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 |