Convolutional neural networks: a magic bullet for gravitational-wave detection? - Timothy D. Gebhard; Niki Kilbertus; Ian Harry; Bernhard Schölkopf (CoRR, 2019)

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)

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)