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Adversarially Learned Anomaly Detection on CMS Open Data

The code for the paper "Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark" (authors: Oliver Knapp and Guenther Dissertori and Olmo Cerri and Thong Q. Nguyen and Jean-Roch Vlimant and Maurizio Pierini).

Please cite our work if you find it useful for your research and work.

@article{Knapp2021,
  doi = {10.1140/epjp/s13360-021-01109-4},
  url = {https://doi.org/10.1140/epjp/s13360-021-01109-4},
  year = {2021},
  month = feb,
  publisher = {Springer Science and Business Media {LLC}},
  volume = {136},
  number = {2},
  author = {O. Knapp and O. Cerri and G. Dissertori and T. Q. Nguyen and M. Pierini and J. R. Vlimant},
  title = {Adversarially Learned Anomaly Detection on {CMS} open data: re-discovering the top quark},
  journal = {The European Physical Journal Plus}
}

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The code for the paper "Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark"

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