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Multiple physics pretraining for physical surrogate models, , , , , , , , , и 1 other автор(ы). arXiv preprint arXiv:2310.02994, (2023)The LSST-DESC 3x2pt Tomography Optimization Challenge, , , , , , , , , и 18 other автор(ы). (2021)cite arxiv:2108.13418Comment: 30 pages (incl. 12 in appendix), 12 figures.Automating Inference of Binary Microlensing Events with Neural Density Estimation., , , , , и . CoRR, (2020)AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models., , , , , , , , , и 4 other автор(ы). CoRR, (2023)pmwd: A Differentiable Cosmological Particle-Mesh $N$-body Library, , , , , , , , , и . (2022)cite arxiv:2211.09958Comment: repo at https://github.com/eelregit/pmwd.Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era, , , , , , , , , и 29 other автор(ы). (2021)cite arxiv:2110.03769Comment: 46 pages, 33 figures.Enabling Dark Energy Science with Deep Generative Models of Galaxy Images., , , , и . CoRR, (2016)Probabilistic Mass Mapping with Neural Score Estimation., , , , , , и . CoRR, (2022)Real-Time Likelihood-Free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation., , , , , и . CoRR, (2021)Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics., , и . CoRR, (2023)