Machine Learning Resources

A curated list of machine learning resources relevant to research at Jefferson Laboratory

Table of Contents

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• Bayesian Optimization
• Gaussian Processes
• General
• Tracking

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Bayesian Optimization

• "A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning" [49 pages]
• "A Tutorial on Bayesian Optimization" [22 pages]

Gaussian Processes

• "Gaussian Processes: A Quick Introduction" [13 pages]

General

• "A High-bias, Low-variance Introduction to Machine Learning for Physicists" [122 pages]

Tracking

• JLab projects:
  • ML JLab tracking projects for Hall-B, Hall-D and EIC [GitHub repo]
• Related:
  • TrackML Particle Tracking Challenge [Kaggle competition]
• Articles:
  • Novel deep learning methods for track reconstruction [Article arxiv hep-ex 14 Oct 2018]