Joshua S. Bloom

deepCR: Cosmic Ray Rejection with Deep Learning

Keming Zhang, Joshua S. Bloom, 2019 .

Deep Generative Modeling of Periodic Variable Stars Using Physical Parameters

Joshua S. Bloom, Jorge Mart'inez-Palomera, Ellianna S. Abrahams, 2020, The Astronomical Journal.

The Impact of the Astro2010 Recommendations on Variable Star Science

Leonid Georgiev, Joshua S. Bloom, Arne Rau, 2009, 0902.3981.

Data Mining and Machine-Learning in Time-Domain Discovery & Classification

Joshua S. Bloom, Joseph W. Richards, J. Richards, 2011, 1104.3142.

On Neural Architectures for Astronomical Time-series Classification with Application to Variable Stars

Joshua S. Bloom, Sara Jamal, J. Bloom, 2020, The Astrophysical Journal Supplement Series.

Automating Inference of Binary Microlensing Events with Neural Density Estimation pdf

Jessica R. Lu, Joshua S. Bloom, B. Scott Gaudi, 2020, ArXiv.

LSST Science Book, Version 2.0

Donald W. Sweeney, Scot S. Olivier, Michael Warner, 2009, 0912.0201.

ALLStars: Overcoming Multi-Survey Selection Bias using Crowd-Sourced Active Learning

Joshua S. Bloom, Adam A. Miller, Dan L. Starr, 2012 .

VizieR Online Data Catalog: Machine-learned ASAS Classification Cat. (MACC) (Richards+, 2012)

Joshua S. Bloom, Adam A. Miller, Dan L. Starr, 2012 .