Supriyo Ghosh | DeepAI

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∙ 05/25/2023

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents

Ensuring the reliability and availability of cloud services necessitates...

0 Yinfang Chen, et al. ∙

∙ 02/15/2023

Deep Offline Reinforcement Learning for Real-World Treatment Optimization Applications

There is increasing interest in data-driven approaches for dynamically c...

0 Milashini Nambiar, et al. ∙

∙ 01/10/2023

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

Incident management for cloud services is a complex process involving se...

0 Toufique Ahmed, et al. ∙

∙ 02/27/2022

Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming

We propose a framework, called neural-progressive hedging (NP), that lev...

0 Supriyo Ghosh, et al. ∙

∙ 05/31/2021

Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services

Site Reliability Engineers (SREs) play a key role in issue identificatio...

5 Amar Prakash Azad, et al. ∙

∙ 06/27/2020

Tusas: A fully implicit parallel approach for coupled nonlinear equations

We develop a fully-coupled, fully-implicit approach for phase-field mode...

0 Supriyo Ghosh, et al. ∙

∙ 04/03/2020

A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control

Air traffic control is an example of a highly challenging operational pr...

32 Supriyo Ghosh, et al. ∙

∙ 11/24/2019

An Iterative Security Game for Computing Robust and Adaptive Network Flows

The recent advancement in cyberphysical systems has led to an exponentia...

0 Supriyo Ghosh, et al. ∙

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