| 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 | 19 | 2022 |
| Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines A Adam, L Perreault-Levasseur, Y Hezaveh, M Welling The Astrophysical Journal 951 (1), 6, 2023 | 9 | 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 | 8 | 2023 |
| On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling M Sendera, M Kim, S Mittal, P Lemos, L Scimeca, J Rector-Brooks, ... arXiv preprint arXiv:2402.05098, 2024 | 4 | 2024 |
| Pixelated Reconstruction of Gravitational Lenses using Recurrent Inference Machines A Adam, L Perreault-Levasseur, Y Hezaveh arXiv preprint arXiv:2207.01073, 2022 | 3 | 2022 |
| Bayesian Imaging for Radio Interferometry with Score-Based Priors N Dia, MJ Yantovski-Barth, A Adam, M Bowles, P Lemos, AMM Scaife, ... arXiv preprint arXiv:2311.18012, 2023 | 1 | 2023 |
| 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 | 1 | 2023 |
| Amortizing intractable inference in diffusion models for vision, language, and control S Venkatraman, M Jain, L Scimeca, M Kim, M Sendera, M Hasan, L Rowe, ... arXiv preprint arXiv:2405.20971, 2024 | | 2024 |
| Caustic: The gravitational lensing simulator of the future C Stone, A Adam, Y Hezaveh, L Perreault Levasseur American Astronomical Society Meeting Abstracts 56 (2), 261.20, 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 |
| Unraveling the Mysteries of Galaxy Clusters: Recurrent Inference Deconvolution of X-ray Spectra C Rhea, J Hlavacek-Larrondo, R Kraft, A Bogdan, A Adam, ... arXiv preprint arXiv:2311.18014, 2023 | | 2023 |
| The search for the lost attractor M Pasquato, S Haddad, P Di Cintio, A Adam, P Lemos, N Dia, M Petrache, ... arXiv preprint arXiv:2311.16306, 2023 | | 2023 |
| 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, 2023 | | 2023 |
| Reconstruction libre de lentilles gravitationnelles de type galaxie-galaxie avec les machines à inférence récurentielle A Adam | | 2023 |
Laurence Perreault-LevasseurAssistant Professor, Université de MontréalVerified email at astro.umontreal.ca
