Simon Birrer

According to our database, Simon Birrer authored at least 9 papers between 2016 and 2026.

Collaborative distances:

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

2026

AS-Bridge: A Bidirectional Generative Framework Bridging Next-Generation Astronomical Surveys.

Dichang Zhang, Yixuan Shao, Simon Birrer, Dimitris Samaras

CoRR, March, 2026

2022

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

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

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, Lyne Van de Vyvere, Sebastian Wagner-Carena, Ewoud Wempe, Lilan Yang, Xuheng Ding, Thomas Schmidt, Dominique Sluse, Ming Zhang, Adam Amara

J. Open Source Softw., 2021

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, Laura Nuttall, Richard Rollins, Philipp Sudek, Sut-Ieng Tam, Nicolas Tessore, Arthur Tolley, Keiichi Umetsu, Andrew Williamson, Laura Wolz

J. Open Source Softw., 2021

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

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

2019

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, João Caldeira, Douglas A. Caldwell, Joleen K. Carlberg, Yen-Chi Chen, Chuanfei Dong, Eric D. Feigelson, V. Zach Golkhou, Vinay L. Kashyap, T. S. Li, Thomas Loredo, Luisa Lucie-Smith, Kaisey S. Mandel, J. R. Martínez-Galarza, Adam A. Miller, Priyamvada Natarajan, Michelle Ntampaka, Andy Ptak, David Rapetti, Lior Shamir, Aneta Siemiginowska, Brigitta M. Sipocz, Arfon M. Smith, Nhan Tran, Ricardo Vilalta, Lucianne M. Walkowicz, John ZuHone

CoRR, 2019

2016

Quantitative Evaluation of Gender Bias in Astronomical Publications from Citation Counts.

Neven Caplar, Sandro Tacchella, Simon Birrer

CoRR, 2016