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    • 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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Information-Ordered Bottlenecks for Adaptive Dimensionality Reduction

Jan 1, 2024ยท
Matthew Ho
Matthew Ho
,
Xiaosheng Zhao
,
Benjamin Dan Wandelt
ยท 0 min read
Cite
Type
Journal article
Last updated on Jan 1, 2024
Matthew Ho
Authors
Matthew Ho
Postdoctoral Researcher
← Building Trustworthy Machine Learning Models for Astronomy May 1, 2024
MNRAS: Letters 527 Jan 1, 2024 →

ยฉ 2025 Me. This work is licensed under CC BY NC ND 4.0

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