489 citations · 949 across the 29 of their papers we have counts for
9 papers · 1 filter
Fast multi-geometry calorimeter simulation with conditional self-attention variational autoencoders
Dylan Smith, Aishik Ghosh, Junze Liu +2
The simulation of detector response is a vital aspect of data analysis in particle physics, but current Monte Carlo methods are computationally expensive. Machine learning methods,…
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
Alexander Shmakov, Kevin Greif, Michael James Fenton +3
The measurements performed by particle physics experiments must account for the imperfect response of the detectors used to observe the interactions. One approach, unfolding, stati…
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
Alexander Shmakov, Kevin Greif, Michael Fenton +3
High-energy collisions at the Large Hadron Collider (LHC) provide valuable insights into open questions in particle physics. However, detector effects must be corrected before meas…
Interpretable Uncertainty Quantification in AI for HEP
Thomas Y. Chen, Biprateep Dey, Aishik Ghosh +3
Estimating uncertainty is at the core of performing scientific measurements in HEP: a measurement is not useful without an estimate of its uncertainty. The goal of uncertainty quan…
Search for displaced leptons in TeV collisions with the ATLAS detector
ATLAS Collaboration
A search for charged leptons with large impact parameters using 139 fb of TeV collision data from the ATLAS detector at the LHC is presented, addressing…
Search for resonances decaying into a weak vector boson and a Higgs boson in the fully hadronic final state produced in protonproton collisions at TeV with the ATLAS detector
ATLAS Collaboration
A search for heavy resonances decaying into a or boson and a Higgs boson produced in protonproton collisions at the Large Hadron Collider at TeV is prese…