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Discovering Symbolic Models from Deep Learning with Inductive Biases, , , , , , и . Advances in Neural Information Processing Systems, 33, стр. 17429--17442. Curran Associates, Inc., (2020)$Mangrove$: Learning Galaxy Properties from Merger Trees, , , , , и . (2022)cite arxiv:2210.13473Comment: 15 pages, 9 figures, 3 tables, 10 pages of Appendices. Accepted for publication in ApJ.Multiple physics pretraining for physical surrogate models, , , , , , , , , и 1 other автор(ы). arXiv preprint arXiv:2310.02994, (2023)Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks., , , , , , , и . CoRR, (2022)Mangrove: Learning Galaxy Properties from Merger Trees., , , , , и . CoRR, (2022)Automated discovery of interpretable gravitational-wave population models., и . CoRR, (2022)AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models., , , , , , , , , и 4 other автор(ы). CoRR, (2023)Rediscovering orbital mechanics with machine learning., , , , и . Mach. Learn. Sci. Technol., 4 (4): 45002 (декабря 2023)Predicting the thermal Sunyaev-Zel'dovich field using modular and equivariant set-based neural networks., , , , и . Mach. Learn. Sci. Technol., 3 (3): 35002 (2022)Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter., , , , , , , , , и . CoRR, (2022)