Kevin A. Smith

50 papers A* 8B 25Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	"Just in Time" World Modeling Supports Human Planning and Reasoning. CoRR Tony Chen, Samuel J. Cheyette, Kelsey R. Allen, Joshua B. Tenenbaum, Kevin A. Smith
2025	B	`conf`	Calculating probabilities from imagined possibilities: Limitations in 4-year-olds. CogSci Brian Leahy, Vicente Vivanco, Samuel J. Cheyette, Kevin A. Smith, Lucy J. White, Roman Feiman, Laura Schulz, Joshua B. Tenenbaum
2025	B	`conf`	Ensemble Physics: Perceiving the Mass of Groups of Objects is More Than the Sum of Its Parts. CogSci Vicente Vivanco, Joshua B. Tenenbaum, Vivian C. Paulun, Kevin A. Smith
2025	B	`conf`	From pixels to physics: an image-computable model of physical predictions. CogSci Haoliang Wang, Nishad Gothoskar, Joshua B. Tenenbaum, Kevin A. Smith
2025	B	`conf`	Perception as a Foundation for Common-Sense Theories of the World. CogSci Abdul-Rahim Deeb, Kevin A. Smith, Shari Liu, Judith E. Fan
2025	B	`conf`	Seeing through Occlusion: Uncertainty-aware Joint Physical Tracking and Prediction. CogSci Arijit Dasgupta, Andrew D. Bolton, Vikash Mansinghka, Joshua B. Tenenbaum, Kevin A. Smith
2024	A*	`conf`	Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads. NeurIPS Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin A. Smith, Josh Tenenbaum
2024	B	`conf`	Probabilistic simulation supports generalizable intuitive physics. CogSci Haoliang Wang, Khaled Jedoui, Rahul Mysore Venkatesh, Felix Jedidja Binder, Josh Tenenbaum, Judith E. Fan, Daniel Yamins, Kevin A. Smith
2024	—	`conf`	Understanding Physical Dynamics with Counterfactual World Modeling. ECCV (24) Rahul Mysore Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins
2023	B	`conf`	"Just In Time" Representations for Mental Simulation in Intuitive Physics. CogSci Tony Chen, Kelsey R. Allen, Samuel J. Cheyette, Josh Tenenbaum, Kevin A. Smith
2023	A*	`conf`	Are Deep Neural Networks SMARTer Than Second Graders? CVPR Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum
2023	J	`jnl`	Counterfactual World Modeling for Physical Dynamics Understanding. CoRR Rahul Mysore Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix J. Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins
2023	A*	`conf`	H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. ICRA Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum
2023	A*	`conf`	Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. NeurIPS Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith E. Fan, Kevin A. Smith
2023	J	`jnl`	Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. CoRR Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Joshua B. Tenenbaum, Daniel L. K. Yamins, Judith E. Fan, Kevin A. Smith
2023	B	`conf`	Strategy choice for physical reasoning is (partially) sensitive to cognitive costs. CogSci Thomas Ngo, Samuel J. Cheyette, Josh Tenenbaum, Kevin A. Smith
2022	J	`jnl`	Are Deep Neural Networks SMARTer than Second Graders? CoRR Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum
2022	J	`jnl`	H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. CoRR Kei Ota, Hsiao-Yu Tung, Kevin A. Smith, Anoop Cherian, Tim K. Marks, Alan Sullivan, Asako Kanezaki, Joshua B. Tenenbaum
2021	A*	`conf`	AGENT: A Benchmark for Core Psychological Reasoning. ICML Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
2021	J	`jnl`	AGENT: A Benchmark for Core Psychological Reasoning. CoRR Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer D. Ullman
2021	J	`jnl`	Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2021	B	`conf`	Meta-strategy learning in physical problem-solving: the effect of embodied experience. CogSci Kelsey R. Allen, Kevin A. Smith, Laura-Ashleigh Bird, Josh Tenenbaum, Tamar R. Makin, Dorothy Cowie
2021	—	`conf`	Physion: Evaluating Physical Prediction from Vision in Humans and Machines. NeurIPS Datasets and Benchmarks Daniel Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith E. Fan
2021	J	`jnl`	Physion: Evaluating Physical Prediction from Vision in Humans and Machines. CoRR 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
2021	A*	`conf`	Unsupervised Discovery of 3D Physical Objects from Video. ICLR Yilun Du, Kevin A. Smith, Tomer D. Ullman, Joshua B. Tenenbaum, Jiajun Wu
2020	J	`jnl`	Towards Human-Level Learning of Complex Physical Puzzles. CoRR Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
2019	A*	`conf`	Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. IJCAI Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
2019	B	`conf`	Rapid Trial-and-Error Learning in Physical Problem Solving. CogSci Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum
2019	J	`jnl`	The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. CoRR Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
2019	B	`conf`	The effects of object motion observations on physical prediction. CogSci Moyuru Yamada, Kevin A. Smith, Josh Tenenbaum
2018	—	`conf`	Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. Robotics: Science and Systems Marc Toussaint, Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
2018	A*	`conf`	End-to-End Differentiable Physics for Learning and Control. NeurIPS Filipe de Avila Belbute-Peres, Kevin A. Smith, Kelsey R. Allen, Josh Tenenbaum, J. Zico Kolter
2018	B	`conf`	Learning to act by integrating mental simulations and physical experiments. CogSci Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman
2018	B	`conf`	Strategies and representations in physical inference. CogSci Kevin A. Smith, Josh Tenenbaum, Erin M. Anderson, Susan J. Hespos, Lance J. Rips, Chaz Firestone, Jessica B. Hamrick
2018	B	`conf`	Tiptoeing around it: Inference from absence in potentially offensive speech. CogSci Monica A. Gates, Tess L. Veuthey, Michael Henry Tessler, Kevin A. Smith, Tobias Gerstenberg, Laurie Bayet, Josh Tenenbaum
2017	B	`conf`	Faulty Towers: A hypothetical simulation model of physical support. CogSci Tobias Gerstenberg, Liang Zhou, Kevin A. Smith, Joshua B. Tenenbaum
2017	B	`conf`	Simulation and heuristics in flexible tool use. CogSci Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum
2017	B	`conf`	Thinking inside the box: Motion prediction in contained spaces uses simulation. CogSci Kevin A. Smith, Filipe Peres, Edward Vul, Joshua Tenebaum
2015	B	`conf`	Prospective uncertainty: The range of possible futures in physical prediction. CogSci Kevin A. Smith, Edward Vul
2015	B	`conf`	The 'Fundamental Attribution Error' is rational in an uncertain world. CogSci Drew Walker, Kevin A. Smith, Ed Vul
2015	J	`jnl`	The Role of Sequential Dependence in Creative Semantic Search. Top. Cogn. Sci. Kevin A. Smith, Edward Vul
2015	B	`conf`	Think again? The amount of mental simulation tracks uncertainty in the outcome. CogSci Jessica B. Hamrick, Kevin A. Smith, Thomas L. Griffiths, Ed Vul
2014	B	`conf`	Empirical Evidence for Markov Chain Monte Carlo in Memory Search. CogSci David Bourgin, Joshua T. Abbott, Thomas L. Griffiths, Kevin A. Smith, Ed Vul
2014	B	`conf`	Looking forwards and backwards: Similarities and differences in prediction and retrodiction. CogSci Kevin A. Smith, Edward Vul
2013	B	`conf`	Consistent physics underlying ballistic motion prediction. CogSci Kevin A. Smith, Peter W. Battaglia, Edward Vul
2013	B	`conf`	Physical predictions over time. CogSci Kevin A. Smith, Eyal Dechter, Joshua B. Tenenbaum, Edward Vul
2013	J	`jnl`	Sources of Uncertainty in Intuitive Physics. Top. Cogn. Sci. Kevin A. Smith, Edward Vul
2012	B	`conf`	Sources of uncertainty in intuitive physics. CogSci Kevin A. Smith, Edward Vul
2011	J	`jnl`	The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research. J. Biomed. Informatics Jessica D. Tenenbaum, Patricia L. Whetzel, Kent Anderson, Charles D. Borromeo, Ivo D. Dinov, Davera Gabriel, Beth A. Kirschner, Barbara Mirel, Timothy D. Morris, Natasha Fridman Noy, Csongor Nyulas, David Rubenson, Paul R. Saxman, Harpreet Singh, Nancy Whelan, Zach Wright, Brian D. Athey, Michael J. Becich, Geoffrey S. Ginsburg, Mark A. Musen, Kevin A. Smith, Alice F. Tarantal, Daniel L. Rubin, Peter Lyster
2009	J	`jnl`	Application of Information Technology: The University of Michigan Honest Broker: A Web-based Service for Clinical and Translational Research and Practice. J. Am. Medical Informatics Assoc. Andrew D. Boyd, Paul R. Saxman, Dale A. Hunscher, Kevin A. Smith, Timothy D. Morris, Michelle Kaston, Frederick Bayoff, Bruce Rogers, Pamela Hayes, Namrata Rajeev, Eva Kline-Rogers, Kim Eagle, Daniel J. Clauw, John F. Greden, Lee A. Green, Brian D. Athey