Application of Information Technology: The University of Michigan Honest Broker: A Web-based Service for Clinical and Translational Research and Practice. - Andrew D. Boyd; Paul R. Saxman; Dale A. Hunscher; Kevin A. Smith 001; Timothy D. Morris; Michelle Kaston; Frederick Bayoff; Bruce Rogers; Pamela Hayes; Namrata Rajeev; Eva Kline-Rogers; Kim Eagle; et al. (J. Am. Medical Informatics Assoc., 2009)

The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research. - 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; et al. (J. Biomed. Informatics, 2011)

Consistent physics underlying ballistic motion prediction. - Kevin A. Smith 001; Peter W. Battaglia; Edward Vul (CogSci, 2013)

Physical predictions over time. - Kevin A. Smith 001; Eyal Dechter; Joshua B. Tenenbaum; Edward Vul (CogSci, 2013)

Sources of Uncertainty in Intuitive Physics. - Kevin A. Smith 001; Edward Vul (Top. Cogn. Sci., 2013)

Empirical Evidence for Markov Chain Monte Carlo in Memory Search. - David Bourgin; Joshua T. Abbott; Thomas L. Griffiths 001; Kevin A. Smith 001; Ed Vul (CogSci, 2014)

Looking forwards and backwards: Similarities and differences in prediction and retrodiction. - Kevin A. Smith 001; Edward Vul (CogSci, 2014)

Think again? The amount of mental simulation tracks uncertainty in the outcome. - Jessica B. Hamrick; Kevin A. Smith 001; Thomas L. Griffiths 001; Ed Vul (CogSci, 2015)

Prospective uncertainty: The range of possible futures in physical prediction. - Kevin A. Smith 001; Edward Vul (CogSci, 2015)

The 'Fundamental Attribution Error' is rational in an uncertain world. - Drew Walker; Kevin A. Smith 001; Ed Vul (CogSci, 2015)

The Role of Sequential Dependence in Creative Semantic Search. - Kevin A. Smith 001; Edward Vul (Top. Cogn. Sci., 2015)

Simulation and heuristics in flexible tool use. - Kelsey R. Allen; Kevin A. Smith 001; Josh Tenenbaum 001 (CogSci, 2017)

Faulty Towers: A hypothetical simulation model of physical support. - Tobias Gerstenberg; Liang Zhou; Kevin A. Smith 001; Joshua B. Tenenbaum (CogSci, 2017)

Thinking inside the box: Motion prediction in contained spaces uses simulation. - Kevin A. Smith 001; Filipe Peres; Edward Vul; Joshua Tenebaum (CogSci, 2017)

Learning to act by integrating mental simulations and physical experiments. - Ishita Dasgupta 001; Kevin A. Smith 001; Eric Schulz; Josh Tenenbaum 001; Samuel Gershman (CogSci, 2018)

Tiptoeing around it: Inference from absence in potentially offensive speech. - Monica A. Gates; Tess L. Veuthey; Michael Henry Tessler; Kevin A. Smith 001; Tobias Gerstenberg; Laurie Bayet; Josh Tenenbaum 001 (CogSci, 2018)

Strategies and representations in physical inference. - Kevin A. Smith 001; Josh Tenenbaum 001; Erin M. Anderson; Susan J. Hespos; Lance J. Rips; Chaz Firestone; Jessica B. Hamrick (CogSci, 2018)

End-to-End Differentiable Physics for Learning and Control. - Filipe de Avila Belbute-Peres; Kevin A. Smith 001; Kelsey R. Allen; Josh Tenenbaum 001; J. Zico Kolter (NeurIPS, 2018)

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning. - Marc Toussaint; Kelsey R. Allen; Kevin A. Smith 001; Joshua B. Tenenbaum (Robotics: Science and Systems, 2018)

Rapid Trial-and-Error Learning in Physical Problem Solving. - Kelsey R. Allen; Kevin A. Smith 001; Josh Tenenbaum 001 (CogSci, 2019)

Real-time inference of physical properties in dynamic scenes. - Kevin Smith 003; Mario Belledonne; Ilker Yildirim; Jiajun Wu 001; Josh Tenenbaum 001 (CogSci, 2019)

The effects of object motion observations on physical prediction. - Moyuru Yamada; Kevin A. Smith 001; Josh Tenenbaum 001 (CogSci, 2019)

Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Extended Abtract. - Marc Toussaint; Kelsey R. Allen; Kevin A. Smith 001; Joshua B. Tenenbaum (IJCAI, 2019)

Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations. - Kevin Smith 003; Lingjie Mei; Shunyu Yao; Jiajun Wu 001; Elizabeth S. Spelke; Josh Tenenbaum 001; Tomer D. Ullman (NeurIPS, 2019)

The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving. - Kelsey R. Allen; Kevin A. Smith 001; Joshua B. Tenenbaum (CoRR, 2019)

The Origins of Common Sense in Humans and Machines. - Kevin Smith 003; Eliza Kosoy; Alison Gopnik; Deepak Pathak; Alan Fern; Josh Tenenbaum 001; Tomer D. Ullman (CogSci, 2020)

The fine structure of surprise in intuitive physics: when, why, and how much? - Kevin Smith 003; Lingjie Mei; Shunyu Yao; Jiajun Wu 001; Elizabeth S. Spelke; Josh Tenenbaum 001; Tomer D. Ullman (CogSci, 2020)

Abstract strategy learning underlies flexible transfer in physical problem solving. - Kelsey R. Allen; Kevin Smith 003; Ulyana Piterbarg; Robert Chen; Josh Tenenbaum 001 (CogSci, 2020)

Perceiving unseen objects. - Katherine M. Collins; Josh Tenenbaum 001; Kevin Smith 003 (CogSci, 2020)

Towards Human-Level Learning of Complex Physical Puzzles. - Kei Ota; Devesh K. Jha; Diego Romeres; Jeroen van Baar; Kevin A. Smith 001; Takayuki Semitsu; Tomoaki Oiki; Alan Sullivan; Daniel Nikovski; Joshua B. Tenenbaum (CoRR, 2020)

Meta-strategy learning in physical problem-solving: the effect of embodied experience. - Kelsey R. Allen; Kevin A. Smith 001; Laura-Ashleigh Bird; Josh Tenenbaum 001; Tamar R. Makin; Dorothy Cowie (CogSci, 2021)

Unsupervised Discovery of 3D Physical Objects from Video. - Yilun Du; Kevin A. Smith 001; Tomer D. Ullman; Joshua B. Tenenbaum; Jiajun Wu 001 (ICLR, 2021)

AGENT: A Benchmark for Core Psychological Reasoning. - Tianmin Shu; Abhishek Bhandwaldar; Chuang Gan 001; Kevin A. Smith 001; Shari Liu; Dan Gutfreund; Elizabeth S. Spelke; Joshua B. Tenenbaum; Tomer D. Ullman (ICML, 2021)

Physion: Evaluating Physical Prediction from Vision in Humans and Machines. - Daniel Bear; Elias Wang; Damian Mrowca; Felix J. Binder; Hsiao-Yu Tung; R. T. Pramod; Cameron Holdaway; Sirui Tao; Kevin A. Smith 001; Fan-Yun Sun; Fei-Fei Li 001; Nancy Kanwisher; et al. (NeurIPS Datasets and Benchmarks, 2021)

Physion: Evaluating Physical Prediction from Vision in Humans and Machines. - Daniel M. Bear; Elias Wang; Damian Mrowca; Felix J. Binder; Hsiau-Yu Fish Tung; R. T. Pramod; Cameron Holdaway; Sirui Tao; Kevin A. Smith 001; Fan-Yun Sun; Li Fei-Fei 001; Nancy Kanwisher; et al. (CoRR, 2021)

Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. - Kei Ota; Devesh K. Jha; Diego Romeres; Jeroen van Baar; Kevin A. Smith 001; Takayuki Semitsu; Tomoaki Oiki; Alan Sullivan; Daniel Nikovski; Joshua B. Tenenbaum (IEEE Robotics Autom. Lett., 2021)

"Just In Time" Representations for Mental Simulation in Intuitive Physics. - Tony Chen 003; Kelsey R. Allen; Samuel J. Cheyette; Josh Tenenbaum 001; Kevin A. Smith 001 (CogSci, 2023)

Strategy choice for physical reasoning is (partially) sensitive to cognitive costs. - Thomas Ngo; Samuel J. Cheyette; Josh Tenenbaum 001; Kevin A. Smith 001 (CogSci, 2023)

Are Deep Neural Networks SMARTer Than Second Graders? - Anoop Cherian; Kuan-Chuan Peng; Suhas Lohit; Kevin A. Smith 001; Joshua B. Tenenbaum (CVPR, 2023)

H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. - Kei Ota; Hsiao-Yu Tung; Kevin A. Smith 001; Anoop Cherian; Tim K. Marks; Alan Sullivan; Asako Kanezaki; Joshua B. Tenenbaum (ICRA, 2023)

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. - Hsiao-Yu Tung; Mingyu Ding; Zhenfang Chen; Daniel Bear; Chuang Gan 001; Josh Tenenbaum 001; Dan Yamins; Judith E. Fan; Kevin A. Smith 001 (NeurIPS, 2023)

Counterfactual World Modeling for Physical Dynamics Understanding. - 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 001; Judith E. Fan; Daniel L. K. Yamins (CoRR, 2023)

Understanding Physical Dynamics with Counterfactual World Modeling. - 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 001; Judith E. Fan; Daniel L. K. Yamins (ECCV (24), 2024)

Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads. - Anoop Cherian; Kuan-Chuan Peng; Suhas Lohit; Joanna Matthiesen; Kevin A. Smith 001; Josh Tenenbaum 001 (NeurIPS, 2024)