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Uncovering dark matter density profiles in dwarf galaxies with graph neural networks., , , and . CoRR, (2022)Hierarchical Neural Simulation-Based Inference Over Event Ensembles., , , and . CoRR, (2023)Inferring dark matter substructure with astrometric lensing beyond the power spectrum.. Mach. Learn. Sci. Technol., 3 (1): 01 (2022)Edges and Endpoints in 21-cm Observations from Resonant Photon Production, , , , , and . (2020)cite arxiv:2009.03899Comment: 5+6 pages, 3+1 figures.Machine Learning and Cosmology, , , , , , , , , and 1 other author(s). (2022)cite arxiv:2203.08056Comment: Contribution to Snowmass 2021. 32 pages.Strong Lensing Source Reconstruction Using Continuous Neural Fields., and . CoRR, (2022)Data Compression and Inference in Cosmology with Self-Supervised Machine Learning., , and . CoRR, (2023)A neural simulation-based inference approach for characterizing the Galactic Center γ-ray excess., and . CoRR, (2021)A point cloud approach to generative modeling for galaxy surveys at the field level., and . CoRR, (2023)Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation., , and . CoRR, (2022)