2021

A Living Review of Machine Learning for Particle Physics

Feickert, Matthew, Nachman, Benjamin

Understand

Modern machine learning techniques, including deep learning, are rapidly being applied, adapted, and developed for high energy physics.

  • Given the fast pace of this research, we have created a living review with the goal of providing a nearly comprehensive list of citations for those developing and applying these approaches to experimental, phenomenological, or theoretical analyses.
  • As a living document, it will be updated as often as possible to incorporate the latest developments.
  • A list of proper (unchanging) reviews can be found within.

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