531 citations · 7.1k across the 80 of their papers we have counts for
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Asymmetry Observables and the Origin of Anomalies
Pouya Asadi, Matthew R. Buckley, David Shih
The anomalies are among the longest-standing and most statistically significant hints of physics beyond the Standard Model. Many models have been proposed to explain…
Searching for New Physics with Deep Autoencoders
Marco Farina, Yuichiro Nakai, David Shih
We introduce a potentially powerful new method of searching for new physics at the LHC, using autoencoders and unsupervised deep learning. The key idea of the autoencoder is that i…
It's all right(-handed neutrinos): a new model for the anomaly
Pouya Asadi, Matthew R. Buckley, David Shih
The measured -meson semi-leptonic branching ratios and have long-standing deviations between theory and experiment. We introduce a model which explains both an…
Pulling Out All the Tops with Computer Vision and Deep Learning
Sebastian Macaluso, David Shih
We apply computer vision with deep learning -- in the form of a convolutional neural network (CNN) -- to build a highly effective boosted top tagger. Previous work (the "DeepTop" t…