99 citations · 409 across the 21 of their papers we have counts for
3 papers · 1 filter
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
Jesse C. Cresswell, Brendan Leigh Ross, Gabriel Loaiza-Ganem +3
Precision measurements and new physics searches at the Large Hadron Collider require efficient simulations of particle propagation and interactions within the detectors. The most c…
Strength in numbers: optimal and scalable combination of LHC new-physics searches
Jack Y. Araz, Andy Buckley, Benjamin Fuks +4
To gain a comprehensive view of what the LHC tells us about physics beyond the Standard Model (BSM), it is crucial that different BSM-sensitive analyses can be combined. But in gen…
Testing the boundaries: Normalizing Flows for higher dimensional data sets
Humberto Reyes-Gonzalez, Riccardo Torre
Normalizing Flows (NFs) are emerging as a powerful class of generative models, as they not only allow for efficient sampling, but also deliver, by construction, density estimation.…