activity
20192024
most citedVariational Autoencoders for Generative Modelling of Water Cherenkov Detectors

5 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions

Ian Lu, Hao Jia, Sebastian Gonzalez +10

With the approach of the High Luminosity Large Hadron Collider (HL-LHC) era set to begin particle collisions by the end of this decade, it is evident that the computational demands…

cs.LG2024★ 1 cited

Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions

J. Quetzalcoatl Toledo-Marin, Sebastian Gonzalez, Hao Jia +9

Particle collisions at accelerators such as the Large Hadron Collider, recorded and analyzed by experiments such as ATLAS and CMS, enable exquisite measurements of the Standard Mod…

hep-ex2023★ 3 cited

CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models

Sehmimul Hoque, Hao Jia, Abhishek Abhishek +6

The Large Hadron Collider's high luminosity era presents major computational challenges in the analysis of collision events. Large amounts of Monte Carlo (MC) simulation will be re…

physics.ins-det2022★ 4 cited

CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation

Abhishek Abhishek, Eric Drechsler, Wojciech Fedorko +1

Calorimeter simulation is the most computationally expensive part of Monte Carlo generation of samples necessary for analysis of experimental data at the Large Hadron Collider (LHC…

physics.ins-det2019★ 5 cited

Variational Autoencoders for Generative Modelling of Water Cherenkov Detectors

Abhishek Abhishek, Wojciech Fedorko, Patrick de Perio +2

Matter-antimatter asymmetry is one of the major unsolved problems in physics that can be probed through precision measurements of charge-parity symmetry violation at current and ne…