Quantitative Evaluation of Gender Bias in Astronomical Publications from Citation Counts. - Neven Caplar; Sandro Tacchella; Simon Birrer (CoRR, 2016)

Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era. - Brian Nord; Andrew J. Connolly; Jamie Kinney; Jeremy Kubica; Gautaum Narayan; Joshua E. G. Peek; Chad Schafer; Erik J. Tollerud; Camille Avestruz; Gutti Jogesh Babu; Simon Birrer; Douglas Burke; et al. (CoRR, 2019)

Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing. - Sebastian Wagner-Carena; Ji Won Park; Simon Birrer; Philip J. Marshall; Aaron Roodman; Risa H. Wechsler (CoRR, 2020)

Large-Scale Gravitational Lens Modeling with Bayesian Neural Networks for Accurate and Precise Inference of the Hubble Constant. - Ji Won Park; Sebastian Wagner-Carena; Simon Birrer; Philip J. Marshall; Joshua Yao-Yu Lin; Aaron Roodman (CoRR, 2020)

SkyPy: A package for modelling the Universe. - Adam Amara; Lucia de la Bella; Simon Birrer; Sarah Bridle; Juan Cordero; Ginevra Favole; Ian Harrison; Ian Harry; William G. Hartley; Coleman Krawczyk; Andrew P. Lundgren; Brian Nord; et al. (J. Open Source Softw., 2021)

lenstronomy II: A gravitational lensing software ecosystem. - Simon Birrer; Anowar J. Shajib; Daniel Gilman; Aymeric Galan; Jelle Aalbers; Martin Millon; Robert Morgan; Giulia Pagano; Ji Won Park; Luca Teodori; Nicolas Tessore; Madison Ueland; et al. (J. Open Source Softw., 2021)

deeplenstronomy: A dataset simulation package for strong gravitational lensing. - Robert Morgan; Brian Nord; Simon Birrer; Joshua Yao-Yu Lin; Jason Poh (J. Open Source Softw., 2021)

Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks. - Ji Won Park; Simon Birrer; Madison Ueland; Miles D. Cranmer; Adriano Agnello; Sebastian Wagner-Carena; Philip J. Marshall; Aaron Roodman (CoRR, 2022)