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Flow matching for atmospheric retrieval of exoplanets: Where reliability meets adaptive noise levels
Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax, Annalena Kofler, Daniel Angerhausen, Sascha P. Quanz and Bernhard Schölkopf Astronomy & Astrophysics 693 A42 (2025) https://doi.org/10.1051/0004-6361/202451861
Near-instantaneous Atmospheric Retrievals and Model Comparison with FASTER
Anna Lueber, Konstantin Karchev, Chloe Fisher, Matthias Heim, Roberto Trotta and Kevin Heng The Astrophysical Journal Letters 984(1) L32 (2025) https://doi.org/10.3847/2041-8213/adc7aa
Machine-assisted classification of potential biosignatures in Earth-like exoplanets using low signal-to-noise ratio transmission spectra
David S Duque-Castaño, Jorge I Zuluaga and Lauren Flor-Torres Monthly Notices of the Royal Astronomical Society 539(2) 1528 (2025) https://doi.org/10.1093/mnras/staf563
Retrieved atmospheric properties of the sub-stellar object VHS 1256 b with HST, VLT, and JWST spectra
Anna Lueber, Kevin Heng, Brendan P. Bowler, Daniel Kitzmann, Johanna M. Vos and Yifan Zhou Astronomy & Astrophysics 690 A357 (2024) https://doi.org/10.1051/0004-6361/202451301
Parameterizing pressure–temperature profiles of exoplanet atmospheres with neural networks
Timothy D. Gebhard, Daniel Angerhausen, Björn S. Konrad, Eleonora Alei, Sascha P. Quanz and Bernhard Schölkopf Astronomy & Astrophysics 681 A3 (2024) https://doi.org/10.1051/0004-6361/202346390
FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning
S. de Regt, S. Gandhi, I. A. G. Snellen, Y. Zhang, C. Ginski, D. González Picos, A. Y. Kesseli, R. Landman, P. Mollière, E. Nasedkin, A. Sánchez-López and T. Stolker Astronomy & Astrophysics 688 A116 (2024) https://doi.org/10.1051/0004-6361/202348508
Approximating Rayleigh scattering in exoplanetary atmospheres using physics-informed neural networks
David Dahlbüdding, Karan Molaverdikhani, Barbara Ercolano and Tommaso Grassi Monthly Notices of the Royal Astronomical Society 533(3) 3475 (2024) https://doi.org/10.1093/mnras/stae1872
Radiative transfer and inversion codes for characterizing planetary atmospheres: an overview
Intercomparison of Brown Dwarf Model Grids and Atmospheric Retrieval Using Machine Learning
Anna Lueber, Daniel Kitzmann, Chloe E. Fisher, Brendan P. Bowler, Adam J. Burgasser, Mark Marley and Kevin Heng The Astrophysical Journal 954(1) 22 (2023) https://doi.org/10.3847/1538-4357/ace530
Searching for Novel Chemistry in Exoplanetary Atmospheres Using Machine Learning for Anomaly Detection
Bayesian Analysis for Remote Biosignature Identification on exoEarths (BARBIE). I. Using Grid-based Nested Sampling in Coronagraphy Observation Simulations for H2O
Natasha Latouf, Avi M. Mandell, Geronimo L. Villanueva, Michael Dane Moore, Nicholas Susemiehl, Vincent Kofman and Michael D. Himes The Astronomical Journal 166(3) 129 (2023) https://doi.org/10.3847/1538-3881/acebc3
Grid-based Atmospheric Retrievals for Reflected-light Spectra of Exoplanets Using PSGnest