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researcher

Y. Go

4 papers hereh-index 7425.8k citations908 works total

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • nucl-ex2
  • hep-ph1
  • physics.data-an1
same name
  • Y. Go — 2 papers, h 1
  • Y. Go — 2 papers, h 29
  • Y. Go — 1 paper, h 0
  • Y. Go — 1 paper, h 0
  • Y. Go — 1 paper, h 1

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

collaborators
Showing physics.data-anShow all

1 paper · 1 filter

physics.data-an2025

Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments

Yeonju Go, Dmitrii Torbunov, Timothy Rinn +6

Artificial intelligence (AI) generative models, such as generative adversarial networks (GANs), variational auto-encoders, and normalizing flows, have been widely used and studied…

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