Kevin A. Smith

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 30

Top Topics

Bdi Architecture

Empirical Evidence

Scene Understanding

Markov Chain Monte Carlo

Top Venues

IEEE Robotics Autom. Lett.

Publications

Rahul Venkatesh, Honglin Chen, Kevin T. Feigelis, Daniel M. Bear, Khaled Jedoui, Klemen Kotar, Felix Binder, Wanhee Lee, Sherry Liu, Kevin A. Smith, Judith E. Fan, Daniel L. K. Yamins
Counterfactual World Modeling for Physical Dynamics Understanding. CoRR (2023)
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 (2023)
Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith E. Fan, Kevin A. Smith
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. NeurIPS (2023)
Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum
Are Deep Neural Networks SMARTer Than Second Graders? CVPR (2023)
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)
Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Kevin A. Smith, Joshua B. Tenenbaum
Are Deep Neural Networks SMARTer than Second Graders? CoRR (2022)
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 (2022)
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 (2021)
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) (2021)
Yilun Du, Kevin A. Smith, Tomer Ullman, Joshua B. Tenenbaum, Jiajun Wu
Unsupervised Discovery of 3D Physical Objects from Video. ICLR (2021)
Daniel Bear, Elias Wang, Damian Mrowca, Felix J. Binder, Hsiao-Yu Tung, R. T. Pramod, Cameron Holdaway, Sirui Tao, Kevin A. Smith, Fan-Yun Sun, Fei-Fei Li, Nancy Kanwisher, Josh Tenenbaum, Dan Yamins, Judith E. Fan
Physion: Evaluating Physical Prediction from Vision in Humans and Machines. NeurIPS Datasets and Benchmarks (2021)
Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin A. Smith, Shari Liu, Dan Gutfreund, Elizabeth S. Spelke, Joshua B. Tenenbaum, Tomer Ullman
AGENT: A Benchmark for Core Psychological Reasoning. ICML (2021)
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 (2021)
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 (2020)
Kelsey R. Allen, Kevin A. Smith, Joshua B. Tenenbaum
The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. CoRR (2019)
Moyuru Yamada, Kevin A. Smith, Josh Tenenbaum
The effects of object motion observations on physical prediction. CogSci (2019)
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)
Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum
Rapid Trial-and-Error Learning in Physical Problem Solving. CogSci (2019)
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)
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)
Kevin A. Smith, Josh Tenenbaum, Erin Anderson, Susan J. Hespos, Lance J. Rips, Chaz Firestone, Jessica B. Hamrick
Strategies and representations in physical inference. CogSci (2018)
Ishita Dasgupta, Kevin A. Smith, Eric Schulz, Josh Tenenbaum, Samuel Gershman
Learning to act by integrating mental simulations and physical experiments. CogSci (2018)
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)
Kevin A. Smith, Filipe Peres, Edward Vul, Joshua Tenebaum
Thinking inside the box: Motion prediction in contained spaces uses simulation. CogSci (2017)
Kelsey R. Allen, Kevin A. Smith, Josh Tenenbaum
Simulation and heuristics in flexible tool use. CogSci (2017)
Tobias Gerstenberg, Liang Zhou, Kevin A. Smith, Joshua B. Tenenbaum
Faulty Towers: A hypothetical simulation model of physical support. CogSci (2017)
Kevin A. Smith, Edward Vul
The Role of Sequential Dependence in Creative Semantic Search. Top. Cogn. Sci. 7 (3) (2015)
Drew Walker, Kevin A. Smith, Ed Vul
The 'Fundamental Attribution Error' is rational in an uncertain world. CogSci (2015)
Jessica B. Hamrick, Kevin A. Smith, Thomas L. Griffiths, Ed Vul
Think again? The amount of mental simulation tracks uncertainty in the outcome. CogSci (2015)
Kevin A. Smith, Edward Vul
Prospective uncertainty: The range of possible futures in physical prediction. CogSci (2015)
David Bourgin, Joshua T. Abbott, Thomas L. Griffiths, Kevin A. Smith, Ed Vul
Empirical Evidence for Markov Chain Monte Carlo in Memory Search. CogSci (2014)
Kevin A. Smith, Edward Vul
Looking forwards and backwards: Similarities and differences in prediction and retrodiction. CogSci (2014)
Kevin A. Smith, Eyal Dechter, Joshua B. Tenenbaum, Edward Vul
Physical predictions over time. CogSci (2013)
Kevin A. Smith, Edward Vul
Sources of Uncertainty in Intuitive Physics. Top. Cogn. Sci. 5 (1) (2013)
Kevin A. Smith, Peter W. Battaglia, Edward Vul
Consistent physics underlying ballistic motion prediction. CogSci (2013)
Kevin A. Smith, Edward Vul
Sources of uncertainty in intuitive physics. CogSci (2012)
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
The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research. J. Biomed. Informatics 44 (1) (2011)
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
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. 16 (6) (2009)
Kemp B. Cease, Douglas T. Cox, Brett N. Miller, Kevin A. Smith
A Systems Innovation and Development Framework: The MiCHI SID. AMIA (2000)
Kevin A. Smith
Multi-Processor Based Accident Using PVM. PPSC (1993)