Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

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

Spectral classification of young stars using conditional invertible neural networks

Da Eun Kang, Dominika Itrich, Victor F. Ksoll, Leonardo Testi, Ralf S. Klessen and Sergio Molinari
Astronomy & Astrophysics 697 A39 (2025)
https://doi.org/10.1051/0004-6361/202450394

Application-driven validation of posteriors in inverse problems

Tim J. Adler, Jan-Hinrich Nölke, Annika Reinke, Minu Dietlinde Tizabi, Sebastian Gruber, Dasha Trofimova, Lynton Ardizzone, Paul F. Jaeger, Florian Buettner, Ullrich Köthe and Lena Maier-Hein
Medical Image Analysis 101 103474 (2025)
https://doi.org/10.1016/j.media.2025.103474

Searching for hot water world candidates with CHEOPS

J. A. Egger, D. Kubyshkina, Y. Alibert, H. P. Osborn, A. Bonfanti, T. G. Wilson, A. Brandeker, M. N. Günther, M. Lendl, D. Kitzmann, L. Fossati, C. Mordasini, S. G. Sousa, V. Adibekyan, M. Fridlund, C. Pezzotti, D. Gandolfi, S. Ulmer-Moll, R. Alonso, T. Bárczy, D. Barrado Navascues, S. C. C. Barros, W. Baumjohann, W. Benz, N. Billot, et al.
Astronomy & Astrophysics 696 A28 (2025)
https://doi.org/10.1051/0004-6361/202453325

Uncertainties in the Inference of Internal Structure: The Case of TRAPPIST-1 f

David R. Rice, Chenliang Huang, Jason H. Steffen and Allona Vazan
The Astrophysical Journal 986 (1) 2 (2025)
https://doi.org/10.3847/1538-4357/add34b

Bayesian inverse problems with conditional Sinkhorn generative adversarial networks in least volume latent spaces

Qiuyi Chen, Panagiotis Tsilifis and Mark Fuge
Neural Networks 191 107740 (2025)
https://doi.org/10.1016/j.neunet.2025.107740

To Sample or Not to Sample: Retrieving Exoplanetary Spectra with Variational Inference and Normalizing Flows

Kai Hou Yip, Quentin Changeat, Ahmed Al-Refaie and Ingo P. Waldmann
The Astrophysical Journal 961 (1) 30 (2024)
https://doi.org/10.3847/1538-4357/ad063f

Inferring stellar parameters and their uncertainties from high-resolution spectroscopy using invertible neural networks

N. Candebat, G. G. Sacco, L. Magrini, F. Belfiore, M. Van der Swaelmen and S. Zibetti
Astronomy & Astrophysics 692 A228 (2024)
https://doi.org/10.1051/0004-6361/202451251

Accretion of primordial H–He atmospheres in mini-Neptunes: The importance of envelope enrichment

M. Mol Lous, C. Mordasini and R. Helled
Astronomy & Astrophysics 685 A22 (2024)
https://doi.org/10.1051/0004-6361/202349039

A deep-learning approach to the 3D reconstruction of dust density and temperature in star-forming regions

Victor F. Ksoll, Stefan Reissl, Ralf S. Klessen, Ian W. Stephens, Rowan J. Smith, Juan D. Soler, Alessio Traficante, Philipp Girichidis, Leonardo Testi, Patrick Hennebelle and Sergio Molinari
Astronomy & Astrophysics 683 A246 (2024)
https://doi.org/10.1051/0004-6361/202347758

BICEPS: An improved characterization model for low- and intermediate-mass exoplanets

Jonas Haldemann, Caroline Dorn, Julia Venturini, Yann Alibert and Willy Benz
Astronomy & Astrophysics 681 A96 (2024)
https://doi.org/10.1051/0004-6361/202346965

Polar Encoding: A Simple Baseline Approach for Classification With Missing Values

Oliver Urs Lenz, Daniel Peralta and Chris Cornelis
IEEE Transactions on Fuzzy Systems 32 (5) 3084 (2024)
https://doi.org/10.1109/TFUZZ.2024.3367419

NeuralCMS: A deep learning approach to study Jupiter’s interior

M. Ziv, E. Galanti, A. Sheffer, S. Howard, T. Guillot and Y. Kaspi
Astronomy & Astrophysics 686 L7 (2024)
https://doi.org/10.1051/0004-6361/202450223

Unveiling the internal structure and formation history of the three planets transiting HIP 29442 (TOI-469) with CHEOPS

J. A. Egger, H. P. Osborn, D. Kubyshkina, C. Mordasini, Y. Alibert, M. N. Günther, M. Lendl, A. Brandeker, A. Heitzmann, A. Leleu, M. Damasso, A. Bonfanti, T. G. Wilson, S. G. Sousa, J. Haldemann, L. Delrez, M. J. Hooton, T. Zingales, R. Luque, R. Alonso, J. Asquier, T. Bárczy, D. Barrado Navascues, S. C. C. Barros, W. Baumjohann, et al.
Astronomy & Astrophysics 688 A223 (2024)
https://doi.org/10.1051/0004-6361/202450472

Searching for Novel Chemistry in Exoplanetary Atmospheres Using Machine Learning for Anomaly Detection

Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva and Eyup B. Unlu
The Astrophysical Journal 958 (2) 106 (2023)
https://doi.org/10.3847/1538-4357/ad0047

Spectral classification of young stars using conditional invertible neural networks

Da Eun Kang, Victor F. Ksoll, Dominika Itrich, et al.
Astronomy & Astrophysics 674 A175 (2023)
https://doi.org/10.1051/0004-6361/202346345

ExoMDN: Rapid characterization of exoplanet interior structures with mixture density networks

Philipp Baumeister and Nicola Tosi
Astronomy & Astrophysics 676 A106 (2023)
https://doi.org/10.1051/0004-6361/202346216

Map Reconstruction of Radio Observations with Conditional Invertible Neural Networks

Haolin Zhang, Shifan Zuo and Le Zhang
Research in Astronomy and Astrophysics 23 (7) 075011 (2023)
https://doi.org/10.1088/1674-4527/acd0ee