LSST Dark Energy Science Collaboration

According to our database, LSST Dark Energy Science Collaboration authored at least 3 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions.

Aakash Patel, Tianqing Zhang, Camille Avestruz, Jeffrey Regier, LSST Dark Energy Science Collaboration

CoRR, March, 2025

ORACLE: A Real-Time, Hierarchical, Deep-Learning Photometric Classifier for the LSST.

Ved G. Shah, Alex Gagliano, Konstantin Malanchev, Gautham Narayan, LSST Dark Energy Science Collaboration

CoRR, January, 2025

2023

Variational Inference for Deblending Crowded Starfields.

Runjing Liu, Jon D. McAuliffe, Jeffrey Regier, LSST Dark Energy Science Collaboration

J. Mach. Learn. Res., 2023