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Jeffrey Regier

for the LSST Dark Energy Science Collaboration

Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference

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Mar 15, 2024
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Diffusion Models for Probabilistic Deconvolution of Galaxy Images

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Jul 20, 2023
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Variational Inference with Coverage Guarantees

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May 23, 2023
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Statistical Inference for Coadded Astronomical Images

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Nov 17, 2022
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Dynamic Survival Transformers for Causal Inference with Electronic Health Records

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Oct 25, 2022
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Scalable Bayesian Inference for Detection and Deblending in Astronomical Images

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Jul 12, 2022
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Normalizing Flows for Knockoff-free Controlled Feature Selection

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Jun 03, 2021
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Variational Inference for Deblending Crowded Starfields

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Feb 04, 2021
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Flows Succeed Where GANs Fail: Lessons from Low-Dimensional Data

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Jun 17, 2020
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Decision-Making with Auto-Encoding Variational Bayes

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Feb 17, 2020
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