Sarthak Chakraborty

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Shiv SainiAdobe ResearchVerified email at adobe.com
Sandip ChakrabortyAssociate Professor, Indian Institute of Technology KharagpurVerified email at cse.iitkgp.ac.in
Subrata MitraAdobe ResearchVerified email at adobe.com
Lovish ChopraStanford University | IIT KharagpurVerified email at stanford.edu
Shubham AgarwalAdobe ResearchVerified email at adobe.com
Murat KocaogluAssistant Professor, School of ECE, Purdue UniversityVerified email at purdue.edu
Saurabh BagchiElectrical and Computer Engineering, Computer Science; Director Army A2I2 & CRISP; Purdue UniversityVerified email at purdue.edu
Azam IkramGraduate Student at Purdue UniversityVerified email at purdue.edu
Koyel MukherjeeAdobe ResearchVerified email at adobe.com
Ayush ChauhanMicrosoft CorporationVerified email at microsoft.com
Atanu R SinhaAdobe ResearchVerified email at adobe.com
Manoj Ghuhan ArivazhaganGraduate Student, CMUVerified email at andrew.cmu.edu
Sunav ChoudharySenior Research Scientist, Adobe ResearchVerified email at adobe.com

Sarthak Chakraborty

PhD, University of Illinois Urbana-Champaign

Verified email at illinois.edu - Homepage

Distributed Systems Cloud Computing System Reliability ML for Systems


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Parima: Viewport adaptive 360-degree video streaming L Chopra, S Chakraborty, A Mondal, S Chakraborty Proceedings of the Web Conference 2021 (WWW 2021), 2379-2391, 2021	50	2021
Root Cause Analysis of Failures in Microservices through Causal Discovery MA Ikram, S Chakraborty, S Mitra, S Saini, S Bagchi, M Kocaoglu Advances in Neural Information Processing Systems (NeurIPS 2022), 2022	26	2022
CausIL: Causal Graph for Instance Level Microservice Data S Chakraborty, S Garg, S Agarwal, A Chauhan, S Saini Proceedings of the ACM Web Conference 2023 (WWW '23), 2023	3	2023
ESRO: Experience Assisted Service Reliability against Outages S Chakraborty, S Agarwal, S Garg, A Sethia, UN Pandey, V Aggarwal, ... Automated Software Engineering (ASE 2023), 2023	2	2023
Proof of federated training: accountable cross-network model training and inference S Chakraborty, S Chakraborty 2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-9, 2022	2	2022
Approximate Caching for Efficiently Serving Text-to-Image Diffusion Models S Agarwal, S Mitra, S Chakraborty, S Karanam, K Mukherjee, S Saini 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI 2024), 2024	1	2024
Outage-Watch: Early Prediction of Outages using Extreme Event Regularizer S Agarwal, S Chakraborty, S Garg, S Bisht, C Jain, A Gonuguntla, S Saini (ESEC/FSE 2023) Proceedings of the 31st ACM Joint European Software …, 2023		2023
LiveStreaming AI: Merchandisable Moment Identification and Offer Generation S Choudhary, AR Sinha, S Chakraborty, SS Kalakonda, L Dahiya, ... US Patent App. 18/176,114, 2023		2023
Generating Concise and Common User Representations for Edge Systems from Event Sequence Data stored on Hub Systems S Chakraborty, S Choudhary, AR Sinha, S Nair, M Ghuhan, Y Gagneja, ... US Patent App. 17/849,320, 2022		2022
Cross-Chain Training of Learning Models via Blockchain Interoperability S Chakraborty INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR West Bengal, India, 2021		2021
2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)\| 979-8-3503-2996-4/23/$31.00© 2023 IEEE\| DOI: 10.1109/ASE56229. 2023.00009 S Agarwal, V Aggarwal, U Alon, PC Amusuo, B Balcı, T Baral, S Barnett, ...

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