Timothy D. Gebhard

According to our database, Timothy D. Gebhard authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

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

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

2019

Convolutional neural networks: a magic bullet for gravitational-wave detection?

Timothy D. Gebhard, Niki Kilbertus, Ian Harry, Bernhard Schölkopf

CoRR, 2019