262 citations · 535 across the 15 of their papers we have counts for
7 papers · 1 filter
Dissecting Jet-Tagger Through Mechanistic Interpretability
Saurabh Rai, Sanmay Ganguly
Mechanistic interpretability seeks to reverse engineer a trained neural network by identifying the minimal subset of internal components. We perform a mechanistic interpretability…
HHH Whitepaper
Vuko Brigljevic, Dinko Ferencek, Greg Landsberg +31
We here report on the progress of the HHH Workshop, that took place in Dubrovnik in July 2023. After the discovery of a particle that complies with the properties of the Higgs boso…
Improving Di-Higgs Sensitivity at Future Colliders in Hadronic Final States with Machine Learning
Artur Apresyan, Daniel Diaz, Javier Duarte +8
One of the central goals of the physics program at the future colliders is to elucidate the origin of electroweak symmetry breaking, including precision measurements of the Higgs s…
Machine Learning and LHC Event Generation
Anja Butter, Tilman Plehn, Steffen Schumann +48
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predicti…
Light quark Yukawas in triboson final states
Adam Falkowski, Sanmay Ganguly, Phillippe Gras +4
Triple heavy vector boson production, , has recently been observed for the first time. We propose that precision measurements of this process provide an e…
Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report
G. Brooijmans, A. Buckley, S. Caron +87
This report presents the activities of the `New Physics' working group for the `Physics at TeV Colliders' workshop (Les Houches, France, 10--28 June, 2019). These activities includ…
Jet Cross-Section Measurements In CMS
Sanmay Ganguly, Monoranjan Guchait
The Large Hadron Collider (LHC) experiment has successfully completed data taking at center of mass (COM) energy 7 TeV in 2011 and very recently for 8 TeV. Measurement of cross sec…