1 citations · 2 across the 7 of their papers we have counts for
7 papers
B-jet Tagging Using a Hybrid Edge Convolution and Transformer Architecture
Diego F. Vasquez Plaza, Vidya Manian
Jet flavor tagging plays an important role in precise Standard Model measurement enabling the extraction of mass dependence in jet-quark interaction and quark-gluon plasma (QGP) in…
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…
An Elliptic Kernel Unsupervised Autoencoder-Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing
Estefania Alfaro-Mejia, Carlos J Delgado, Vidya Manian
Spectral Unmixing is an important technique in remote sensing used to analyze hyperspectral images to identify endmembers and estimate abundance maps. Over the past few decades, pe…
Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification
Harshini Gangapuram, Vidya Manian
Brain responses related to working memory originate from distinct brain areas and oscillate at different frequencies. EEG signals with high temporal correlation can effectively cap…