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ORCIDSoumyendu Sarkar
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2020 – today
- 2024
[j1]Jyotika Athavale
, Cullen E. Bash, Wesley Brewer, Matthias Maiterth, Dejan S. Milojicic, Harry Petty, Soumyendu Sarkar:
Digital Twins for Data Centers. Computer 57(10): 151-158 (2024)- [c14]Soumyendu Sarkar, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu:
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. AAAI 2024: 22322-22330 - [c13]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour:
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. AAAI 2024: 23829-23831 - [c12]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi:
Sustainability of Data Center Digital Twins with Reinforcement Learning. AAAI 2024: 23832-23834 - [c11]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. WACV 2024: 4406-4415 - [i12]Soumyendu Sarkar, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu:
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. CoRR abs/2403.14092 (2024) - [i11]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour:
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. CoRR abs/2403.18985 (2024) - [i10]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi:
Sustainability of Data Center Digital Twins with Reinforcement Learning. CoRR abs/2404.10786 (2024) - [i9]Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho:
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. CoRR abs/2404.10991 (2024) - [i8]Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar:
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration. CoRR abs/2404.12498 (2024) - [i7]Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Desik Rengarajan, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Soumyendu Sarkar:
SustainDC - Benchmarking for Sustainable Data Center Control. CoRR abs/2408.07841 (2024) - 2023
- [c10]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Robustness with Black-Box Adversarial Attack using Reinforcement Learning. SafeAI@AAAI 2023 - [c9]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement. CASE 2023: 1-8 - [c8]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha:
Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin. CASE 2023: 1-8 - [c7]Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar:
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CASE 2023: 1-8 - [c6]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug:
Robustness with Query-efficient Adversarial Attack using Reinforcement Learning. CVPR Workshops 2023: 2330-2337 - [c5]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug:
RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning. CVPR Workshops 2023: 3861-3869 - [c4]Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho:
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. IJCAI 2023: 6201-6209 - [c3]Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez, Vineet Gundecha, Sahand Ghorbanpour, Lekhapriya Dheeraj Kashyap, Dejan Markovikj, Lorenz Krause, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar:
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. BuildSys@SenSys 2023: 232-235 - [i6]Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez, Vineet Gundecha, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Lorenz Krause, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar:
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. CoRR abs/2310.03906 (2023) - [i5]Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar:
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CoRR abs/2310.03912 (2023) - [i4]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug:
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. CoRR abs/2310.18626 (2023) - [i3]Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar:
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics. CoRR abs/2310.18679 (2023) - 2022
- [c2]Soumyendu Sarkar, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu, Paolo Faraboschi, Mathieu Cocho, Alexandre Pichard, Jonathan Fievez:
Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter. AAAI 2022: 12135-12144 - [c1]Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho:
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters. CASE 2022: 212-219 - [i2]Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho:
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters. CoRR abs/2209.05656 (2022) - 2021
- [i1]Soumyendu Sarkar:
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture. CoRR abs/2109.00074 (2021)
Coauthor Index
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