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D. Rankin

17 papers hereh-index 7224k citations1.1k works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author15

Across the 16 of 17 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • hep-ph3
  • physics.comp-ph3
  • physics.ins-det3
  • gr-qc2
  • physics.data-an1
same name
  • D. Rankin — 24 papers
  • D. Rankin — 20 papers
  • D. Rankin — 17 papers, h 6
  • D. Rankin — 14 papers
  • D. Rankin — 6 papers
  • D. Rankin — 6 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedFast convolutional neural networks on FPGAs with hls4ml

131 citations · 624 across the 17 of their papers we have counts for

collaborators
Showing physics.ins-detShow all

3 papers · 1 filter

physics.ins-det2022★ 6 cited

Smart sensors using artificial intelligence for on-detector electronics and ASICs

Gabriella Carini, Grzegorz Deptuch, Jennet Dickinson +19

Cutting edge detectors push sensing technology by further improving spatial and temporal resolution, increasing detector area and volume, and generally reducing backgrounds and noi…

physics.ins-det2020★ 32 cited

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Aneesh Heintz, Vesal Razavimaleki, Javier Duarte +18

We develop and study FPGA implementations of algorithms for charged particle tracking based on graph neural networks. The two complementary FPGA designs are based on OpenCL, a fram…

physics.ins-det2020★ 50 cited

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta +19

Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.