7 citations · 13 across the 6 of their papers we have counts for
6 papers
Constraining Protoplanetary Disk Winds from Forbidden Line Profiles with Simulation-based Inference
Ahmad Nemer, ChangHoon Hahn, Jiaxuan Li +2
Protoplanetary disks are the sites of vigorous hydrodynamic processes, such as accretion and outflows, and ultimately establish the conditions for the formation of planets. The pro…
AESTRA: Deep Learning for Precise Radial Velocity Estimation in the Presence of Stellar Activity
Yan Liang, Joshua N. Winn, Peter Melchior
Stellar activity interferes with precise radial velocity measurements and limits our ability to detect and characterize planets, particularly Earth-like planets. We introduce \aest…
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…
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…
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…
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…