Matthew Ho
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    • Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density
    • Metallicity Dependence of Pressure-regulated Feedback-modulated Star Formation in the TIGRESS-NCR Simulation Suite
    • LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
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    • The dynamical mass of the Coma cluster from deep learning
    • CLMM: a LSST-DESC cluster weak lensing mass modeling library for cosmology
    • Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy Clusters
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Celia: Catalog Embeddings Learned From Cosmological Simulations

Jan 1, 2026·
X. Zhang
Matthew Ho
Matthew Ho
,
Anshul Kumar
,
Et Al.
· 0 min read
Type
Preprint
Publication
Submitted to The Open Journal of Astrophysics
Last updated on Jan 1, 2026
Matthew Ho
Authors
Matthew Ho
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← Agentic Systems for Calibrating Cosmological Simulations Jan 1, 2026
Learning at the Edge: Tailed-Uniform Sampling for Robust Simulation-Based Inference Jan 1, 2026 →

© 2026 Me. This work is licensed under CC BY NC ND 4.0 Photo: Thomas Robert Clarke / Institute for Advanced Study.

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