1 citations · 2 across the 5 of their papers we have counts for
5 papers
MEDIC: a network for monitoring data quality in collider experiments
Juvenal Bassa, Arghya Chattopadhyay, Sudhir Malik +1
Data Quality Monitoring (DQM) is a crucial component of particle physics experiments and ensures that the recorded data is of the highest quality, and suitable for subsequent physi…
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
Andrew Ferguson, Marisa LaFleur, Lars Ruthotto +97
This community paper developed out of the NSF Workshop on the Future of Artificial Intelligence (AI) and the Mathematical and Physics Sciences (MPS), which was held in March 2025 w…
Jet Image Tagging Using Deep Learning: An Ensemble Model
Juvenal Bassa, Vidya Manian, Sudhir Malik +1
Jet classification in high-energy particle physics is important for understanding fundamental interactions and probing phenomena beyond the Standard Model. Jets originate from the…
Jet Image Generation in High Energy Physics Using Diffusion Models
Victor D. Martinez, Vidya Manian, Sudhir Malik
This article presents, for the first time, the application of diffusion models for generating jet images corresponding to proton-proton collision events at the Large Hadron Collide…
A multicategory jet image classification framework using deep neural network
Jairo Orozco Sandoval, Vidya Manian, Sudhir Malik
Jet point cloud images are high dimensional data structures that needs to be transformed to a separable feature space for machine learning algorithms to distinguish them with simpl…