2 citations · 3 across the 10 of their papers we have counts for
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Neural Posterior Estimation for Cataloging Astronomical Images from the Legacy Survey of Space and Time
Yicun Duan, Xinyue Li, Camille Avestruz +2
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will commence full-scale operations in 2026, yielding an unprecedented volume of astronomical images. Construct…
Neural Posterior Estimation with Autoregressive Tiling for Detecting Objects in Astronomical Images
Jeffrey Regier
Upcoming astronomical surveys will produce petabytes of high-resolution images of the night sky, providing information about billions of stars and galaxies. Detecting and character…
A new tail bound for the sum of bounded independent random variables
Jackson Loper, Jeffrey Regier
We construct a new tail bound for the sum of independent random variables for situations in which the expected value of the sum is known and each random variable lies within a spec…
Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions
Aakash Patel, Tianqing Zhang, Camille Avestruz +2
Neural posterior estimation (NPE), a type of amortized variational inference, is a computationally efficient means of constructing probabilistic catalogs of light sources from astr…
Globally Convergent Variational Inference
Declan McNamara, Jackson Loper, Jeffrey Regier
In variational inference (VI), an approximation of the posterior distribution is selected from a family of distributions through numerical optimization. With the most common variat…