PynPoint code for exoplanet imaging. - Adam Amara; Sascha P. Quanz; Joël Akeret (Astron. Comput., 2015)

Physically constrained causal noise models for high-contrast imaging of exoplanets. - Timothy D. Gebhard; Markus J. Bonse; Sascha P. Quanz; Bernhard Schölkopf (CoRR, 2020)

Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework. - Timothy D. Gebhard; Markus J. Bonse; Sascha P. Quanz; Bernhard Schölkopf (CoRR, 2022)

Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks. - Timothy D. Gebhard; Daniel Angerhausen; Björn S. Konrad; Eleonora Alei; Sascha P. Quanz; Bernhard Schölkopf (CoRR, 2023)

Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling. - Timothy D. Gebhard; Jonas Wildberger; Maximilian Dax; Daniel Angerhausen; Sascha P. Quanz; Bernhard Schölkopf (CoRR, 2023)

Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control. - Jalo Nousiainen; Byron Engler; Markus Kasper; Chang Rajani; Tapio Helin; Cédric T. Heritier; Sascha P. Quanz; Adrian M. Glauser (CoRR, 2024)

Machine Learning for Exoplanet Detection in High-Contrast Spectroscopy: Revealing Exoplanets by Leveraging Hidden Molecular Signatures in Cross-Correlated Spectra with Convolutional Neural Networks. - Emily O. Garvin; Markus J. Bonse; Jean Hayoz; Gabriele Cugno; Jonas Spiller; Polychronis A. Patapis; Dominique Petit Dit de la Roche; Rakesh Nath-Ranga; Olivier Absil; Nicolai F. Meinshausen; Sascha P. Quanz (CoRR, 2024)

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; Bernhard Schölkopf (CoRR, 2024)