369 citations · 408 across the 6 of their papers we have counts for
6 papers
Why do we do astrophysics?
David W. Hogg
At time of writing, large language models (LLMs) are beginning to obtain the ability to design, execute, write up, and referee scientific projects on the data-science side of astro…
Group Averaging for Physics Applications: Accuracy Improvements at Zero Training Cost
Valentino F. Foit, David W. Hogg, Soledad Villar
Many machine learning tasks in the natural sciences are precisely equivariant to particular symmetries. Nonetheless, equivariant methods are often not employed, perhaps because tra…
Causal Foundation Models: Disentangling Physics from Instrument Properties
Jeroen Audenaert, Daniel Muthukrishna, Paul F. Gregory +2
Foundation models for structured time series data must contend with a fundamental challenge: observations often conflate the true underlying physical phenomena with systematic dist…
A formula for the area of a triangle: Useless, but explicitly in Deep Sets form
Connor Hainje, David W. Hogg
Any permutation-invariant function of data points can be written in the form for suitable functions and . This form - known in the machin…
TRAP: A temporal systematics model for improved direct detection of exoplanets at small angular separations
M. Samland, J. Bouwman, D. W. Hogg +3
High-contrast imaging surveys for exoplanet detection have shown giant planets at large separations to be rare. It is important to push towards detections at smaller separations, t…
State of the Field: Extreme Precision Radial Velocities
Debra Fischer, Guillem Anglada-Escude, Pamela Arriagada +53
The Second Workshop on Extreme Precision Radial Velocities defined circa 2015 the state of the art Doppler precision and identified the critical path challenges for reaching 10 cm/…