Vineet Gundecha

40 papers A* 9A 1Journal 20Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Fast 3D Surrogate Modeling for Data Center Thermal Management. AAAI Soumyendu Sarkar, Antonio Guillen-Perez, Zachariah Carmichael, Avisek Naug, Refik Mert Cam, Vineet Gundecha, Ashwin Ramesh Babu, Sahand Ghorbanpour, Ricardo Luna Gutierrez
2025	—	`conf`	Coordinated Robustness Evaluation Framework for Vision-Language Models. CVPR Workshops Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna, Soumyendu Sarkar
2025	J	`jnl`	Coordinated Robustness Evaluation Framework for Vision-Language Models. CoRR Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna, Soumyendu Sarkar
2025	J	`jnl`	DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads. CoRR 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
2025	J	`jnl`	Fast 3D Surrogate Modeling for Data Center Thermal Management. CoRR Soumyendu Sarkar, Antonio Guillen-Perez, Zachariah Carmichael, Avisek Naug, Refik Mert Cam, Vineet Gundecha, Ashwin Ramesh Babu, Sahand Ghorbanpour, Ricardo Luna Gutiérrez
2025	A*	`conf`	Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. AAAI Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutiérrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash
2025	J	`jnl`	Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. CoRR Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash
2025	J	`jnl`	LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers. CoRR Avisek Naug, Antonio Guillen, Vineet Kumar, Scott Greenwood, Wesley Brewer, Sahand Ghorbanpour, Ashwin Ramesh Babu, Vineet Gundecha, Ricardo Luna Gutierrez, Soumyendu Sarkar
2025	A*	`conf`	Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. AAAI Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Ricardo Luna Gutiérrez, Antonio Guillen, Desik Rengarajan
2025	J	`jnl`	Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. CoRR Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen
2025	—	`conf`	Robustness Evaluation for Video Models with Reinforcement Learning. CVPR Workshops Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna, Soumyendu Sarkar
2025	J	`jnl`	Robustness Evaluation for Video Models with Reinforcement Learning. CoRR Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Soumyendu Sarkar
2024	J	`jnl`	A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration. CoRR Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar
2024	A	`conf`	Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. WACV Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
2024	A*	`conf`	Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. AAAI Soumyendu Sarkar, Avisek Naug, Ricardo Luna, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu
2024	J	`jnl`	Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. CoRR Soumyendu Sarkar, Avisek Naug, Ricardo Luna, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu
2024	J	`jnl`	Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. CoRR Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho
2024	A*	`conf`	Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. AAAI Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour
2024	J	`jnl`	Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning. CoRR Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Avisek Naug, Sahand Ghorbanpour
2024	J	`jnl`	SustainDC - Benchmarking for Sustainable Data Center Control. CoRR Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Desik Rengarajan, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Soumyendu Sarkar
2024	A*	`conf`	SustainDC: Benchmarking for Sustainable Data Center Control. NeurIPS Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Cullen E. Bash, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Desik Rengarajan, Soumyendu Sarkar
2024	A*	`conf`	Sustainability of Data Center Digital Twins with Reinforcement Learning. AAAI Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi
2024	J	`jnl`	Sustainability of Data Center Digital Twins with Reinforcement Learning. CoRR Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi
2023	J	`jnl`	Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. CoRR Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna, Antonio Guillen, Avisek Naug
2023	—	`conf`	Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin. CASE Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha
2023	A*	`conf`	Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. IJCAI Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho
2023	J	`jnl`	N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics. CoRR Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar
2023	—	`conf`	PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. BuildSys 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
2023	J	`jnl`	PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. CoRR 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
2023	—	`conf`	RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning. CVPR Workshops Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna, Avisek Naug
2023	—	`conf`	RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CASE Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar
2023	J	`jnl`	RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CoRR Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar
2023	—	`conf`	Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement. CASE Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
2023	—	`conf`	Robustness with Black-Box Adversarial Attack using Reinforcement Learning. SafeAI@AAAI Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
2023	—	`conf`	Robustness with Query-efficient Adversarial Attack using Reinforcement Learning. CVPR Workshops Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna, Avisek Naug
2022	A*	`conf`	Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter. AAAI Soumyendu Sarkar, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu, Paolo Faraboschi, Mathieu Cocho, Alexandre Pichard, Jonathan Fievez
2022	—	`conf`	Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters. CASE Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho
2022	J	`jnl`	Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters. CoRR Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho
2020	J	`jnl`	Parallelized Training of Restricted Boltzmann Machines Using Markov-Chain Monte Carlo Methods. SN Comput. Sci. Pei Yang, Srinivas Varadharajan, Lucas A. Wilson, Don D. Smith II, John A. Lockman III, Vineet Gundecha, Quy Ta
2019	J	`jnl`	Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods. CoRR Pei Yang, Srinivas Varadharajan, Lucas A. Wilson, Don D. Smith II, John A. Lockman III, Vineet Gundecha, Quy Ta