Search Results for author: Derek Hansen

Found 3 papers, 3 papers with code

Date Published Github Stars

Learning Physical Models that Can Respect Conservation Laws

1 code implementation • 21 Feb 2023 • Derek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney

We provide a detailed analysis of ProbConserv on learning with the Generalized Porous Medium Equation (GPME), a widely-applicable parameterized family of PDEs that illustrates the qualitative properties of both easier and harder PDEs.

Uncertainty Quantification

50
Paper
Code

Scalable Bayesian Inference for Detection and Deblending in Astronomical Images

1 code implementation • 12 Jul 2022 • Derek Hansen, Ismael Mendoza, Runjing Liu, Ziteng Pang, Zhe Zhao, Camille Avestruz, Jeffrey Regier

We present a new probabilistic method for detecting, deblending, and cataloging astronomical sources called the Bayesian Light Source Separator (BLISS).

Bayesian Inference Variational Inference

37
Paper
Code

Normalizing Flows for Knockoff-free Controlled Feature Selection

1 code implementation • 3 Jun 2021 • Derek Hansen, Brian Manzo, Jeffrey Regier

We propose a new procedure called FlowSelect to perform controlled feature selection that does not suffer from either of these two problems.

Density Estimation feature selection +1

6
Paper
Code
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