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Communicating understanding of physical dynamics in natural language.

, , , and . CogSci, cognitivesciencesociety.org, (2022)

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Mapping core similarity among visual objects across image modalities., , , and . SIGGRAPH Posters, page 67:1. ACM, (2014)Physion: Evaluating Physical Prediction from Vision in Humans and Machines., , , , , , , , , and 5 other author(s). NeurIPS Datasets and Benchmarks, (2021)Learning Dense Correspondences between Photos and Sketches., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 22899-22916. PMLR, (2023)Measuring and predicting variation in the interestingness of physical structures., , , , , and . CogSci, cognitivesciencesociety.org, (2021)Learning part-based abstractions for visual object concepts., , and . CogSci, cognitivesciencesociety.org, (2021)Learning to communicate about shared procedural abstractions., , , , and . CogSci, cognitivesciencesociety.org, (2021)Improvised Numerals Rely on 1-to-1 Correspondence., , and . CogSci, cognitivesciencesociety.org, (2021)Communicating Design Intent Using Drawing and Text., , , , and . Creativity & Cognition, page 512-519. ACM, (2024)Physion: Evaluating Physical Prediction from Vision in Humans and Machines., , , , , , , , , and 5 other author(s). CoRR, (2021)Advancing Cognitive Science and AI with Cognitive-AI Benchmarking., , , , , and . CogSci, cognitivesciencesociety.org, (2023)