Soumyendu Sarkar

Orcid: 0000-0003-0115-4944

According to our database1, Soumyendu Sarkar authored at least 26 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric Review.
CoRR, June, 2025

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters.
CoRR, January, 2025

Robustness Evaluation for Video Models with Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Coordinated Robustness Evaluation Framework for Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Digital Twins for Data Centers.
Computer, October, 2024

SustainDC - Benchmarking for Sustainable Data Center Control.
CoRR, 2024

A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration.
CoRR, 2024

Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SustainDC: Benchmarking for Sustainable Data Center Control.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Sustainability of Data Center Digital Twins with Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Carbon Footprint Reduction for Sustainable Data Centers in Real-Time.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics.
CoRR, 2023

PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robustness with Query-efficient Adversarial Attack using Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Robustness with Black-Box Adversarial Attack using Reinforcement Learning.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture.
CoRR, 2021


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