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Timothy Gebhard
Timothy Gebhard
PhD Student at the Max Planck Institute for Intelligent Systems
Verified email at tue.mpg.de - Homepage
Title
Cited by
Cited by
Year
Convolutional neural networks: a magic bullet for gravitational-wave detection?
TD Gebhard, N Kilbertus, I Harry, B Schölkopf
Physical Review D 100 (6), 063015, 2019
762019
Enhancing gravitational-wave science with machine learning
E Cuoco, J Powell, M Cavaglià, K Ackley, M Bejger, C Chatterjee, ...
Machine Learning: Science and Technology 2 (1), 011002, 2020
722020
CONVWAVE: Searching for Gravitational Waves with Fully Convolutional Neural Nets
T Gebhard, N Kilbertus, G Parascandolo, I Harry, B Schölkopf
Workshop on Deep Learning for Physical Sciences (DLPS) at the 31st …, 2017
142017
Software Quality Control at Belle II
M Ritter, T Kuhr, C Pulvermacher, M Kristof, T Hauth, T Gebhard
J. Phys. Conf. Ser. 898, 072029, 2017
22017
Physically constrained causal noise models for high-contrast imaging of exoplanets
TD Gebhard, MJ Bonse, SP Quanz, B Schölkopf
12020
Sample size estimation for outlier detection
T Gebhard, I Koerte, S Bouix
International Conference on Medical Image Computing and Computer-Assisted …, 2015
12015
Using machine learning to parameterize pressure-temperature profiles for atmospheric retrievals of exoplanets
T Gebhard, D Angerhausen, E Alei, B Konrad, B Schölkopf, SP Quanz
2022 Astrobiology Science Conference, 2022
2022
Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal framework
TD Gebhard, MJ Bonse, SP Quanz, B Schölkopf
arXiv preprint arXiv:2204.03439, 2022
2022
On the Applicability of Machine Learning to Aid the Search for Gravitational Waves at the LIGO Experiment
T Gebhard
Karlsruher Institut für Technologie Karlsruhe, 2018
2018
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