IAIFI Summer School Tutorials

Authors: Javier Duarte , Dylan Rankin , Patrick McCormack

These tutorials accompany a set of two lectures by Javier Duarte at the 2022 IAIFI Summer School on (1) Representations, networks, and symmetries for learning from particle physics data and (2) Model compression and fast machine learning in particle physics. The tutorials are split into two parts, each paired with a lecture.

Check out the content below:

Representations, Networks, and Symmetries

• Tabular Data using Energy Flow Polynomials
• Jet Images
• Deep Sets
• Interaction Network GNN
• Lorentz-Equivariant GNN

Model Compression and Fast Machine Learning

• Getting Started
• Advanced Configuration
• Compression (Pruning)
• Quantization

References

• References