Machine Learning for New Physics Searches

Abstract

This is the summary of a talk given at CIPANP 2018. I briefly introduce neural networks and then discuss a new technique for model-independent new physics searches in background-dominated datasets.

Talk presented CIPANP2018. 8 pages, LaTeX, 1 pdf figure

References in corpus (4)

• The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
• Classification without labels: Learning from mixed samples in high energy physics
• Learning New Physics from a Machine
• Learning to Classify from Impure Samples with High-Dimensional Data