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Supriyo Ghosh

IBM Research

7 papers hereh-index 12834 citations29 works total

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

author position
  • first author3
  • middle author3

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.SE2
  • cs.AI1
  • cs.GT1
affiliations
  • IBM Research
  • Massachusetts Institute of Technology
  • Singapore Management University
  • Carnegie Mellon University
  • A*STAR
HomepageORCID 0000-0001-7275-3296
same name
  • Supriyo Ghosh — 33 papers, h 17
  • Supriyo Ghosh — 9 papers, h 6
  • Supriyo Ghosh — 5 papers, h 1
  • Supriyo Ghosh — 4 papers, h 4
  • Supriyo Ghosh — 4 papers, h 1
  • Supriyo Ghosh — 4 papers, h 3

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
20192023
most citedA Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control

16 citations · 28 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.SE2023★ 6 cited

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Yinfang Chen, Huaibing Xie, Minghua Ma +15

Ensuring the reliability and availability of cloud services necessitates efficient root cause analysis (RCA) for cloud incidents. Traditional RCA methods, which rely on manual inve…

cs.SE2023★ 1 cited

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Toufique Ahmed, Supriyo Ghosh, Chetan Bansal +3

Incident management for cloud services is a complex process involving several steps and has a huge impact on both service health and developer productivity. On-call engineers requi…

cs.LG2023★ 2 cited

Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications

Milashini Nambiar, Supriyo Ghosh, Priscilla Ong +3

There is increasing interest in data-driven approaches for recommending optimal treatment strategies in many chronic disease management and critical care applications. Reinforcemen…

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