178 citations · 1.3k across the 184 of their papers we have counts for
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physics.ins-det2022★ 1 cited
Simulation of dielectric axion haloscopes with deep neural networks: a proof-of-principle
Philipp Alexander Jung, Bernardo Ary dos Santos, Dominik Bergermann +6
Dielectric axion haloscopes, such as the MADMAX experiment, are promising concepts for the direct search for dark matter axions. A reliable simulation is a fundamental requirement…
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…