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Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 41 (9): 2236-2250 (2019)CLEVRER: Collision Events for Video Representation and Reasoning., , , , , , and . ICLR, OpenReview.net, (2020)Language-Mediated, Object-Centric Representation Learning., , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 2033-2046. Association for Computational Linguistics, (2021)Synthesizing 3D Shapes via Modeling Multi-view Depth Maps and Silhouettes with Deep Generative Networks., , , , and . CVPR, page 2511-2519. IEEE Computer Society, (2017)Learning 3D Dynamic Scene Representations for Robot Manipulation., , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 126-142. PMLR, (2020)Neural Radiance Flow for 4D View Synthesis and Video Processing., , , , and . CoRR, (2020)Learning Physical Graph Representations from Visual Scenes., , , , , , , , , and 1 other author(s). NeurIPS, (2020)Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations., , , , , , and . NeurIPS, page 8983-8993. (2019)E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance., , , , and . NeurIPS, (2022)Geoclidean: Few-Shot Generalization in Euclidean Geometry., , and . NeurIPS, (2022)