6 citations · 6 across the 3 of their papers we have counts for
3 papers
hep-ex2023
A modern framework for jet tagger development
Annika Stein
This paper presents a new tool to perform various steps in jet tagger development in an efficient and comprehensive way. A common data structure is used for training, as well as fo…
hep-ex2023
Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface
Annika Stein
In the field of high-energy physics, deep learning algorithms continue to gain in relevance and provide performance improvements over traditional methods, for example when identify…
physics.data-an2022★ 6 cited
Improving Robustness of Jet Tagging Algorithms with Adversarial Training
Annika Stein, Xavier Coubez, Spandan Mondal +2
Deep learning is a standard tool in the field of high-energy physics, facilitating considerable sensitivity enhancements for numerous analysis strategies. In particular, in identif…