93 citations · 305 across the 23 of their papers we have counts for
5 papers · 1 filter
Scalable Bayesian Inference for Finding Strong Gravitational Lenses
Yash Patel, Jeffrey Regier
Finding strong gravitational lenses in astronomical images allows us to assess cosmological theories and understand the large-scale structure of the universe. Previous works on len…
Statistical Inference for Coadded Astronomical Images
Mallory Wang, Ismael Mendoza, Cheng Wang +2
Coadded astronomical images are created by stacking multiple single-exposure images. Because coadded images are smaller in terms of data size than the single-exposure images they s…
Dynamic Survival Transformers for Causal Inference with Electronic Health Records
Prayag Chatha, Yixin Wang, Zhenke Wu +1
In medicine, researchers often seek to infer the effects of a given treatment on patients' outcomes. However, the standard methods for causal survival analysis make simplistic assu…
Model-free Sign Estimation for High-Throughput Screenings
Jackson Loper, Jeffrey Regier
In high-throughput screenings, it is common to estimate the effects of many treatments using a small number of independent trials of each. Because little is known about the distrib…
Scalable Bayesian Inference for Detection and Deblending in Astronomical Images
Derek Hansen, Ismael Mendoza, Runjing Liu +4
We present a new probabilistic method for detecting, deblending, and cataloging astronomical sources called the Bayesian Light Source Separator (BLISS). BLISS is based on deep gene…