292 citations · 1.7k across the 26 of their papers we have counts for
4 papers · 1 filter
flowMC: Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Kaze W. K. Wong, Marylou Gabrié, Daniel Foreman-Mackey
flowMC is a Python library for accelerated Markov Chain Monte Carlo (MCMC) leveraging deep generative modeling. It is built on top of the machine learning libraries JAX and Flax. A…
The Initial Magnetic Field Distribution in AB Stars
Eoin Farrell, Adam S. Jermyn, Matteo Cantiello +1
Stars are born with magnetic fields, but the distribution of their initial field strengths remains uncertain. We combine observations with theoretical models of magnetic field evol…
A Generative Model for Quasar Spectra
Anna-Christina Eilers, David W. Hogg, Bernhard Schölkopf +3
We build a multi-output generative model for quasar spectra and the properties of their black hole engines, based on a Gaussian process latent-variable model. This model treats eve…
The Thresher: Lucky Imaging without the Waste
James A. Hitchcock, D. M. Bramich, Daniel Foreman-Mackey +2
In traditional lucky imaging (TLI), many consecutive images of the same scene are taken with a high frame-rate camera, and all but the sharpest images are discarded before construc…