Reading Materials
Training Materials
- Training Committee’s “The Hitchhiker’s Guide to Machine Learning” (requires Berkeley email account to view/edit)
Reviews
Living Review of ML for Particle Physics: As the name suggests, this is a review of machine learning in particle physics that is updated on a daily basis. Merge requests are welcome!
- Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
- Deep Learning and its Application to LHC Physics
- Machine Learning in High Energy Physics Community White Paper
- Machine learning at the energy and intensity frontiers of particle physics
- Machine and Deep Learning Applications in Particle Physics
- The Machine Learning Landscape of Top Taggers
- Dealing with Nuisance Parameters using Machine Learning in High Energy Physics: a Review
- Graph Neural Networks in Particle Physics
- A Review on Machine Learning for Neutrino Experiments
- Generative Networks for LHC events
- Parton distribution functions