]Ilker Yildirim, Tejas D. Kulkarni, Winrich Freiwald, Joshua B. Tenenbaum:
Efficient analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations. CogSci 2015 - [c93]Tejas D. Kulkarni, Pushmeet Kohli, Joshua B. Tenenbaum, Vikash Mansinghka:
Picture: A probabilistic programming language for scene perception. CVPR 2015: 4390-4399 - [c92]Jonathan H. Huggins, Joshua B. Tenenbaum:
Risk and Regret of Hierarchical Bayesian Learners. ICML 2015: 1442-1451 - [c91]Jiajun Wu, Ilker Yildirim, Joseph J. Lim, Bill Freeman, Joshua B. Tenenbaum:
Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning. NIPS 2015: 127-135 - [c90]Kevin Ellis, Armando Solar-Lezama, Joshua B. Tenenbaum:
Unsupervised Learning by Program Synthesis. NIPS 2015: 973-981 - [c89]Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli, Joshua B. Tenenbaum:
Deep Convolutional Inverse Graphics Network. NIPS 2015: 2539-2547 - [c88]Mathew Monfort, Brenden M. Lake, Brian D. Ziebart, Patrick Lucey, Joshua B. Tenenbaum:
Softstar: Heuristic-Guided Probabilistic Inference. NIPS 2015: 2764-2772 - [i15]Tejas D. Kulkarni, Will Whitney, Pushmeet Kohli, Joshua B. Tenenbaum:
Deep Convolutional Inverse Graphics Network. CoRR abs/1503.03167 (2015) - [i14]Jonathan H. Huggins, Joshua B. Tenenbaum:
Risk and Regret of Hierarchical Bayesian Learners. CoRR abs/1505.04984 (2015) - [i13]Ryo Nakahashi, Chris L. Baker, Joshua B. Tenenbaum:
Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model. CoRR abs/1512.00964 (2015) - [i12]Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum:
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data. CoRR abs/1512.01272 (2015) - 2014
- [j15]Edward Vul, Noah D. Goodman, Thomas L. Griffiths, Joshua B. Tenenbaum:
One and Done? Optimal Decisions From Very Few Samples. Cogn. Sci. 38(4): 599-637 (2014) - [c87]James Robert Lloyd, David Duvenaud, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani:
Automatic Construction and Natural-Language Description of Nonparametric Regression Models. AAAI 2014: 1242-1250 - [c86]Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum:
From counterfactual simulation to causal judgment. CogSci 2014 - [c85]Tobias Gerstenberg, Tomer D. Ullman, Max Kleiman-Weiner, David A. Lagnado, Joshua B. Tenenbaum:
Wins above replacement: Responsibility attributions as counterfactual replacements. CogSci 2014 - [c84]Noah D. Goodman, Joshua B. Tenenbaum:
Probability, programs, and the mind: Building structured Bayesian models of cognition. CogSci 2014 - [c83]Julian Jara-Ettinger, Hyowon Gweon, Joshua B. Tenenbaum, Laura Schulz:
I'd do anything for a cookie (but I won't do that): Children's understanding of the costs and rewards underlying rational action. CogSci 2014 - [c82]Brenden M. Lake, Chia-ying Lee, James R. Glass, Joshua B. Tenenbaum:
One-shot learning of generative speech concepts. CogSci 2014 - [c81]Brenden M. Lake, Josh Tenenbaum:
Computational Creativity: Generating new objects with a hierarchical Bayesian model. CogSci 2014 - [c80]Owen Lewis, Santiago Perez, Joshua B. Tenenbaum:
Error-Driven Stochastic Search for Theories and Concepts. CogSci 2014 - [c79]Max H. Siegel, Rachel Magid, Joshua B. Tenenbaum, Laura Schulz:
Black boxes: Hypothesis testing via indirect perceptual evidence. CogSci 2014 - [c78]Pedro Tsividis, Samuel Gershman, Joshua B. Tenenbaum, Laura Schulz:
Information Selection in Noisy Environments with Large Action Spaces. CogSci 2014 - [c77]Tomer D. Ullman, Andreas Stuhlmüller, Noah D. Goodman, Joshua B. Tenenbaum:
Learning physical theories from dynamical scenes. CogSci 2014 - [c76]Yang Wu, Chris L. Baker, Joshua B. Tenenbaum, Laura Schulz:
Joint inferences of belief and desire from facial expressions. CogSci 2014 - [c75]Dianhuan Lin, Eyal Dechter, Kevin Ellis, Joshua B. Tenenbaum, Stephen H. Muggleton:
Bias reformulation for one-shot function induction. ECAI 2014: 525-530 - [p1]Cameron E. Freer, Daniel M. Roy, Joshua B. Tenenbaum:
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence. Turing's Legacy 2014: 195-252 - [i11]James Robert Lloyd, David Duvenaud, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani:
Automatic Construction and Natural-Language Description of Nonparametric Regression Models. CoRR abs/1402.4304 (2014) - [i10]Peter M. Krafft, Julia Zheng, Erez Shmueli, Nicolás Della Penna, Joshua B. Tenenbaum, Sandy Pentland:
Popularity and Performance: A Large-Scale Study. CoRR abs/1406.7729 (2014) - [i9]Tejas D. Kulkarni, Vikash K. Mansinghka, Pushmeet Kohli, Joshua B. Tenenbaum:
Inverse Graphics with Probabilistic CAD Models. CoRR abs/1407.1339 (2014) - [i8]Tao Gao, Daniel Harari, Joshua B. Tenenbaum, Shimon Ullman:
When Computer Vision Gazes at Cognition. CoRR abs/1412.2672 (2014) - 2013
- [j14]Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio Torralba:
Learning with Hierarchical-Deep Models. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1958-1971 (2013) - [c74]Samuel Gershman, Frank Jäkel, Joshua B. Tenenbaum:
Bayesian vector analysis and the perception of hierarchical motion. CogSci 2013 - [c73]Samuel Gershman, Joshua B. Tenenbaum, Alexandre Pouget, Matthew M. Botvinick, Peter Dayan:
Structured cognitive representations and complex inference in neural systems. CogSci 2013 - [c72]Jessica B. Hamrick, Peter W. Battaglia, Thomas L. Griffiths, Joshua B. Tenenbaum:
Inferring mass in complex physical scenes via probabilistic simulation. CogSci 2013 - [c71]Julian Jara-Ettinger, Joshua B. Tenenbaum, Laura Schulz:
Not so innocent: Reasoning about costs, competence, and culpability in very early childhood. CogSci 2013 - [c70]Kevin A. Smith, Eyal Dechter, Joshua B. Tenenbaum, Edward Vul:
Physical predictions over time. CogSci 2013 - [c69]Tomer D. Ullman, Joshua B. Tenenbaum, Noah D. Goodman, Shimon Ullman, Elizabeth S. Spelke:
Minimal Nativism: How does cognitive development get off the ground? CogSci 2013 - [c68]David Duvenaud, James Robert Lloyd, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani:
Structure Discovery in Nonparametric Regression through Compositional Kernel Search. ICML (3) 2013: 1166-1174 - [c67]Eyal Dechter, Jonathan Malmaud, Ryan P. Adams, Joshua B. Tenenbaum:
Bootstrap Learning via Modular Concept Discovery. IJCAI 2013: 1302-1309 - [c66]Vikash K. Mansinghka, Tejas D. Kulkarni, Yura N. Perov, Joshua B. Tenenbaum:
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs. NIPS 2013: 1520-1528 - [c65]Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum:
One-shot learning by inverting a compositional causal process. NIPS 2013: 2526-2534 - [i7]David Duvenaud, James Robert Lloyd, Roger B. Grosse, Joshua B. Tenenbaum, Zoubin Ghahramani:
Structure Discovery in Nonparametric Regression through Compositional Kernel Search. CoRR abs/1302.4922 (2013) - [i6]Vikash K. Mansinghka, Tejas D. Kulkarni, Yura N. Perov, Joshua B. Tenenbaum:
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs. CoRR abs/1307.0060 (2013) - 2012
- [j13]Samuel Gershman, Edward Vul, Joshua B. Tenenbaum:
Multistability and Perceptual Inference. Neural Comput. 24(1): 1-24 (2012) - [c64]Peter W. Battaglia, Tomer D. Ullman, Joshua B. Tenenbaum, Adam Sanborn, Kenneth D. Forbus, Tobias Gerstenberg, David A. Lagnado:
Computational Models of Intuitive Physics. CogSci 2012 - [c63]Tobias Gerstenberg, Noah D. Goodman, David A. Lagnado, Joshua B. Tenenbaum:
Noisy Newtons: Unifying process and dependency accounts of causal attribution. CogSci 2012 - [c62]Noah D. Goodman, Joshua B. Tenenbaum:
Probability, programs, and the mind: Building structured Bayesian models of cognition. CogSci 2012 - [c61]Hyowon Gweon, Patrick Shafto, Joshua B. Tenenbaum, Laura Schulz:
Children's sensitivity to informant's inductive efficiency and learner's epistemic states in pedagogical contexts. CogSci 2012 - [c60]Julian Jara-Ettinger, Chris L. Baker, Joshua B. Tenenbaum:
Learning What is Where from Social Observations. CogSci 2012 - [c59]Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum:
Concept learning as motor program induction: A large-scale empirical study. CogSci 2012 - [c58]Jonathan Malmaud, Joshua B. Tenenbaum, Peter Dayan, Laurence T. Maloney, Edward Vul, Nick Chater:
Computational, Cognitive, and Neural Models of Decision-making Biases. CogSci 2012 - [c57]John McCoy, Tomer D. Ullman, Andreas Stuhlmüller, Tobias Gerstenberg, Joshua B. Tenenbaum:
Probabilistic generative models for counterfactual reasoning and blame attribution. CogSci 2012 - [c56]Ting Qian, Patricia Reeder, Richard N. Aslin, Joshua B. Tenenbaum, Elissa L. Newport:
Exploring the Role of Representation in Models of Grammatical Category Acquisition. CogSci 2012 - [c55]Hilary Richardson, Chris L. Baker, Joshua B. Tenenbaum, Rebecca Saxe:
The Development of Joint Belief-Desire Inferences. CogSci 2012 - [c54]Barbara Tversky, Shimon Ullman, Dare A. Baldwin, Frank E. Pollick, Joshua B. Tenenbaum, Tao Gao, Peter C. Pantelis, David Pautler:
Modeling the Perception of Intentions. CogSci 2012 - [c53]Elizabeth Bonawitz, Tomer D. Ullman, Alison Gopnik, Joshua B. Tenenbaum:
Sticking to the Evidence? A computational and behavioral case study of micro-theory change in the domain of magnetism. ICDL-EPIROB 2012: 1-6 - [c52]Roger B. Grosse, Ruslan Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum:
Exploiting compositionality to explore a large space of model structures. UAI 2012: 306-315 - [c51]Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio Torralba:
One-Shot Learning with a Hierarchical Nonparametric Bayesian Model. ICML Unsupervised and Transfer Learning 2012: 195-206 - [i5]David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum:
The Infinite Latent Events Model. CoRR abs/1205.2604 (2012) - [i4]Noah D. Goodman, Vikash Mansinghka, Daniel M. Roy, Kallista A. Bonawitz, Joshua B. Tenenbaum:
Church: a language for generative models. CoRR abs/1206.3255 (2012) - [i3]Vikash Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum:
Structured Priors for Structure Learning. CoRR abs/1206.6852 (2012) - [i2]Roger B. Grosse, Ruslan Salakhutdinov, William T. Freeman, Joshua B. Tenenbaum:
Exploiting compositionality to explore a large space of model structures. CoRR abs/1210.4856 (2012) - [i1]Cameron E. Freer, Daniel M. Roy, Joshua B. Tenenbaum:
Towards common-sense reasoning via conditional simulation: legacies of Turing in Artificial Intelligence. CoRR abs/1212.4799 (2012) - 2011
- [j12]Thomas L. Griffiths, David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik:
Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults. Cogn. Sci. 35(8): 1407-1455 (2011) - [c50]Chris L. Baker, Rebecca Saxe, Joshua B. Tenenbaum:
Bayesian Theory of Mind: Modeling Joint Belief-Desire Attribution. CogSci 2011 - [c49]Jessica B. Hamrick, Peter W. Battaglia, Joshua B. Tenenbaum:
Probabilistic internal physics models guide judgments about object dynamics. CogSci 2011 - [c48]Brenden M. Lake, Ruslan Salakhutdinov, Jason Gross, Joshua B. Tenenbaum:
One shot learning of simple visual concepts. CogSci 2011 - [c47]Timothy O'Donnell, Jesse Snedeker, Joshua B. Tenenbaum, Noah D. Goodman:
Productivity and Reuse in Language. CogSci 2011 - [c46]Timothy O'Donnell, Jesse Snedeker, Joshua B. Tenenbaum, Noah D. Goodman:
Productivity and Reuse in Language: a Developmental Study. CogSci 2011 - [c45]Tomer D. Ullman, Noah D. Goodman, Josh Tenenbaum:
Forward Physics: How people learn and generalize novel dynamical models. CogSci 2011 - [c44]Sylvia Yuan, Amy Perfors, Josh Tenenbaum, Fei Xu:
Learning individual words and learning about words simultaneously. CogSci 2011 - [c43]Ruslan Salakhutdinov, Antonio Torralba, Joshua B. Tenenbaum:
Learning to share visual appearance for multiclass object detection. CVPR 2011: 1481-1488 - [c42]Finale Doshi, David Wingate, Joshua B. Tenenbaum, Nicholas Roy:
Infinite Dynamic Bayesian Networks. ICML 2011: 913-920 - [c41]David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum:
Bayesian Policy Search with Policy Priors. IJCAI 2011: 1565-1570 - [c40]Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio Torralba:
Learning to Learn with Compound HD Models. NIPS 2011: 2061-2069 - 2010
- [j11]Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum:
Learning to Learn Causal Models. Cogn. Sci. 34(7): 1185-1243 (2010) - [c39]Finale Doshi-Velez, David Wingate, Nicholas Roy, Joshua B. Tenenbaum:
Nonparametric Bayesian Policy Priors for Reinforcement Learning. NIPS 2010: 532-540 - [c38]Katsuhiko Ishiguro, Tomoharu Iwata, Naonori Ueda, Joshua B. Tenenbaum:
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis. NIPS 2010: 919-927
2000 – 2009
- 2009
- [j10]Stephani Foraker, Terry Regier, Naveen Khetarpal, Amy Perfors, Joshua B. Tenenbaum:
Indirect Evidence and the Poverty of the Stimulus: The Case of Anaphoric One. Cogn. Sci. 33(2): 287-300 (2009) - [c37]Samuel Gershman, Ed Vul, Joshua B. Tenenbaum:
Perceptual Multistability as Markov Chain Monte Carlo Inference. NIPS 2009: 611-619 - [c36]Ilya Sutskever, Ruslan Salakhutdinov, Joshua B. Tenenbaum:
Modelling Relational Data using Bayesian Clustered Tensor Factorization. NIPS 2009: 1821-1828 - [c35]Tomer D. Ullman, Chris L. Baker, Owen Macindoe, Owain Evans, Noah D. Goodman, Joshua B. Tenenbaum:
Help or Hinder: Bayesian Models of Social Goal Inference. NIPS 2009: 1874-1882 - [c34]Ed Vul, Michael C. Frank, George A. Alvarez, Joshua B. Tenenbaum:
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model. NIPS 2009: 1955-1963 - [c33]David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum:
The Infinite Latent Events Model. UAI 2009: 607-614 - [c32]Vikash Mansinghka, Daniel M. Roy, Eric Jonas, Joshua B. Tenenbaum:
Exact and Approximate Sampling by Systematic Stochastic Search. AISTATS 2009: 400-407 - 2008
- [j9]Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman, Thomas L. Griffiths:
A Rational Analysis of Rule-Based Concept Learning. Cogn. Sci. 32(1): 108-154 (2008) - [j8]Charles Kemp, Joshua B. Tenenbaum:
The discovery of structural form. Proc. Natl. Acad. Sci. USA 105(31): 10687-10692 (2008) - [j7]Mike Dowman, Virginia Savova, Thomas L. Griffiths, Konrad P. Körding, Joshua B. Tenenbaum, Matthew Purver:
A Probabilistic Model of Meetings That Combines Words and Discourse Features. IEEE Trans. Speech Audio Process. 16(7): 1238-1248 (2008) - [c31]Joshua B. Tenenbaum:
Building Theories of the World: Human and Machine Learning Perspectives. ILP 2008: 1 - [c30]Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Kallista A. Bonawitz, Joshua B. Tenenbaum:
Church: a language for generative models. UAI 2008: 220-229 - 2007
- [j6]Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum:
Parametric Embedding for Class Visualization. Neural Comput. 19(9): 2536-2556 (2007) - [c29]Michael C. Frank, Noah D. Goodman, Joshua B. Tenenbaum:
A Bayesian Framework for Cross-Situational Word-Learning. NIPS 2007: 457-464 - [c28]Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum:
Learning and using relational theories. NIPS 2007: 753-760 - [c27]Vikash K. Mansinghka, Daniel M. Roy, Ryan Rifkin, Joshua B. Tenenbaum:
AClass: A simple, online, parallelizable algorithm for probabilistic classification. AISTATS 2007: 315-322 - 2006
- [c26]Charles Kemp, Joshua B. Tenenbaum, Thomas L. Griffiths, Takeshi Yamada, Naonori Ueda:
Learning Systems of Concepts with an Infinite Relational Model. AAAI 2006: 381-388 - [c25]Matthew Purver, Konrad P. Körding, Thomas L. Griffiths, Joshua B. Tenenbaum:
Unsupervised Topic Modelling for Multi-Party Spoken Discourse. ACL 2006 - [c24]Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum:
Combining causal and similarity-based reasoning. NIPS 2006: 681-688 - [c23]Konrad P. Körding, Joshua B. Tenenbaum:
Causal inference in sensorimotor integration. NIPS 2006: 737-744 - [c22]Konrad P. Körding, Joshua B. Tenenbaum, Reza Shadmehr:
Multiple timescales and uncertainty in motor adaptation. NIPS 2006: 745-752 - [c21]Daniel M. Roy, Charles Kemp, Vikash Mansinghka, Joshua B. Tenenbaum:
Learning annotated hierarchies from relational data. NIPS 2006: 1185-1192 - [c20]Vikash K. Mansinghka, Charles Kemp, Thomas L. Griffiths, Joshua B. Tenenbaum:
Structured Priors for Structure Learning. UAI 2006 - 2005
- [j5]Mark Steyvers, Joshua B. Tenenbaum:
The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth. Cogn. Sci. 29(1): 41-78 (2005) - [c19]Chris L. Baker, Joshua B. Tenenbaum, Rebecca Saxe:
Bayesian models of human action understanding. NIPS 2005: 99-106 - 2004
- [j4]David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik:
Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers. Cogn. Sci. 28(3): 303-333 (2004) - [c18]Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum:
Integrating Topics and Syntax. NIPS 2004: 537-544 - [c17]Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum:
Parametric Embedding for Class Visualization. NIPS 2004: 617-624 - 2003
- [j3]Mark Steyvers, Joshua B. Tenenbaum, Eric-Jan Wagenmakers, Ben Blum:
Inferring causal networks from observations and interventions. Cogn. Sci. 27(3): 453-489 (2003) - [j2]William T. Freeman, Joshua B. Tenenbaum, Egon C. Pasztor:
Learning style translation for the lines of a drawing. ACM Trans. Graph. 22(1): 33-46 (2003) - [c16]David M. Blei, Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum:
Hierarchical Topic Models and the Nested Chinese Restaurant Process. NIPS 2003: 17-24 - [c15]Charles Kemp, Thomas L. Griffiths, Sean Stromsten, Joshua B. Tenenbaum:
Semi-Supervised Learning with Trees. NIPS 2003: 257-264 - [c14]Thomas L. Griffiths, Joshua B. Tenenbaum:
From Algorithmic to Subjective Randomness. NIPS 2003: 953-960 - 2002
- [c13]Joshua B. Tenenbaum, Thomas L. Griffiths:
Theory-Based Causal Inference. NIPS 2002: 35-42 - [c12]Neville E. Sanjana, Joshua B. Tenenbaum:
Bayesian Models of Inductive Generalization. NIPS 2002: 51-58 - [c11]David Danks, Thomas L. Griffiths, Joshua B. Tenenbaum:
Dynamical Causal Learning. NIPS 2002: 67-74 - [c10]Vin de Silva, Joshua B. Tenenbaum:
Global Versus Local Methods in Nonlinear Dimensionality Reduction. NIPS 2002: 705-712 - 2001
- [c9]Thomas L. Griffiths, Joshua B. Tenenbaum:
Using Vocabulary Knowledge in Bayesian Multinomial Estimation. NIPS 2001: 1385-1392 - 2000
- [j1]Joshua B. Tenenbaum, William T. Freeman:
Separating Style and Content with Bilinear Models. Neural Comput. 12(6): 1247-1283 (2000) - [c8]Joshua B. Tenenbaum, Thomas L. Griffiths:
Structure Learning in Human Causal Induction. NIPS 2000: 59-65
1990 – 1999
- 1999
- [c7]Joshua B. Tenenbaum:
Rules and Similarity in Concept Learning. NIPS 1999: 59-65 - 1998
- [c6]Joshua B. Tenenbaum:
Bayesian Modeling of Human Concept Learning. NIPS 1998: 59-68 - 1997
- [c5]William T. Freeman, Joshua B. Tenenbaum:
Learning bilinear models for two-factor problems in vision. CVPR 1997: 554-560 - [c4]Joshua B. Tenenbaum:
Mapping a Manifold of Perceptual Observations. NIPS 1997: 682-688 - 1996
- [c3]Joshua B. Tenenbaum, William T. Freeman:
Separating Style and Content. NIPS 1996: 662-668 - 1995
- [c2]Joshua B. Tenenbaum:
Learning the Structure of Similarity. NIPS 1995: 3-9 - 1994
- [c1]Joshua B. Tenenbaum, Emanuel Todorov:
Factorial Learning by Clustering Features. NIPS 1994: 561-568
Coauthor Index
Daniel Bear
aka: Daniel M. Bear
aka: Daniel M. Bear
Katie Collins
aka: Katherine M. Collins
aka: Katherine M. Collins
[c459] [i303] [c453] [c451] [c450] [c448] [c447] [c446] [c445] [c444] [c443] [c441] [c432] [i296] [i281] [i279] [i278] [i264] [c414] [c412] [c408] [c406] [c405] [c404] [c402] [c399] [c398] [c393] [c391] [c385] [c383] [i256] [i253] [i247] [i245] [i244] [i236] [i232] [i231] [i225] [i221] [i220] [i216] [i215] [i211] [i206] [c363] [c352] [c351] [c348] [c344] [c339] [c336] [i193] [i183] [i182] [i177] [i175] [i174] [i173] [i166] [i162] [c310] [c306] [c300] [c289] [c286] [c282] [i128] [i127] [i126] [i123] [c261] [i102] [i96] [i94] [i91] [i90] [c165]
William T. Freeman
aka: Bill Freeman
aka: Bill Freeman
[c402] [c387] [i230] [i202] [i174] [c283] [i147] [c259] [c252] [c245] [i108] [i93] [c218] [c217] [c216] [c215] [c213] [c210] [c209] [c203] [i86] [i84] [i79] [i69] [j17] [c175] [c174] [c173] [c172] [c171] [c169] [c167] [c165] [c164] [c163] [i59] [i57] [i49] [i48] [i45] [i44] [i43] [i41] [i37] [i36] [i34] [i33] [c135] [c133] [c132] [c131] [i28] [c127] [c117] [c116] [c114] [i22] [i21] [i19] [c91] [c52] [i2] [j2] [j1] [c5] [c3]
[c447] [c446] [c442] [c440] [c439] [c433] [i296] [i295] [i285] [i284] [i283] [i275] [c412] [c410] [c403] [c401] [c400] [c397] [c386] [c385] [i249] [i246] [i245] [i243] [i242] [i241] [i239] [i227] [i225] [i218] [i206] [c366] [c365] [c364] [c361] [c359] [c358] [c357] [c356] [c355] [c353] [c349] [c345] [c342] [c340] [c339] [c336] [i196] [i195] [i194] [i193] [i191] [i190] [i189] [i186] [i178] [i176] [i175] [i169] [i168] [i167] [c331] [c307] [c305] [c304] [c299] [c297] [c294] [c292] [c288] [c284] [c280] [i158] [i154] [i153] [i152] [i150] [i146] [i134] [i131] [i122] [c257] [c254] [c253] [c252] [c249] [i120] [i114] [i106] [i104] [i101] [i89] [i88] [c212] [c200] [i76] [i67] [i64] [c166] [i39]
Samuel Gershman
aka: Samuel J. Gershman
aka: Samuel J. Gershman
[c456] [c453] [c431] [i290] [i265] [i263] [i260] [c428] [c427] [c415] [c414] [c393] [c389] [i252] [i251] [i250] [i237] [i221] [i220] [i215] [i207] [i205] [c378] [c367] [c343] [c335] [i197] [i179] [c330] [c329] [c301] [c297] [c295] [i156] [i148] [i146] [i136] [c278] [i121] [i99] [i96] [c204] [i78] [i77] [c168] [i50] [i35] [c41]
Roger Levy
aka: Roger P. Levy
aka: Roger P. Levy
Vikash Mansinghka 0001
aka: Vikash K. Mansinghka
aka: Vikash K. Mansinghka
[c451] [c449] [c444] [i287] [i281] [i270] [i267] [i265] [i263] [c428] [c415] [c414] [c390] [c389] [i252] [i251] [i250] [i221] [i217] [i216] [i209] [i207] [i205] [i203] [c355] [c335] [c334] [i199] [i195] [c307] [c297] [c290] [i152] [i146] [c271] [c259] [c245] [i120] [i108] [i93] [i89] [c218] [c212] [c207] [c200] [i76] [i71] [i69]
[c459] [i303] [c455] [c450] [c445] [c439] [c437] [i297] [i289] [i275] [c413] [c408] [c404] [c394] [c384] [c382] [i258] [i254] [i240] [i236] [i231] [i218] [c365] [c364] [c363] [c358] [c345] [c342] [c336] [i193] [i191] [i190] [i182] [i176] [i166] [c302] [c296] [c294] [c288] [c284] [c282] [i153] [i137] [i134] [i126] [i122] [c257] [c254] [c253] [c252] [c251] [i114] [i113] [i104] [i101] [i98] [c217] [c216] [c214] [c205] [i84] [i67] [j17] [c167] [c166] [c164] [i59] [i48] [i42] [i40] [i39] [i37] [i36] [c134] [c116] [i22] [i16] [j14] [c51] [c43] [c40]
Hsiao-Yu Fish Tung
aka: Hsiao-Yu Tung
aka: Hsiao-Yu Tung
[j36] [i270] [j33] [c428] [c414] [c390] [i252] [i221] [i209] [c362] [i199] [i188] [i184] [i169] [c331] [c312] [c310] [c307] [c306] [c297] [c290] [i152] [i146] [c275] [c260] [c259] [c256] [c253] [c252] [c251] [c250] [c249] [c248] [c246] [c245] [i120] [i113] [i109] [i108] [i103] [i102] [i93] [i90] [i89] [i88] [j19] [c224] [c219] [c218] [c215] [c214] [c213] [c212] [c211] [c210] [c209] [c207] [c205] [c204] [c203] [c200] [c199] [c196] [i86] [i80] [i79] [i77] [i76] [i73] [i71] [i69] [i68] [i67] [i66] [i65] [i64] [j17] [c175] [c174] [c173] [c172] [c171] [c169] [c168] [c167] [c166] [c165] [c164] [c163] [c155] [i59] [i57] [i52] [i50] [i49] [i48] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i36] [i34] [i33] [c137] [c136] [c135] [c133] [c132] [c131] [c130] [i28] [i27] [c127] [c117] [c116] [c114] [i22] [i21] [i19] [c91]
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