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Soumyendu Sarkar
Soumyendu Sarkar
Senior Distinguished Technologist, Senior Director - Artificial Intelligence, HP-Labs, Hewlett
Verified email at hpe.com - Homepage
Title
Cited by
Cited by
Year
Testable design of RMC networks with universal tests for detecting stuck-at and bridging faults
BB Bhattacharya, B Gupta, S Sarkar, AK Choudhury
IEE Proceedings E (Computers and Digital Techniques) 132 (3), 155-162, 1985
301985
Internet of Things—Robustness and reliability
S Sarkar
Internet of Things, 201-218, 2016
222016
Multi-agent reinforcement learning controller to maximize energy efficiency for multi-generator industrial wave energy converter
S Sarkar, V Gundecha, A Shmakov, S Ghorbanpour, AR Babu, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12135 …, 2022
192022
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters
S Sarkar, V Gundecha, S Ghorbanpour, A Shmakov, AR Babu, A Pichard, ...
Proceedings of the IEEE 18th International Conference on Automation Science …, 2022
162022
Measuring robustness with black-box adversarial attack using reinforcement learning
S Sarkar, S Mousavi, AR Babu, V Gundecha, S Ghorbanpour, ...
NeurIPS ML Safety Workshop, 2022
112022
Multi-objective Reinforcement Learning Controller for Multi-Generator Industrial Wave Energy Converter
S Sarkar, V Gundecha, A Shmakov, S Ghorbanpour, A Ramesh Babu, ...
NeurIPs Tackling Climate Change with Machine Learning Workshop, 2021
112021
Rl-cam: Visual explanations for convolutional networks using reinforcement learning
S Sarkar, AR Babu, V Gundecha, A Guillen, S Mousavi, R Luna, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
102023
Robustness with query-efficient adversarial attack using reinforcement learning
S Sarkar, AR Babu, V Gundecha, A Guillen, S Mousavi, R Luna, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
102023
Robustness with Black-Box Adversarial Attack using Reinforcement Learning
S Sarkar, AR Babu, S Mousavi, V Gundecha, S Ghorbanpour, A Shmakov, ...
AAAI 2023: Proceedings of the Workshop on Artificial Intelligence Safety …, 2023
92023
Reinforcement learning based black-box adversarial attack for robustness improvement
S Sarkar, AR Babu, S Mousavi, S Ghorbanpour, V Gundecha, ...
2023 IEEE 19th International Conference on Automation Science and …, 2023
82023
All-in-focus implementation
S Sarkar, GF Burns
US Patent 9,307,166, 2016
82016
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels
A Shmakov, A Naug, V Gundecha, S Ghorbanpour, RL Gutierrez, ...
2023 IEEE 19th International Conference on Automation Science and …, 2023
52023
Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin
S Sarkar, A Naug, A Guillen, RL Gutierrez, S Ghorbanpour, S Mousavi, ...
2023 IEEE 19th International Conference on Automation Science and …, 2023
52023
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness
S Sarkar, AR Babu, S Mousavi, Z Carmichael, V Gundecha, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
42024
Real-time Carbon Footprint Minimization in Sustainable Data Centers with Reinforcement Learning
S Sarkar, A Naug, RL Gutierrez, A Guillen, V Gundecha, AR Babu, C Bash
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
42023
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
S Sarkar, V Gundecha, S Ghorbanpour, A Shmakov, AR Babu, A Naug, ...
Proceedings of the Thirty-Second International Joint Conference on …, 2023
42023
All-in-focus implementation
S Sarkar, GF Burns
US Patent 10,165,196, 2018
42018
A configurable pythonic data center model for sustainable cooling and ml integration
A Naug, A Guillen, RL Gutierrez, V Gundecha, S Ghorbanpour, S Mousavi, ...
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
32023
Natural language processing workflow
S Sarkar, R Rawat, V Gundecha, S Ghorbanpour, A Jindal, P Faraboschi
US Patent App. 17/498,124, 2023
32023
All-in-focus implementation
S Sarkar, GF Burns
US Patent 9,554,039, 2017
32017
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