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Multiple physics pretraining for physical surrogate models, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:2310.02994, (2023)The LSST-DESC 3x2pt Tomography Optimization Challenge, , , , , , , , , and 18 other author(s). (2021)cite arxiv:2108.13418Comment: 30 pages (incl. 12 in appendix), 12 figures.AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models., , , , , , , , , and 4 other author(s). CoRR, (2023)Automating Inference of Binary Microlensing Events with Neural Density Estimation., , , , , and . CoRR, (2020)Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics., , and . AAAI, page 12754-12762. AAAI Press, (2024)pmwd: A Differentiable Cosmological Particle-Mesh $N$-body Library, , , , , , , , , and . (2022)cite arxiv:2211.09958Comment: repo at https://github.com/eelregit/pmwd.Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era, , , , , , , , , and 29 other author(s). (2021)cite arxiv:2110.03769Comment: 46 pages, 33 figures.Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics., , and . CoRR, (2023)Enabling Dark Energy Science with Deep Generative Models of Galaxy Images., , , , and . CoRR, (2016)Real-Time Likelihood-Free Inference of Roman Binary Microlensing Events with Amortized Neural Posterior Estimation., , , , , and . CoRR, (2021)