4 citations · 4 across the 3 of their papers we have counts for
3 papers
hep-ph2024
Variational autoencoder inverse mapper for extraction of Compton form factors: Benchmarks and conditional learning
Fayaz Hossen, Douglas Adams, Joshua Bautista +8
Deeply virtual exclusive scattering processes (DVES) serve as precise probes of nucleon quark and gluon distributions in coordinate space. These distributions are derived from gene…
q-bio.QM2022
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning
Meng Wang, Chuqi Lei, Jianxin Wang +2
Human leukocyte antigen (HLA) is an important molecule family in the field of human immunity, which recognizes foreign threats and triggers immune responses by presenting peptides…
hep-ph2022★ 4 cited
Benchmarks for a Global Extraction of Information from Deeply Virtual Exclusive Scattering
Manal Almaeen, Jake Grigsby, Joshua Hoskins +4
We develop a framework to establish benchmarks for machine learning and deep neural networks analyses of exclusive scattering cross sections (FemtoNet). Within this framework we pr…