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Discovering Symbolic Models from Deep Learning with Inductive Biases, , , , , , and . Advances in Neural Information Processing Systems, 33, page 17429--17442. Curran Associates, Inc., (2020)Learning model-based planning from scratch, , , , , , , , , and . (2017)cite arxiv:1707.06170.GenCast: Diffusion-based ensemble forecasting for medium-range weather, , , , , , , , , and . (2023)GraphCast: Learning skillful medium-range global weather forecasting, , , , , , , , , and 8 other author(s). (2022)cite arxiv:2212.12794Comment: GraphCast code and trained weights are available at: https://github.com/deepmind/graphcast.WeatherBench 2: A benchmark for the next generation of data-driven global weather models., , , , , , , , , and 8 other author(s). CoRR, (2023)Relational inductive biases, deep learning, and graph networks, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:1806.01261, (2018)Visual Interaction Networks: Learning a Physics Simulator from Video., , , , , and . NIPS, page 4539-4547. (2017)Constraint-based graph network simulator., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 18844-18870. PMLR, (2022)Transframer: Arbitrary Frame Prediction with Generative Models., , , , , , and . Trans. Mach. Learn. Res., (2023)Tutorial: Recent Advances in Deep Learning., and . CogSci, cognitivesciencesociety.org, (2017)