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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 2023Show all

4 papers · 1 filter

cs.LG2023

Graph Encoding and Neural Network Approaches for Volleyball Analytics: From Game Outcome to Individual Play Predictions

Rhys Tracy, Haotian Xia, Alex Rasla +2

This research aims to improve the accuracy of complex volleyball predictions and provide more meaningful insights to coaches and players. We introduce a specialized graph encoding…

cs.LG2023★ 3 cited

Link Prediction without Graph Neural Networks

Zexi Huang, Mert Kosan, Arlei Silva +1

Link prediction, which consists of predicting edges based on graph features, is a fundamental task in many graph applications. As for several related problems, Graph Neural Network…

cs.LG2023★ 1 cited

Robust Ante-hoc Graph Explainer using Bilevel Optimization

Kha-Dinh Luong, Mert Kosan, Arlei Lopes Da Silva +1

Explaining the decisions made by machine learning models for high-stakes applications is critical for increasing transparency and guiding improvements to these decisions. This is p…

cs.CV2023★ 2 cited

Learning Prototype Classifiers for Long-Tailed Recognition

Saurabh Sharma, Yongqin Xian, Ning Yu +1

The problem of long-tailed recognition (LTR) has received attention in recent years due to the fundamental power-law distribution of objects in the real-world. Most recent works in…

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