Front matter
Abstract of the Dissertation
Introduction
I
Theoretical Background
II
Experimental Background
III
AI/ML and Statistics Background
7
Machine Learning for HEP
7.1
Introduction
7.2
Equivariant neural networks
7.3
Autoencoders and generative models
8
Data Analysis and Statistical Interpretation
IV
Accelerating Simulations with AI
V
Searches for High Energy Higgs Boson Pairs
VI
AI for Jets
VII
Appendix
Bibliography
⭠
⭢
Chapter 7
Machine Learning for HEP
7.1
Introduction
7.2
Equivariant neural networks
7.3
Autoencoders and generative models
⭠
⭢
