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11/15/2022
Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks
We present a Bayesian graph neural network (BGNN) that can estimate the ...
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11/30/2020
Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant
We investigate the use of approximate Bayesian neural networks (BNNs) in...
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10/26/2020
Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing
In the past few years, approximate Bayesian Neural Networks (BNNs) have ...
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10/17/2019
A Novel CMB Component Separation Method: Hierarchical Generalized Morphological Component Analysis
We present a novel technique for Cosmic Microwave Background (CMB) foreg...
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09/03/2017
