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Cosmology with one galaxy?, , , , , , , , , and 3 other author(s). (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.SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering., , , , , , , , , and 1 other author(s). CoRR, (2023)On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling., , , , , , , , and . CoRR, (2024)Marginal Bayesian Statistics Using Masked Autoregressive Flows and Kernel Density Estimators with Examples in Cosmology, , , , , and . (2022)cite arxiv:2207.11457Comment: Accepted for presentation at MaxEnt22.LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology., , , , , , , , , and 5 other author(s). CoRR, (2024)Towards equilibrium molecular conformation generation with GFlowNets., , , , , , , , , and . CoRR, (2023)Sampling-Based Accuracy Testing of Posterior Estimators for General Inference., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 19256-19273. PMLR, (2023)Robust Simulation-Based Inference in Cosmology with Bayesian Neural Networks., , , , , , , and . CoRR, (2022)Improving Gradient-guided Nested Sampling for Posterior Inference., , , , , and . CoRR, (2023)Rediscovering orbital mechanics with machine learning., , , , and . CoRR, (2022)