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researcher

D. Fox

4 papers hereh-index 265 citations7 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.HE1
  • cs.DC1
  • cs.LG1
  • hep-ex1
same name
  • D. Fox — 152 papers, h 134
  • D. Fox — 118 papers, h 55
  • D. Fox — 103 papers, h 29
  • D. Fox — 68 papers, h 40
  • D. Fox — 55 papers, h 4
  • D. Fox — 22 papers, h 18

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

most citedEnabling Machine Learning-Ready HPC Ensembles with Merlin

4 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

hep-ex2026

Sensitivity Projections for Low-Mass Dark Matter Annihilation with the IceCube Upgrade

R. Abbasi, M. Ackermann, J. Adams +412

The IceCube Upgrade, an extension designed to enhance the IceCube Neutrino Observatory's detection of neutrinos with energies between 1 GeV and 500 GeV, will markedly improve IceCu…

cs.LG2026

Learning Generation Orders for Masked Discrete Diffusion Models via Variational Inference

David Fox, Sam Bowyer, Song Liu +3

Masked discrete diffusion models (MDMs) are a promising new approach to generative modelling, offering the ability for parallel token generation and therefore greater efficiency th…

astro-ph.HE2026

Evidence for neutrino emission from X-ray Bright Seyfert Galaxies in the Southern Hemisphere using Enhanced Starting Track Events with IceCube

R. Abbasi, M. Ackermann, J. Adams +428

IceCube recently reported the observation of TeV neutrinos from the nearby Seyfert galaxy NGC~1068, and the corresponding neutrino flux is significantly higher than the upper limit…

cs.DC2019★ 4 cited

Enabling Machine Learning-Ready HPC Ensembles with Merlin

J. Luc Peterson, Ben Bay, Joe Koning +17

With the growing complexity of computational and experimental facilities, many scientific researchers are turning to machine learning (ML) techniques to analyze large scale ensembl…

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