Dustin Lang — accepted AI-conference papers

2015

A Gaussian Process Model of Quasar Spectral Energy Distributions

Andrew Miller, Albert Wu, Jeff Regier, Jon McAuliffe, Dustin Lang, Mr. Prabhat +2

NeurIPS 2015poster

We propose a method for combining two sources of astronomical data, spectroscopy and photometry, that carry information about sources of light (e.g., stars, galaxies, and quasars) at extremely different spectral resolutions. Our model treats the spectral energy distribution (SED) of the radiation f…

Cited by 5 Source ↗PDF ↗Scholar ↗

2015

Celeste: Variational inference for a generative model of astronomical images

Jeffrey Regier, Andrew Miller, Jon McAuliffe, Ryan Adams, Matt Hoffman, Dustin Lang +2

ICML 2015poster

We present a new, fully generative model of optical telescope image sets, along with a variational procedure for inference. Each pixel intensity is treated as a Poisson random variable, with a rate parameter dependent on latent properties of stars and galaxies. Key latent properties are themselves r…

Cited by 46 Source ↗PDF ↗Scholar ↗