GalSim: The modular galaxy image simulation toolkit. - Barnaby T. P. Rowe; Michael J. Jarvis; Rachel Mandelbaum; Gary M. Bernstein; James F. Bosch; Melanie Simet; Joshua E. Meyers; Tomasz Kacprzak; Reiko Nakajima; Joe Zuntz; Hironao Miyatake; Jörg P. Dietrich; et al. (Astron. Comput., 2015)

Crowdsourcing quality control for Dark Energy Survey images. - Peter Melchior; Erin Sheldon; Alex Drlica-Wagner; Eli S. Rykoff; Timothy M. C. Abbott; Filipe B. Abdalla; Sahar Allam; Aurélien Benoit-Lévy; David D. Brooks; Elizabeth Buckley-Geer; Aurelio Carnero Rosell; Matias Carrasco Kind; et al. (Astron. Comput., 2016)

Block-Simultaneous Direction Method of Multipliers: A proximal primal-dual splitting algorithm for nonconvex problems with multiple constraints. - Fred Moolekamp; Peter Melchior (CoRR, 2017)

DES science portal: Computing photometric redshifts. - Julia Gschwend; A. Carnero Rossel; Ricardo Ogando; Angelo Fausti Neto; Marcio A. G. Maia; Luiz Nicolaci da Costa; Marcos Lima; Paulo S. S. Pellegrini; Riccardo Campisano; C. Singulani; C. Adean; Christophe O. Benoist; et al. (Astron. Comput., 2018)

Filling the gaps: Gaussian mixture models from noisy, truncated or incomplete samples. - Peter Melchior; Andy D. Goulding (Astron. Comput., 2018)

scarlet: Source separation in multi-band images by Constrained Matrix Factorization. - Peter Melchior; Fred Moolekamp; M. Jerdee; R. Armstrong; Ailei Sun; James F. Bosch; Robert Lupton (Astron. Comput., 2018)

DES science portal: Creating science-ready catalogs. - Angelo Fausti Neto; Luiz Nicolaci da Costa; Aurelio Carnero Rosell; Julia Gschwend; R. L. C. Ogando; Flavia Sobreira; Marcio A. G. Maia; Basillio X. Santiago; Rogério Rosenfeld; C. Singulani; C. Adean; L. D. P. Nunes; et al. (Astron. Comput., 2018)

Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems. - François Lanusse; Peter Melchior; Fred Moolekamp (CoRR, 2019)

Unsupervised Resource Allocation with Graph Neural Networks. - Miles D. Cranmer; Peter Melchior; Brian Nord (Preregister@NeurIPS, 2020)

Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects. - Ben Henghes; Ofer Lahav; David W. Gerdes; E. Lin; Robert Morgan; Timothy M. C. Abbott; Michel Aguena; Sahar Allam; James Annis; Santiago Ávila; Emmanuel Bertin; David D. Brooks; et al. (CoRR, 2020)

deep21: a Deep Learning Method for 21cm Foreground Removal. - T. Lucas Makinen; Lachlan Lancaster; Francisco Villaescusa-Navarro; Peter Melchior; Shirley Ho; Laurence Perreault Levasseur; David N. Spergel (CoRR, 2020)

A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. - Sunil Mucesh; William G. Hartley; Antonella Palmese; Ofer Lahav; L. Whiteway; A. Amon; Keith C. Bechtol; Gary M. Bernstein; Aurelio Carnero Rosell; Matias Carrasco Kind; A. Choi; K. Eckert; et al. (CoRR, 2020)

Mangrove: Learning Galaxy Properties from Merger Trees. - Christian Kragh Jespersen; Miles D. Cranmer; Peter Melchior; Shirley Ho; Rachel S. Somerville; Austen Gabrielpillai (CoRR, 2022)

Graph neural network-based resource allocation strategies for multi-object spectroscopy. - Tianshu Wang; Peter Melchior (Mach. Learn. Sci. Technol., 2022)

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers. - Daniela Huppenkothen; Michelle Ntampaka; M. Ho; M. Fouesneau; Brian Nord; Joshua E. G. Peek; Mike Walmsley; John F. Wu; Camille Avestruz; T. Buck; M. Brescia; D. P. Finkbeiner; et al. (CoRR, 2023)

Multiscale Feature Attribution for Outliers. - Jeff Shen; Peter Melchior (CoRR, 2023)

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data. - Eirini Angeloudi; Jeroen Audenaert; Micah Bowles; Benjamin M. Boyd; David Chemaly; Brian Cherinka; Ioana Ciuca; Miles D. Cranmer; Aaron Do; Matthew Grayling; Erin E. Hayes; Tom Hehir; et al. (NeurIPS, 2024)

Score-matching neural networks for improved multi-band source separation. - Matt L. Sampson; Peter Melchior; Charlotte Ward; Sufia Birmingham (Astron. Comput., 2024)

Path-minimizing Latent ODEs for improved extrapolation and inference. - Matt L. Sampson; Peter Melchior (CoRR, 2024)

Disentangling transients and their host galaxies with scarlet2: A framework to forward model multi-epoch imaging. - Charlotte Ward; Peter Melchior; Matt L. Sampson; C. J. Burke; J. Siegel; B. Remy; Sufia Birmingham; E. Ramey; S. van Velzen (Astron. Comput., 2025)

The optical and infrared are connected. - Christian Kragh Jespersen; Peter Melchior; David N. Spergel; Andy D. Goulding; ChangHoon Hahn; Kartheik Iyer (CoRR, 2025)