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Ambuj K. Singh

45 papers hereh-index 467.6k citations302 works total

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

author position
  • middle author11
  • last author32

Across the 43 of 45 papers where every author was matched, so the position is known.

fields
  • cs.LG16
  • cs.SI13
  • cs.DB7
  • cs.CV2
  • q-bio.NC2
  • cs.AI1
same name
  • Ambuj K. Singh — 5 papers, h 2
  • Ambuj K. Singh — 4 papers, h 3
  • Ambuj K. Singh — 1 paper

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
20092023
most citedLearning Heuristics over Large Graphs via Deep Reinforcement Learning

69 citations · 327 across the 44 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

eess.IV2019

Estimating localized complexity of white-matter wiring with GANs

Haraldur T. Hallgrimsson, Richika Sharan, Scott T. Grafton +1

In-vivo examination of the physical connectivity of axonal projections through the white matter of the human brain is made possible by diffusion weighted magnetic resonance imaging…

cs.LG2019★ 69 cited

Learning Heuristics over Large Graphs via Deep Reinforcement Learning

Sahil Manchanda, Akash Mittal, Anuj Dhawan +3

There has been an increased interest in discovering heuristics for combinatorial problems on graphs through machine learning. While existing techniques have primarily focused on ob…

cs.SI2019★ 8 cited

Influence Minimization Under Budget and Matroid Constraints: Extended Version

Sourav Medya, Arlei Silva, Ambuj Singh

Recently, online social networks have become major battlegrounds for political campaigns, viral marketing, and the dissemination of news. As a consequence, ''bad actors'' are incre…

cs.SI2019★ 8 cited

K-Core Minimization: A Game Theoretic Approach

Sourav Medya, Tiyani Ma, Arlei Silva +1

K-cores are maximal induced subgraphs where all vertices have degree at least k. These dense patterns have applications in community detection, network visualization and protein fu…

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