Rengarajan, Desik

15 publications

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

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

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

NeurIPS 2024 Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai

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

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

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

ICMLW 2023 Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai

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

NeurIPS 2022 Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai

ICLR 2022 Reinforcement Learning with Sparse Rewards Using Guidance from Offline Demonstration Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh, Dileep Kalathil, Srinivas Shakkottai

AISTATS 2021 Reinforcement Learning for Mean Field Games with Strategic Complementarities Kiyeob Lee, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai