Vineet Gundecha

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Monochrome Images

Reinforcement Learning

Top Venues

Publications

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 (2024)
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)
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 (2024)
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)
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 (2024)
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)
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 (2024)
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 (2024)
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)
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 (2023)
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)
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)
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)
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 (2023)
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)
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)
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)
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)
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)
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 (2023)
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 (2023)
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)
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)
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 (2022)
Pei Yang, Srinivas Varadharajan, Lucas A. Wilson, Don D. Smith II, John A. Lockman III, Vineet Gundecha, Quy Ta
Parallelized Training of Restricted Boltzmann Machines Using Markov-Chain Monte Carlo Methods. SN Comput. Sci. 1 (3) (2020)
Pei Yang, Srinivas Varadharajan, Lucas A. Wilson, Don D. Smith II, John A. Lockman III, Vineet Gundecha, Quy Ta
Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods. CoRR (2019)