Sascha P. Quanz

According to our database, Sascha P. Quanz authored at least 7 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

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

2022

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

2020

Physically constrained causal noise models for high-contrast imaging of exoplanets.

Timothy D. Gebhard, Markus J. Bonse, Sascha P. Quanz, Bernhard Schölkopf

CoRR, 2020

2015

PynPoint code for exoplanet imaging.

Adam Amara, Sascha P. Quanz, Joël Akeret

Astron. Comput., 2015