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Cosmology with one galaxy?, , , , , , , , , и 3 other автор(ы). (2022)cite arxiv:2201.02202Comment: 20+6 pages, 15 figures, data and codes to reproduce the results publicly available at https://github.com/franciscovillaescusa/Cosmo1gal.On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling., , , , , , , , и . CoRR, (2024)SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering., , , , , , , , , и 1 other автор(ы). CoRR, (2023)Marginal Bayesian Statistics Using Masked Autoregressive Flows and Kernel Density Estimators with Examples in Cosmology, , , , , и . (2022)cite arxiv:2207.11457Comment: Accepted for presentation at MaxEnt22.Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks., , , , , , , и . CoRR, (2022)Towards equilibrium molecular conformation generation with GFlowNets., , , , , , , , , и . CoRR, (2023)Sampling-Based Accuracy Testing of Posterior Estimators for General Inference., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 19256-19273. PMLR, (2023)LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology., , , , , , , , , и 5 other автор(ы). CoRR, (2024)Direct cosmological inference from three-dimensional correlations of the Lyman-$\alpha$ forest, , , , и . (2022)cite arxiv:2209.11263Comment: Submitted to MNRAS.PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation., , , , и . CoRR, (2024)