5 citations · 5 across the 1 of their papers we have counts for
4 papers
Sensing Higgs cascade decays through memory
Christoph Englert, Malcolm Fairbairn, Michael Spannowsky +2
Beyond the Standard Model scenarios with extensions of the Higgs sector typically predict new resonances that can undergo a series of cascade decays to detectable Standard Model pa…
Dark Matter Subhalos, Strong Lensing and Machine Learning
Sreedevi Varma, Malcolm Fairbairn, Julio Figueroa
We investigate the possibility of applying machine learning techniques to images of strongly lensed galaxies to detect a low mass cut-off in the spectrum of dark matter sub-halos w…
The Machine Learning Landscape of Top Taggers
G. Kasieczka, T. Plehn, A. Butter +24
Based on the established task of identifying boosted, hadronically decaying top quarks, we compare a wide range of modern machine learning approaches. Unlike most established metho…
Reports of My Demise Are Greatly Exaggerated: -subjettiness Taggers Take On Jet Images
Liam Moore, Karl Nordström, Sreedevi Varma +1
We compare the performance of a convolutional neural network (CNN) trained on jet images with dense neural networks (DNNs) trained on n-subjettiness variables to study the distingu…