7 citations · 13 across the 6 of their papers we have counts for
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astro-ph.IM2023★ 1 cited
Spotting Hallucinations in Inverse Problems with Data-Driven Priors
Matt L. Sampson, Peter Melchior
Hallucinations are an inescapable consequence of solving inverse problems with deep neural networks. The expressiveness of recent generative models is the reason why they can yield…
astro-ph.IM2022★ 4 cited
Lightweight starshade position sensing with convolutional neural networks and simulation-based inference
Andrew Chen, Anthony Harness, Peter Melchior
Starshades are a leading technology to enable the direct detection and spectroscopic characterization of Earth-like exoplanets. To keep the starshade and telescope aligned over lar…
astro-ph.IM2021
Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy
Tianshu Wang, Peter Melchior
Resource allocation problems are often approached with linear programming techniques. But many concrete allocation problems in the experimental and observational sciences cannot or…