Timothy Gebhard

201720182019202020212 4 9 40 1

Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Niki KilbertusHelmholtz AIVerified email at helmholtz-muenchen.de
Giambattista ParascandoloPhD Student, Max Planck Institute for Intelligent Systems & ETH ZurichVerified email at tue.mpg.de
Thomas HauthPost-Doc, Karlsruhe Institute of Technology (KIT)Verified email at kit.edu
Sylvain BouixAssociate Professor, Harvard Medical SchoolVerified email at bwh.harvard.edu
Inga Katharina KoerteLudwig-Maximilian-University Munich and Harvard Medical SchoolVerified email at med.lmu.de

Timothy Gebhard

PhD Student at the Max Planck Institute for Intelligent Systems

Verified email at tue.mpg.de - Homepage


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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	39	2019
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	12	2017
Enhancing Gravitational-Wave Science with Machine Learning E Cuoco, J Powell, M Cavaglià, K Ackley, M Bejger, C Chatterjee, ... arXiv preprint arXiv:2005.03745, 2020	4	2020
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	2	2017
Sample size estimation for outlier detection T Gebhard, I Koerte, S Bouix International Conference on Medical Image Computing and Computer-Assisted …, 2015	1	2015
Physically constrained causal noise models for high-contrast imaging of exoplanets TD Gebhard, MJ Bonse, SP Quanz, B Schölkopf		2020
On the Applicability of Machine Learning to Aid the Search for Gravitational Waves at the LIGO Experiment T Gebhard Karlsruhe Institute of Technology Karlsruhe, 2018		2018

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