Aaron Roodman

According to our database, Aaron Roodman authored at least 5 papers between 2020 and 2025.

Collaborative distances:

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

2025

Dark Energy Survey Year 3 results: Simulation-based <i>w</i>CDM inference from weak lensing and galaxy clustering maps with deep learning. I. Analysis design.

Arne Thomsen, J. Bucko, Tomasz Kacprzak, V. Ajani, Janis Fluri, Alexandre Refregier, Dhayaa Anbajagane, Francisco J. Castander, A. Ferté, M. Gatti, N. Jeffrey, A. Alarcon, A. Amon, Keith C. Bechtol, M. R. Becker, Gary M. Bernstein, A. Campos, Aurelio Carnero Rosell, Chihway Chang, R. Chen, A. Choi, Martín Crocce, C. Davis, J. DeRose, Scott Dodelson, C. Doux, K. Eckert, J. Elvin-Poole, S. Everett, Pablo Fosalba, Daniel Gruen, I. Harrison, Ken Herner, E. M. Huff, Michael J. Jarvis, Nikolay Kuropatkin, Pierre-François Léget, N. MacCrann, J. McCullough, J. Myles, A. Navarro-Alsina, S. Pandey, Anna Porredon, J. Prat, M. Raveri, M. Rodriguez-Monroy, R. P. Rollins, Aaron Roodman, Eli S. Rykoff, Carles Sánchez, L. F. Secco, Erin Sheldon, T. Shin, M. A. Troxel, Isaac Tutusaus, T. N. Varga, Noah Weaverdyck, Risa H. Wechsler, Brian Yanny, B. Yin, Y. Zhang, Joe Zuntz, Sahar Allam, F. Andrade-Oliveira, D. Bacon, J. Blazek, David D. Brooks, R. Camilleri, Jorge Carretero, R. Cawthon, Luiz Nicolaci da Costa, M. E. da Silva Pereira, Tamara M. Davis, Juan de Vicente, Shantanu Desai, Peter Doel, Juan García-Bellido, Gaston R. Gutiérrez, Samuel R. Hinton, Devon L. Hollowood, Klaus Honscheid, David J. James, Kyler W. Kuehn, Ofer Lahav, S. Lee, Jennifer L. Marshall, J. Mena-Fernández, Felipe Menanteau, Ramon Miquel, J. Muir, R. L. C. Ogando, Andrés Alejandro Plazas Malagón, Eusebio Sánchez, D. Sanchez Cid, Ignacio Sevilla-Noarbe, M. Smith, Eric Suchyta, Mollye E. C. Swanson, D. Thomas, C. To, Douglas L. Tucker

CoRR, November, 2025

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

Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes.

Ji Won Park, V. Ashley Villar, Yin Li, Yan-Fei Jiang, Shirley Ho, Joshua Yao-Yu Lin, Philip J. Marshall, Aaron Roodman

CoRR, 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