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Sungsoo Ahn

24 papers hereh-index 152.3k citations40 works total

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

author position
  • first author7
  • middle author15
  • last author2

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.LG17
  • stat.ML3
  • q-bio.QM2
  • cs.CV1
  • cs.DS1
same name
  • Sungsoo Ahn — 17 papers, h 7
  • Sungsoo Ahn — 15 papers, h 7
  • Sungsoo Ahn — 10 papers, h 2
  • Sungsoo Ahn — 8 papers, h 4
  • Sungsoo Ahn — 1 paper
  • Sungsoo Ahn — 1 paper, h 2

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
20152025
most citedLayer-adaptive sparsity for the Magnitude-based Pruning

69 citations · 259 across the 24 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.LG2021★ 2 cited

RoMA: Robust Model Adaptation for Offline Model-based Optimization

Sihyun Yu, Sungsoo Ahn, Le Song +1

We consider the problem of searching an input maximizing a black-box objective function given a static dataset of input-output queries. A popular approach to solving this problem i…

cs.LG2021★ 1 cited

Abstract Reasoning via Logic-guided Generation

Sihyun Yu, Sangwoo Mo, Sungsoo Ahn +1

Abstract reasoning, i.e., inferring complicated patterns from given observations, is a central building block of artificial general intelligence. While humans find the answer by ei…

cs.LG2021★ 2 cited

Self-Improved Retrosynthetic Planning

Junsu Kim, Sungsoo Ahn, Hankook Lee +1

Retrosynthetic planning is a fundamental problem in chemistry for finding a pathway of reactions to synthesize a target molecule. Recently, search algorithms have shown promising r…

cs.LG2021★ 7 cited

RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning

Hankook Lee, Sungsoo Ahn, Seung-Woo Seo +4

Retrosynthesis, of which the goal is to find a set of reactants for synthesizing a target product, is an emerging research area of deep learning. While the existing approaches have…

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