7 citations · 7 across the 1 of their papers we have counts for
3 papers
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…
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…
An Overview of the LSST Image Processing Pipelines
James Bosch, Yusra AlSayyad, Robert Armstrong +31
The Large Synoptic Survey Telescope (LSST) is an ambitious astronomical survey with a similarly ambitious Data Management component. Data Management for LSST includes processing on…