activity
20172025
most citedPolarized and unpolarized gluon PDFs: generative machine learning applications for lattice QCD matrix elements at short distance and large momentum

5 citations · 12 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Prediction of Hospital Associated Infections During Continuous Hospital Stays

Rituparna Datta, Methun Kamruzzaman, Eili Y. Klein +4

The US Centers for Disease Control and Prevention (CDC), in 2019, designated Methicillin-resistant Staphylococcus aureus (MRSA) as a serious antimicrobial resistance threat. The ri…

hep-lat2024★ 5 cited

Polarized and unpolarized gluon PDFs: generative machine learning applications for lattice QCD matrix elements at short distance and large momentum

Talal Ahmed Chowdhury, Taku Izubuchi, Methun Kamruzzaman +6

Lattice quantum chromodynamics (QCD) calculations share a defining challenge by requiring a small finite range of spatial separation between quark/gluon bilinears for controlla…

cs.CG2021★ 3 cited

Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data

Youjia Zhou, Methun Kamruzzaman, Patrick Schnable +3

High-throughput technologies to collect field data have made observations possible at scale in several branches of life sciences. The data collected can range from the molecular le…

cs.CG2017★ 4 cited

Interesting Paths in the Mapper

Ananth Kalyanaraman, Methun Kamruzzaman, Bala Krishnamoorthy

The Mapper produces a compact summary of high dimensional data as a simplicial complex. We study the problem of quantifying the interestingness of subpopulations in a Mapper, which…

q-bio.QM2017

Hyppo-X: A Scalable Exploratory Framework for Analyzing Complex Phenomics Data

Methun Kamruzzaman, Ananth Kalyanaraman, Bala Krishnamoorthy +2

Phenomics is an emerging branch of modern biology that uses high throughput phenotyping tools to capture multiple environmental and phenotypic traits, often at massive spatial and…