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Learning Physical Graph Representations from Visual Scenes., , , , , , , , , and 1 other author(s). NeurIPS, (2020)Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs., , , , , , , , , and 4 other author(s). NeurIPS, page 12785-12796. (2019)ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation., , , , , , , , , and 14 other author(s). NeurIPS Datasets and Benchmarks, (2021)Visual Grounding of Learned Physical Models., , , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5927-5936. PMLR, (2020)Task-Driven Convolutional Recurrent Models of the Visual System., , , , , , , and . NeurIPS, page 5295-5306. (2018)Physion: Evaluating Physical Prediction from Vision in Humans and Machines., , , , , , , , , and 5 other author(s). NeurIPS Datasets and Benchmarks, (2021)Unsupervised 3D Scene Representation Learning via Movable Object Inference., , , , , , , and . Trans. Mach. Learn. Res., (2024)Predicting children's and adults' preferences in physical interactions via physics simulation., , , , , , , and . CogSci, cognitivesciencesociety.org, (2021)Measuring and predicting variation in the interestingness of physical structures., , , , , and . CogSci, cognitivesciencesociety.org, (2021)Physion: Evaluating Physical Prediction from Vision in Humans and Machines., , , , , , , , , and 5 other author(s). CoRR, (2021)