| Spatial variations in aromatic hydrocarbon emission in a dust-rich galaxy JS Spilker, KA Phadke, M Aravena, M Archipley, MB Bayliss, JE Birkin, ... Nature 618 (7966), 708-711, 2023 | 48 | 2023 |
| Posterior samples of source galaxies in strong gravitational lenses with score-based priors A Adam, A Coogan, N Malkin, R Legin, L Perreault-Levasseur, Y Hezaveh, ... arXiv preprint arXiv:2211.03812, 2022 | 22 | 2022 |
| Posterior sampling of the initial conditions of the universe from non-linear large scale structures using score-based generative models R Legin, M Ho, P Lemos, L Perreault-Levasseur, S Ho, Y Hezaveh, ... Monthly Notices of the Royal Astronomical Society: Letters 527 (1), L173-L178, 2024 | 16 | 2024 |
| A framework for obtaining accurate posteriors of strong gravitational lensing parameters with flexible priors and implicit likelihoods using density estimation R Legin, Y Hezaveh, L Perreault-Levasseur, B Wandelt The Astrophysical Journal 943 (1), 4, 2023 | 14 | 2023 |
| Beyond Gaussian noise: A Generalized approach to likelihood analysis with non-Gaussian noise R Legin, A Adam, Y Hezaveh, L Perreault-Levasseur The Astrophysical Journal Letters 949 (2), L41, 2023 | 12 | 2023 |
| Simulation-based inference of strong gravitational lensing parameters R Legin, Y Hezaveh, LP Levasseur, B Wandelt arXiv preprint arXiv:2112.05278, 2021 | 8 | 2021 |
| MNRAS Letters, 527 R Legin, M Ho, P Lemos L173, 2024 | 4 | 2024 |
| Towards Unbiased Gravitational-Wave Parameter Estimation using Score-Based Likelihood Characterization R Legin, M Isi, K Wong, A Adam, L Perreault-Levasseur, Y Hezaveh Machine Learning for Astrophysics. Workshop at the Fortieth International …, 2023 | 2 | 2023 |
| Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations C Stone, A Adam, A Coogan, MJ Yantovski-Barth, A Filipp, L Setiawan, ... arXiv preprint arXiv:2406.15542, 2024 | 1 | 2024 |
| Population-Level Inference of Strong Gravitational Lenses with Neural Network-Based Selection Correction R Legin, C Stone, Y Hezaveh, L Perreault-Levasseur arXiv preprint arXiv:2207.04123, 2022 | 1 | 2022 |
| Gravitational-Wave Parameter Estimation in non-Gaussian noise using Score-Based Likelihood Characterization R Legin, M Isi, KWK Wong, Y Hezaveh, L Perreault-Levasseur arXiv preprint arXiv:2410.19956, 2024 | | 2024 |
| Inpainting Galaxy Counts onto N-Body Simulations over Multiple Cosmologies and Astrophysics A Bourdin, R Legin, M Ho, A Adam, Y Hezaveh, L Perreault-Levasseur arXiv preprint arXiv:2408.00839, 2024 | | 2024 |
| Accelerating the Next Generation of Strong Gravitational Lensing Science using Machine Learning R Legin, A Adam, C Stone, Y Hezaveh, L Perreault Levasseur, B Wandelt American Astronomical Society Meeting Abstracts 56 (2), 261.19, 2024 | | 2024 |
| Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors A Adam, C Stone, C Bottrell, R Legin, Y Hezaveh, L Perreault-Levasseur arXiv preprint arXiv:2311.18002, 2023 | | 2023 |
| Designing networks to accurately learn 2D turbulence closures K Burns, R Legin, A Liu, L Perreault-Levasseur, Y Hezaveh, ... APS Division of Fluid Dynamics Meeting Abstracts, S01. 030, 2020 | | 2020 |
| Score-Based Likelihood Characterization for Inverse Problems in the Presence of Non-Gaussian Noise R Legin, A Adam, Y Hezaveh, L Perreault-Levasseur NeurIPS 2023 Workshop on Deep Learning and Inverse Problems, 0 | | |
