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Filters: Author is Kevin A. Smith [Clear All Filters]
AGENT: A Benchmark for Core Psychological Reasoning. Proceedings of the 38th International Conference on Machine Learning (2021).
Meta-strategy learning in physical problem solving: the effect of embodied experience. bioRxiv (2021).
2021.07.08.451333v2.full_.pdf (3.05 MB)

Unsupervised Discovery of 3D Physical Objects. International Conference on Learning Representations (2021). at <https://openreview.net/forum?id=lf7st0bJIA5>
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning. Proceedings of the National Academy of Sciences 201912341 (2020). doi:10.1073/pnas.1912341117
1912341117.full_.pdf (2.15 MB)

Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) (2019). at <http: //physadept.csail.mit.edu/>
ADEPT_NeurIPS.pdf (11.07 MB)

Differentiable physics and stable modes for tool-use and manipulation planning. Robotics: Science and Systems 2018 (2018).
ToussaintEtAl_DiffPhysStable.pdf (1.97 MB)

End-to-end differentiable physics for learning and control. Advances in Neural Information Processing Systems 31 (NIPS 2018) (2018).
7948-end-to-end-differentiable-physics-for-learning-and-control.pdf (794.17 KB)

Faulty Towers: A counterfactual simulation model of physical support. Proceedings of the 39th Annual Conference of the Cognitive Science Society (2017).
Faulty Towers A counterfactual simulation model of physical support, Gerstenberg et al., 2017.pdf (8.75 MB)

Rapid Physical Predictions from Convolutional Neural Networks. Neural Information Processing Systems, Intuitive Physics Workshop (2016). at <http://phys.csail.mit.edu/papers/9.pdf>
Rapid Physical Predictions - NIPS Physics Workshop Poster (1.47 MB)

Abstracts of the 2014 Brains, Minds, and Machines Summer Course. (2014).
CBMM-Memo-024.pdf (2.86 MB)
