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Gravitational-wave Parameter Estimation in Non-Gaussian Noise Using Score-based Likelihood Characterization
Ronan Legin, Maximiliano Isi, Kaze W. K. Wong, Yashar Hezaveh and Laurence Perreault-Levasseur The Astrophysical Journal Letters 985(2) L46 (2025) https://doi.org/10.3847/2041-8213/add681
Dark from light (DfL): Inferring halo properties from luminous tracers with machine learning trained on cosmological simulations
Asa F. L. Bluck, Joanna M. Piotrowska, Paul Goubert, Roberto Maiolino, Camilo Casimiro, Thomas Pinto Franco and Nicolas Cea Astronomy & Astrophysics 700 A272 (2025) https://doi.org/10.1051/0004-6361/202554702
Quantifying biases in orbit-superposition modelling with (non-)parametric kinematics
Generative modelling for mass-mapping with fast uncertainty quantification
Jessica J Whitney, Tobías I Liaudat, Matthew A Price, Matthijs Mars and Jason D McEwen Monthly Notices of the Royal Astronomical Society 542(3) 2464 (2025) https://doi.org/10.1093/mnras/staf1356
Generative modelling of convergence maps based on predicted one-point statistics
Caustics: A Python Package for Accelerated Strong
Gravitational Lensing Simulations
Connor Stone, Alexandre Adam, Adam Coogan, M. J. Yantovski-Barth, Andreas Filipp, Landung Setiawan, Cordero Core, Ronan Legin, Charles Wilson, Gabriel Missael Barco, Yashar Hezaveh and Laurence Perreault-Levasseur Journal of Open Source Software 9(103) 7081 (2024) https://doi.org/10.21105/joss.07081
Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging
Tobías I Liaudat, Matthijs Mars, Matthew A Price, Marcelo Pereyra, Marta M Betcke and Jason D McEwen RAS Techniques and Instruments 3(1) 505 (2024) https://doi.org/10.1093/rasti/rzae030
Denoising diffusion delensing: reconstructing the non-Gaussian CMB lensing potential with diffusion models
Thomas Flöss, William R Coulton, Adriaan J Duivenvoorden, Francisco Villaescusa-Navarro and Benjamin D Wandelt Monthly Notices of the Royal Astronomical Society 533(1) 423 (2024) https://doi.org/10.1093/mnras/stae1818
IllustrisTNG in the HSC-SSP: image data release and the major role of mini mergers as drivers of asymmetry and star formation
Connor Bottrell, Hassen M Yesuf, Gergö Popping, Kiyoaki Christopher Omori, Shenli Tang, Xuheng Ding, Annalisa Pillepich, Dylan Nelson, Lukas Eisert, Hua Gao, Andy D Goulding, Boris S Kalita, Wentao Luo, Jenny E Greene, Jingjing Shi and John D Silverman Monthly Notices of the Royal Astronomical Society 527(3) 6506 (2023) https://doi.org/10.1093/mnras/stad2971
The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys
Can diffusion model conditionally generate astrophysical images?
Xiaosheng Zhao, Yuan-Sen Ting, Kangning Diao and Yi Mao Monthly Notices of the Royal Astronomical Society 526(2) 1699 (2023) https://doi.org/10.1093/mnras/stad2778
Beyond Gaussian Noise: A Generalized Approach to Likelihood Analysis with Non-Gaussian Noise
Ronan Legin, Alexandre Adam, Yashar Hezaveh and Laurence Perreault-Levasseur The Astrophysical Journal Letters 949(2) L41 (2023) https://doi.org/10.3847/2041-8213/acd645
Astronomia ex machina: a history, primer and outlook on neural networks in astronomy