Sascha P. Quanz

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 6

Top Topics

Digital Imaging

Machine Learning

Top Venues

Astron. Comput.

Publications

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
Machine Learning for Exoplanet Detection in High-Contrast Spectroscopy: Revealing Exoplanets by Leveraging Hidden Molecular Signatures in Cross-Correlated Spectra with Convolutional Neural Networks. CoRR (2024)
Jalo Nousiainen, Byron Engler, Markus Kasper, Chang Rajani, Tapio Helin, Cédric T. Heritier, Sascha P. Quanz, Adrian M. Glauser
Laboratory Experiments of Model-based Reinforcement Learning for Adaptive Optics Control. CoRR (2024)
Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax, Daniel Angerhausen, Sascha P. Quanz, Bernhard Schölkopf
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling. CoRR (2023)
Timothy D. Gebhard, Daniel Angerhausen, Björn S. Konrad, Eleonora Alei, Sascha P. Quanz, Bernhard Schölkopf
Parameterizing pressure-temperature profiles of exoplanet atmospheres with neural networks. CoRR (2023)
Timothy D. Gebhard, Markus J. Bonse, Sascha P. Quanz, Bernhard Schölkopf
Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework. CoRR (2022)
Timothy D. Gebhard, Markus J. Bonse, Sascha P. Quanz, Bernhard Schölkopf
Physically constrained causal noise models for high-contrast imaging of exoplanets. CoRR (2020)
Adam Amara, Sascha P. Quanz, Joël Akeret
PynPoint code for exoplanet imaging. Astron. Comput. 10 (2015)