1.3k citations · 7.7k across the 121 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2024
Neural Quasiprobabilistic Likelihood Ratio Estimation with Negatively Weighted Data
Matthew Drnevich, Stephen Jiggins, Judith Katzy +1
Motivated by real-world situations found in high energy particle physics, we consider a generalisation of the likelihood-ratio estimation task to a quasiprobabilistic setting where…
stat.ML2020
Adversarial domain adaptation to reduce sample bias of a high energy physics classifier
Jose M. Clavijo, Paul Glaysher, Judith M. Katzy +1
We apply adversarial domain adaptation in unsupervised setting to reduce sample bias in a supervised high energy physics events classifier training. We make use of a neural network…