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06/07/2023
Multiscale Flow for Robust and Optimal Cosmological Analysis
We propose Multiscale Flow, a generative Normalizing Flow that creates s...
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05/27/2022
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
We propose a general purpose Bayesian inference algorithm for expensive ...
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02/10/2022
Translation and Rotation Equivariant Normalizing Flow (TRENF) for Optimal Cosmological Analysis
Our universe is homogeneous and isotropic, and its perturbations obey tr...
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12/21/2020
Unsupervised in-distribution anomaly detection of new physics through conditional density estimation
Anomaly detection is a key application of machine learning, but is gener...
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10/06/2020
Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning
The goal of generative models is to learn the intricate relations betwee...
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07/01/2020