64 citations · 120 across the 5 of their papers we have counts for
3 papers · 1 filter
Weakly-Supervised Anomaly Detection in the Milky Way
Mariel Pettee, Sowmya Thanvantri, Benjamin Nachman +3
Large-scale astrophysics datasets present an opportunity for new machine learning techniques to identify regions of interest that might otherwise be overlooked by traditional searc…
Learning Likelihood Ratios with Neural Network Classifiers
Shahzar Rizvi, Mariel Pettee, Benjamin Nachman
The likelihood ratio is a crucial quantity for statistical inference in science that enables hypothesis testing, construction of confidence intervals, reweighting of distributions,…
Fast Point Cloud Generation with Diffusion Models in High Energy Physics
Vinicius Mikuni, Benjamin Nachman, Mariel Pettee
Many particle physics datasets like those generated at colliders are described by continuous coordinates (in contrast to grid points like in an image), respect a number of symmetri…