Supriyo Ghosh - RankMe

44 papers A* 13A 2B 1Journal 19Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling. ACL (Findings) Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Rahul Madhavan, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
2025	—	`conf`	TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. ACL (Findings) Shivam Shandilya, Menglin Xia, Supriyo Ghosh, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Rühle, Saravan Rajmohan
2025	J	`jnl`	eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization. CoRR Drishti Goel, Raghav Magazine, Supriyo Ghosh, Akshay Nambi, Prathamesh Deshpande, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
2024	—	`conf`	Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. SIGSOFT FSE Companion Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
2024	J	`jnl`	Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. CoRR Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
2024	A	`conf`	Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. EuroSys Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu
2024	—	`conf`	Dependency Aware Incident Linking in Large Cloud Systems. WWW (Companion Volume) Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
2024	J	`jnl`	Dependency Aware Incident Linking in Large Cloud Systems. CoRR Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan
2024	J	`jnl`	Kinetics of orbital ordering in cooperative Jahn-Teller models: Machine-learning enabled large-scale simulations. CoRR Supriyo Ghosh, Sheng Zhang, Chen Cheng, Gia-Wei Chern
2024	J	`jnl`	Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC. CoRR Aditya Soni, Mayukh Das, Anjaly Parayil, Supriyo Ghosh, Shivam Shandilya, Ching-An Cheng, Vishak Gopal, Sami Khairy, Gabriel Mittag, Yasaman Hosseinkashi, Chetan Bansal
2024	J	`jnl`	TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. CoRR Shivam Shandilya, Menglin Xia, Supriyo Ghosh, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Rühle
2024	J	`jnl`	Unveiling Context-Aware Criteria in Self-Assessing LLMs. CoRR Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
2024	—	`conf`	X-Lifecycle Learning for Cloud Incident Management using LLMs. SIGSOFT FSE Companion Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
2024	J	`jnl`	X-lifecycle Learning for Cloud Incident Management using LLMs. CoRR Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
2023	J	`jnl`	Deep Offline Reinforcement Learning for Real-World Treatment Optimization Applications. CoRR Milashini Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
2023	A*	`conf`	Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications. KDD Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy
2023	—	`conf`	Detection Is Better Than Cure: A Cloud Incidents Perspective. ESEC/SIGSOFT FSE Vaibhav Ganatra, Anjaly Parayil, Supriyo Ghosh, Yu Kang, Minghua Ma, Chetan Bansal, Suman Nath, Jonathan Mace
2023	J	`jnl`	Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. CoRR Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
2023	A*	`conf`	Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. ICSE Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan
2023	J	`jnl`	Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. CoRR Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan
2022	J	`jnl`	An iterative security game for computing robust and adaptive network flows. Comput. Oper. Res. Supriyo Ghosh, Patrick Jaillet
2022	—	`conf`	How to fight production incidents?: an empirical study on a large-scale cloud service. SoCC Supriyo Ghosh, Manish Shetty, Chetan Bansal, Suman Nath
2022	J	`jnl`	Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming. CoRR Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
2022	A	`conf`	Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. UAI Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen
2022	A*	`conf`	Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. AAAI Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern
2022	J	`jnl`	Tusas: A fully implicit parallel approach for coupled phase-field equations. J. Comput. Phys. Supriyo Ghosh, Christopher K. Newman, Marianne M. Francois
2021	A*	`conf`	A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control. ICAPS Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala
2021	J	`jnl`	Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. CoRR Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra
2020	J	`jnl`	A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control. CoRR Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala
2020	J	`jnl`	Tusas: A fully implicit parallel approach for coupled nonlinear equations. CoRR Supriyo Ghosh, Christopher K. Newman, Marianne M. Francois
2019	J	`jnl`	An Iterative Security Game for Computing Robust and Adaptive Network Flows. CoRR Supriyo Ghosh, Patrick Jaillet
2019	A*	`conf`	Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. IJCAI Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet
2018	A*	`conf`	Dispatch Guided Allocation Optimization for Effective Emergency Response. AAAI Supriyo Ghosh, Pradeep Varakantham
2018	A*	`conf`	Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems. ICAPS Muralidhar Konda, Supriyo Ghosh, Pradeep Varakantham
2017	J	`jnl`	Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems. J. Artif. Intell. Res. Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2017	A*	`conf`	Incentivizing the Use of Bike Trailers for Dynamic Repositioning in Bike Sharing Systems. ICAPS Supriyo Ghosh, Pradeep Varakantham
2017	A*	`conf`	Online Repositioning in Bike Sharing Systems. ICAPS Meghna Lowalekar, Pradeep Varakantham, Supriyo Ghosh, Sanjay Dominik Jena, Patrick Jaillet
2016	A*	`conf`	Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems. IJCAI Supriyo Ghosh, Michael A. Trick, Pradeep Varakantham
2016	A*	`conf`	Strategic Planning for Setting Up Base Stations in Emergency Medical Systems. ICAPS Supriyo Ghosh, Pradeep Varakantham
2015	—	`conf`	Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. AAAI Workshop: AI for Cities Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2015	A*	`conf`	Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. ICAPS Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2015	B	`conf`	Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. SOCS Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2015	A*	`conf`	Probabilistic Inference Based Message-Passing for Resource Constrained DCOPs. IJCAI Supriyo Ghosh, Akshat Kumar, Pradeep Varakantham
2013	—	`conf`	Exploiting MAS-Based Simulation to Improve the Indian Railways' Efficiency. MATES Supriyo Ghosh, Animesh Dutta, Viviana Mascardi, Daniela Briola