Soumyendu Sarkar*
Senior Director & Senior Distinguished Technologist, Hewlett Packard Enterprise
Leads ML Research @ Hewlett Packard Enterprise Labs
Principal Investigator on US DOE funded AI Research for Fusion Energy
Principal Investigator for HPE at the U.S. AI Safety Institute Consortium (AISIC), NIST
Resaerch Profile and Publications
Color Codes: Reinforcement Learning, LLMs & Generative ML, Computer Vision, Nuclear Fusion
Recent NeurIPS and AAAI Papers:
[1] Fast 3D Surrogate Modeling for Data Center Thermal Management
Soumyendu Sarkar*, Antonio Guillen-Perez*, Zachariah J Carmichael*, Avisek Naug*, Refik Mert Cam*, Vineet Gundecha, Ashwin Ramesh Babu, Sahand Ghorbanpour, Ricardo Luna Gutierrez
AAAI 2026, Accepted Paper
https://arxiv.org/abs/2511.11722
[2] LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
Avisek Naug*, Antonio Guillen-Perez*, Vineet Kumar, Scott Greenwood, Wesley Brewer, Sahand Ghorbanpour, Ashwin Ramesh Babu, Vineet Gundecha, Ricardo Luna Gutierrez, Soumyendu Sarkar*
NeurIPS 2025, Accepted Paper
https://openreview.net/forum?id=XwqawBglmv
[3] DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
Antonio Guillen-Perez*, Avisek Naug*, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Munther Salim, Shubhanker Banerjee, Eoin H. Oude Essink, Damien Fay, Soumyendu Sarkar*
NeurIPS 2025, Accepted Paper
https://openreview.net/forum?id=AgTASkryb6
[4] Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
Soumyendu Sarkar*, Ashwin Ramesh Babu*, Sajad Mousavi*, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen
AAAI 2025, Proceedings of the AAAI Conference on Artificial Intelligence, volume=39, number=26, pages=27628--27635
https://doi.org/10.1609/aaai.v39i26.34976
[5] Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
Soumyendu Sarkar*, Avisek Naug*, Antonio Guillen*, Vineet Gundecha*, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen Bash
AAAI 2025, Proceedings of the AAAI Conference on Artificial Intelligence, volume=39, number=28, pages=29694--29696
https://doi.org/10.1609/aaai.v39i28.35370
[6] SustainDC: Benchmarking for Sustainable Data Center Control
Avisek Naug*, Antonio Guillen*, Ricardo Luna, Vineet Gundecha, Desik Rengarajan, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya D Kashyap, Soumyendu Sarkar*
NeurIPS 2024 Proceedings of the Advances in Neural Information Processing Systems, volume=37, pages=100630--100669
[7] Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
Soumyendu Sarkar*, Avisek Naug*, Ricardo Luna*, Antonio Guillen*, Vineet Gundecha*, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu
AAAI 2024, Proceedings of the AAAI Conference on Artificial Intelligence, volume=38, number=20, pages=22322--22330
[8] Robustness and visual explanation for black box image, video, and ECG signal classification with reinforcement learning
Soumyendu Sarkar*, Ashwin Ramesh Babu*, Sajad Mousavi*, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour
AAAI 2024, Proceedings of the AAAI Conference on Artificial Intelligence, volume=38, number=21, pages=23829--23831
[9] Sustainability of data center digital twins with reinforcement learning
Soumyendu Sarkar*, Avisek Naug*, Antonio Guillen*, Ricardo Luna*, Vineet Gundecha*, Ashwin Ramesh Babu, Sajad Mousavi
AAAI 2024, Proceedings of the AAAI Conference on Artificial Intelligence, volume=38, number=21, pages=23832--23834
[10] Benchmark generation framework with customizable distortions for image classifier robustness
Soumyendu Sarkar*, Ashwin Ramesh Babu*, Sajad Mousavi*, Zachariah Carmichael*, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
WACV 2024, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024, pages=4418--4427
[11] Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
Soumyendu Sarkar*, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho
IJCAI 2023, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
pages=6201--6209,
International Joint Conferences on Artificial Intelligence Organization}
[12] Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter
Soumyendu Sarkar*, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu, Paolo Faraboschi, Mathieu Cocho, Alexandre Pichard, Jonathan Fievez,
AAAI '22, Proceedings of the AAAI Conference on Artificial Intelligence, volume=36, number=21, pages=23832--23834
Best Paper Awards
[1] NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning,
Best Paper Award for ML Innovation,
Real-time Carbon Footprint Minimization in Sustainable Data Centers with Reinforcement Learning
Soumyendu Sarkar*, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen, Vineet Gundecha, Ashwin Ramesh Babu, Cullen Bash
https://s3.us-east-1.amazonaws.com/climate-change-ai/papers/neurips2023/28
[2] IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022
Best Application Paper Award
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters,
Soumyendu Sarkar*, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho
Proceedings of the IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022
Other Papers
2025
Interpretable LLM Control for Sustainable Liquid Cooling in HPC Data Centers
Sahand Ghorbanpour, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen-Perez, Ricardo Luna Gutierrez, Vineet Gundecha, Soumyendu Sarkar*
ICML 2025 CO-BUILD Workshop on Computational Optimization of Buildings, Oral Presentation - Best Paper
OptICF: Sample-Efficient Optimization of Implosion Outcomes in Inertial Confinement Fusion
Ricardo Luna Gutierrez, Vineet Gundecha1, Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti, Sahand Ghorbanpour, Aarne Lees, Soumyendu Sarkar*
NeurIPS 2025 Workshop on Machine Learning and the Physical Sciences, Accepted Paper, Dec '25
DiffICF: Diffusion-Driven Inverse Modeling for Laser Pulse Design in Inertial Confinement Fusion
Ricardo Luna Gutierrez, Vineet Gundecha1, Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti, Sahand Ghorbanpour, Aarne Lees, Soumyendu Sarkar*
NeurIPS 2025 Workshop on Machine Learning and the Physical Sciences, Accepted Paper, Dec '25
Inverse Modeling of Laser Pulse Shapes in Inertial Confinement Fusion with Auto-Regressive Models
Vineet Gundecha1, Ricardo Luna Gutierrez, Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti, Aarne Lees, Sahand Ghorbanpour, Soumyendu Sarkar*
NeurIPS 2025 Workshop on Tackling Climate Change with Machine Learning, Accepted Paper, Dec '25
IM-LPG: Inverse Modeling Approach to Laser Pulse Shape Generation in Inertial Confinement Fusion
Ricardo Luna Gutierrez, Vineet Gundecha1, Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti, Sahand Ghorbanpour, Aarne Lees, Soumyendu Sarkar*
NeurIPS 2025 Workshop on AI for Science, Accepted Paper, Dec '25
Fewer Shots, Better Implosions: Sample-Efficient Optimization for Inertial Confinement Fusion
Ricardo Luna Gutierrez, Vineet Gundecha1, Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti, Sahand Ghorbanpour, Aarne Lees, Soumyendu Sarkar*
NeurIPS 2025 Workshop on Machine Learning and the Physical Sciences, Accepted Paper, Dec '25
Sustainable Control of Geo-Distributed Datacenters by Distilling Numerical Experts into Adaptive LLM Agents
NeurIPS 2025 Workshop on Machine Learning for Systems, Accepted Paper, Dec '25
ML-Guided Cold Plate Design and Thermal Analysis for Liquid-Cooled HPC Servers
NeurIPS 2025 Workshop on Machine Learning for Systems, Accepted Paper, Dec '25
Carbon-Aware RL-LLM Control for Energy-Efficient Liquid-Cooled HPC Data Centers
NeurIPS 2025 Workshop on Machine Learning for Systems, Accepted Paper, Dec '25
Efficient Reinforcement Learning Implementations for Sustainable Operation of Liquid Cooled HPC Data Centers
NeurIPS 2025 Workshop on Tackling Climate Change with Machine Learning, Accepted Paper, Dec '25
Holistic Sustainability for Geo-Distributed Data Centers using Hierarchical Optimization
NeurIPS 2025 Workshop on Tackling Climate Change with Machine Learning, Accepted Paper, Dec '25
Robustness Evaluation for Video Models with Reinforcement Learning,
Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Soumyendu Sarkar*
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshop, 2025, pages=4362--a4370
Coordinated Robustness Evaluation Framework for Vision-Language Models
Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna, Soumyendu Sarkar*
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshop, 2025, pages={712--720}
2024
iART-Imitation guided Automated Red Teaming,
Sajad Mousavi, Desik Rengarajan, Ashwin Ramesh Babu, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Paolo Faraboschi, Soumyendu Sarkar*
NeurIPS 2024 Red Teaming GenAI Workshop - Oral Presentation
Informed Tree of Thought: Cost-efficient Problem Solving with Large Language Models,
Sajad Mousavi, Desik Rengarajan, Ashwin Ramesh Babu, Sahand Ghorbanpour, Vineet Gundecha, Avisek Naug, Soumyendu Sarkar*
NeurIPS 2024 Workshop on Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning
LLM Enhanced Bayesian Optimization for Scientific Applications like Fusion,
Sahand Ghorbanpour, Ricardo Luna Gutierrez, Vineet Gundecha, Desik Rengarajan, Ashwin Ramesh Babu, Soumyendu Sarkar*
NeurIPS 2024 Workshop on Physical Sciences
Optimizing the Performance of Direct-Drive Implosion Experiments Using Meta-Bayesian Optimization,
Rahman Ejaz, Varchas Gopalaswamy, Ricardo Luna, Vineet Gundecha, Aarne Lees, Riccardo Betti, Sahand Ghorbanpour, Soumyendu Sarkar, Christopher, Kanan
Bulletin of the American Physical Society, 2024, Publisher: American Physical Society
Explainable meta bayesian optimization with human feedback for scientific applications like fusion energy,
Ricardo Luna Gutierrez, Sahand Ghorbanpour, Vineet Gundecha, Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti, Avisek Naug, Desik Rengarajan, Ashwin Ramesh Babu, Paolo Faraboschi, Soumyendu Sarkar*
NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning
Meta-Learned Bayesian Optimization for Energy Yield in Inertial Confinement Fusion,
Vineet Gundecha, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti, Desik Rengarajan, Soumyendu Sarkar*
NeurIPS 2024 Workshop on Physical Sciences
Digital twins for data centers,
Jyotika Athavale, Cullen Bash, Wesley Brewer, Matthias Maiterth, Dejan Milojicic, Harry Petty, Soumyendu Sarkar*
IEEE Computer Magazine, Volume={57}, Issue={10}, pages={151--158}, 2024
Enhancing Reinforcement Learning-Based Control of Wave Energy Converters Using Predictive Wave Modeling,
Vineet Gundecha, Arie Paap, Mathieu Cocho, Sahand Ghorbanpour, Alexandre Pichard, Ashwin Ramesh Babu, Soumyendu Sarkar*
NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning
Carbon-Aware Spatio-Temporal Workload Distribution in Cloud Data Center Clusters Using Reinforcement Learning,
Soumyendu Sarkar*, Antonio Guillen-Perez, Vineet Gundecha, Avisek Naug, Ricardo Luna Gutierrez, Sajad Mousavi, Paolo Faraboschi, Cullen Bash
NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning
Enhancing Sustainability in Liquid-Cooled Data Centers with Reinforcement Learning Control,
Avisek Naug, Antonio Guillen Perez, Vineet Gundecha, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Sajad Mousavi, Paolo Faraboschi, Cullen Bash, Soumyendu Sarkar*
NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning
CFD Surrogates for Data Center Sustainability Using 3D U-Net Convolutional Neural Network,
Soumyendu Sarkar*, Antonio Guillen-Perez, Zachariah Carmichael, Vineet Gundecha, Avisek Naug, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Cullen, Bash
2024 23rd IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm),
Imitation Guided Automated Red Teaming,
Desik Rengarajan, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour, Antonio Guillen, Ricardo Luna Gutierrez, Soumyendu Sarkar*
NeurIPS 2024 Workshop on Safe Generative AI
2023
Direct-Drive Implosion Performance Optimization Using Gaussian Process Modeling and Reinforcement Learning,
Rahman Ejaz, Varchas Gopalaswamy, Aarne Lees, Duc Cao, Soumyendu Sarkar, Christopher, Kanan
APS Division of Plasma Physics Meeting Abstracts, 2023
Pydcm: Custom data center models with reinforcement learning for sustainability,
Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Sahand Ghorbanpour, Lekhapriya Dheeraj Kashyap, Dejan Markovikj, Lorenz Krause, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar*
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2023, pages={232--235},
Robustness with query-efficient adversarial attack using reinforcement learning,
Soumyendu Sarkar*, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna, Avisek, Naug
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2023, pages={2330--2337},
Rl-cam: Visual explanations for convolutional networks using reinforcement learning,
Soumyendu Sarkar*, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna, Avisek, Naug
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2023, pages=3861--3869
Reinforcement learning based black-box adversarial attack for robustness improvement,
Soumyendu Sarkar*, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Ricardo Luna Gutierrez, Antonio Guillen, Avisek, Naug
2023 IEEE CASE, 19th International Conference on Automation Science and Engineering
Concurrent carbon footprint reduction (c2fr) reinforcement learning approach for sustainable data center digital twin,
Soumyendu Sarkar*, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Vineet, Gundecha
2023 IEEE CASE, 19th International Conference on Automation Science and Engineering
Rtdk-bo: High dimensional bayesian optimization with reinforced transformer deep kernels,
Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar*
2023 IEEE CASE, 19th International Conference on Automation Science and Engineering
Natural language processing workflow,
Soumyendu Sarkar*, Rohit Rawat, Vineet Gundecha, Sahand Ghorbanpour, Abhishek Jindal, Paolo, Faraboschi
2023, US Patent App. 17/498,124
Robustness with Black-Box Adversarial Attack using Reinforcement Learning,
Soumyendu Sarkar*, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek, Naug
AAAI 2023: Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023), Oral Presentation, volume={3381}, year={2023},
https://ceur-ws.org/Vol-3381/8.pdf
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics,
Sajad Mousavi, Ricardo Luna Guti{\'e}rrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar*
NeurIPS 2023 Foundation Models for Decision Making Workshop,
https://openreview.net/forum?id=L7vC3OYb2p
Enhancing Large Language Models with Ensemble of Critics for Mitigating Toxicity and Hallucination,
Sajad Mousavi, Ricardo Luna Gutierrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar*
NeurIPS R0-FoMo Workshop: Robustness of Few-shot and Zero-shot Learning in Large Foundation Models
A configurable pythonic data center model for sustainable cooling and ml integration,
Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar*
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning,
https://s3.us-east-1.amazonaws.com/climate-change-ai/papers/neurips2023/15
Sustainable data center modeling: A multi-agent reinforcement learning benchmark,
Soumyendu Sarkar*, Avisek Naug, Antonio Guillen, R Luna Gutierrez, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Ashwin, Ramesh Babu
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning
Enhancing data center sustainability with a 3d cnn-based cfd surrogate model,
Soumyendu Sarkar*, Antonio Guillen, Zachariah Carmichael, Vineet Gundecha, Avisek Naug, A Ramesh Babu, Ricardo, Luna Gutierrez
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning,
2022
Multi-agent reinforcement learning controller to maximize energy efficiency for multi-generator industrial wave energy converter,
Soumyendu Sarkar*, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu, Paolo Faraboschi, Mathieu Cocho, Alexandre Pichard, Jonathan}, Fievez
AAAI, Proceedings of the AAAI Conference on Artificial Intelligence, 2022, volume={36}, number={11}, pages={12135--12144}, year={2022}
Function approximations for reinforcement learning controller for wave energy converters,
Soumyendu Sarkar*, Vineet Gundecha, Sahand Ghorban-pour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho, Hewlett Packard, Enterprise
NeurIPs Tackling Climate Change with Machine Learning Workshop, 2022,
https://s3.us-east-1.amazonaws.com/climate-change-ai/papers/neurips2022/1
Measuring robustness with black-box adversarial attack using reinforcement learning,
Soumyendu Sarkar*, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha, Sahand Ghorbanpour, Alexander K, Shmakov
NeurIPS ML Safety Workshop, 2022
2021 and Earlier
Effectiveness of deep networks in NLP using BiDAF as an example architecture,
Sarkar, Soumyendu @ Stanford, arXiv preprint arXiv:2109.00074, year={2021}
Multi-objective Reinforcement Learning Controller for Multi-Generator Industrial Wave Energy Converter,
Soumyendu Sarkar*, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu, Paolo Faraboschi, Mathieu Cocho, Alexandre Pichard, Jonathan, Fievez
NeurIPs Tackling Climate Change with Machine Learning Workshop, 2021
https://s3.us-east-1.amazonaws.com/climate-change-ai/papers/neurips2021/51
Image tracking objects associated with objects of interest,
Sarkar, Soumyendu, 2021,
US Patent 20,210,289,171
All-in-focus implementation,
Soumyendu Sarkar*, Geoffrey Francis}, 2017 Burns
publisher={Google Patents},
US Patent 9,554,039
REAL-TIME CARBON FOOTPRINT REDUCTION CONTROLLER,
Soumyendu Sarkar*, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen Perez, Sahand}, Ghorbanpour
year={2024},
US Patent App. 18/492,176
HPE�s Natural Language Processing platform for Question and Answer,
Sarkar, Soumyendu,
year={2020}
Survey of LLM Agent Communication with MCP: A Software Design Pattern Centric Review,
Anjana Sarkar, Soumyendu Sarkar*
url={https://www.researchgate.net/publication/392083326\_Survey\_of\_LLM\_Agent\_Communication\_with\_MCP\_A\_Software\_Design\_Pattern\_Centric\_Review}, year={2025}
Review of LLM based Control,
Soumyendu Sarkar, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen-Perez, Vineet Gundecha, Ashwin Ramesh Babu, Avisek}, Naug
url={doi.org/10.13140/RG.2.2.28595.54567}, year={2025}
Reinforcement learning agent to measure robustness of black-box image classification models,
Soumyendu Sarkar*, Ashwin Ramesh Babu, Seyed Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek}, Naug
2024,
US Patent App. 18/486,756
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