Publications

Enhancing Gravitational-Wave Science with Machine Learning

Elena Cuoco, Jade Powell, Marco Cavaglià, Kendall Ackley, Michal Bejger, Chayan Chatterjee, Michael Coughlin, Scott Coughlin, Paul Easter, Reed Essick, Hunter Gabbard, Timothy Gebhard, Shaon Ghosh, Leila Haegel, Alberto Iess, David Keitel, Zsuzsa Marka, Szabolcs Marka, Filip Morawski, Tri Nguyen, Rich Ormiston, Michael Puerrer, Massimiliano Razzano, Kai Staats, Gabriele Vajente, Daniel Williams

Currently under review at MLST,

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Cite this paper

@Article{         Cuoco_2020,
  title         = {Enhancing Gravitational-Wave Science with Machine
                  Learning},
  author        = {Elena Cuoco and Jade Powell and Marco Cavaglià and
                  Kendall Ackley and Michal Bejger and Chayan Chatterjee and
                  Michael Coughlin and Scott Coughlin and Paul Easter and
                  Reed Essick and Hunter Gabbard and Timothy Gebhard and
                  Shaon Ghosh and Leila Haegel and Alberto Iess and David
                  Keitel and Zsuzsa Marka and Szabolcs Marka and Filip
                  Morawski and Tri Nguyen and Rich Ormiston and Michael
                  Puerrer and Massimiliano Razzano and Kai Staats and
                  Gabriele Vajente and Daniel Williams},
  year          = {2020},
  eprint        = {2005.03745},
  eprinttype    = {arXiv}
}

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

Timothy Gebhard, Niki Kilbertus, Ian Harry, Bernhard Schölkopf

Physical Review D, 100 (6),

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Cite this paper

@Article{         Gebhard_2019,
  title         = {Convolutional neural networks: A magic bullet for
                  gravitational-wave detection?},
  author        = {Timothy D. Gebhard and Niki Kilbertus and Ian Harry and
                  Bernhard Schölkopf},
  year          = {2019},
  month         = {9},
  journal       = {Physical Review D},
  volume        = {100},
  number        = {6},
  doi           = {10.1103/physrevd.100.063015},
  publisher     = {American Physical Society ({APS})},
  url           = {https://doi.org/10.1103/physrevd.100.063015}
}
Code Dataset DOI

Software Quality Control at Belle II

Martin Ritter, Thomas Kuhr, Thomas Hauth, Timothy Gebhard, Michal Kristof, Christian Pulvermacher

Journal of Physics: Conference Series, Volume 898,

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@Article{         Ritter_2017,
  title         = {Software Quality Control at Belle {II}},
  author        = {Ritter, Martin and Kuhr, Thomas and Hauth, Thomas and
                  Gebhard, Timothy and Kristof, Michal and Pulvermacher,
                  Christian},
  year          = {2017},
  month         = {10},
  journal       = {Journal of Physics: Conference Series},
  volume        = {898},
  pages         = {072029},
  doi           = {10.1088/1742-6596/898/7/072029},
  publisher     = {{IOP} Publishing}
}
DOI

Sample Size Estimation for Outlier Detection

Timothy Gebhard, Inga Koerte, Sylvain Bouix

18th International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI 2015),

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@InProceedings{   Gebhard_2015,
  title         = {Sample Size Estimation for Outlier Detection},
  author        = {Gebhard, Timothy and Koerte, Inga and Bouix, Sylvain},
  year          = {2015},
  pages         = {743--750},
  doi           = {10.1007/978-3-319-24574-4_89},
  booktitle     = {Medical Image Computing and Computer-Assisted Intervention
                  -- MICCAI 2015},
  publisher     = {Springer International Publishing},
  editor        = {Navab, Nassir and Hornegger, Joachim and Wells, William M.
                  and Frangi, Alejandro F.},
  isbn          = {978-3-319-24574-4}
}
Poster DOI Oral