October 13, 2021 article Open access Peeking inside the Black Box: Interpreting Deep-learning Models for Exoplanet Atmospheric Retrievals The Astronomical Journal DOI: 10.3847/1538-3881/ac1744 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 33 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning 2024 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access 13 citations Convolutional neural networks as an alternative to Bayesian retrievals for interpreting exoplanet transmission spectra 2022 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access 32 citations 2 results References 0