14 citations · 26 across the 4 of their papers we have counts for
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astro-ph.IM2019★ 7 cited
Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems
Francois Lanusse, Peter Melchior, Fred Moolekamp
We present a Bayesian machine learning architecture that combines a physically motivated parametrization and an analytic error model for the likelihood with a deep generative model…
math.OC2019
Proximal Adam: Robust Adaptive Update Scheme for Constrained Optimization
Peter Melchior, Rémy Joseph, Fred Moolekamp
We implement the adaptive step size scheme from the optimization methods AdaGrad and Adam in a novel variant of the Proximal Gradient Method (PGM). Our algorithm, dubbed AdaProx, a…