Gundecha, Vineet

23 publications

CVPRW 2025 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

NeurIPS 2025 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

AAAI 2025 Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutiérrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash

NeurIPS 2025 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

AAAI 2025 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 Gutiérrez, Antonio Guillen, Desik Rengarajan

CVPRW 2025 Robustness Evaluation for Video Models with Reinforcement Learning Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna, Soumyendu Sarkar

WACV 2024 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

AAAI 2024 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

NeurIPSW 2024 Coordinated Robustness Evaluation Framework for Vision Language Models Ashwin Ramesh Babu, Sajad Mousavi, Desik Rengarajan, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Soumyendu Sarkar

NeurIPSW 2024 Imitation Guided Automated Red Teaming Sajad Mousavi, Desik Rengarajan, Ashwin Ramesh Babu, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug, Sahand Ghorbanpour, Soumyendu Sarkar

NeurIPSW 2024 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

NeurIPSW 2024 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

AAAI 2024 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

NeurIPS 2024 SustainDC: Benchmarking for Sustainable Data Center Control Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Cullen Bash, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya D Kashyap, Desik Rengarajan, Soumyendu Sarkar

AAAI 2024 Sustainability of Data Center Digital Twins with Reinforcement Learning Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi

NeurIPSW 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

NeurIPSW 2023 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

IJCAI 2023 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

NeurIPSW 2023 N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics Sajad Mousavi, Ricardo Luna Gutierrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar

CVPRW 2023 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

CVPRW 2023 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

NeurIPSW 2022 Measuring Robustness with Black-Box Adversarial Attack Using Reinforcement Learning Soumyendu Sarkar, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha, Sahand Ghorbanpour, Alexander K Shmakov

AAAI 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