most citedGraph Neural Network-based Tracking as a Service

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

hep-ph2025

Fair Universe Higgs Uncertainty Challenge

Ragansu Chakkappai, Wahid Bhimji, Paolo Calafiura +16

This competition in high-energy physics (HEP) and machine learning was the first to strongly emphasise uncertainties in cross-section measurement. Partici…

hep-ph2024

FAIR Universe HiggsML Uncertainty Dataset and Competition

Lisa Benato, Wahid Bhimji, Paolo Calafiura +26

The FAIR Universe HiggsML Uncertainty Challenge focused on measuring the physical properties of elementary particles with imperfect simulators. Participants were required to comput…

physics.comp-ph2024★ 1 cited

Graph Neural Network-based Tracking as a Service

Haoran Zhao, Andrew Naylor, Shih-Chieh Hsu +8

Recent studies have shown promising results for track finding in dense environments using Graph Neural Network (GNN)-based algorithms. However, GNN-based track finding is computati…

q-bio.NC2024

FPGA Deployment of LFADS for Real-time Neuroscience Experiments

Xiaohan Liu, ChiJui Chen, YanLun Huang +6

Large-scale recordings of neural activity are providing new opportunities to study neural population dynamics. A powerful method for analyzing such high-dimensional measurements is…

cs.LG2024★ 1 cited

Ultra Fast Transformers on FPGAs for Particle Physics Experiments

Zhixing Jiang, Dennis Yin, Elham E Khoda +6

This work introduces a highly efficient implementation of the transformer architecture on a Field-Programmable Gate Array (FPGA) by using the \texttt{hls4ml} tool. Given the demons…