Ricardo Luna Gutierrez

20 papers A* 5A 1Journal 10Unranked 4

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	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`	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	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	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`	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
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	—	`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
2021	A*	`conf`	Meta Reinforcement Learning for Heuristic Planing. ICAPS Ricardo Luna Gutierrez, Matteo Leonetti
2021	J	`jnl`	Meta-Reinforcement Learning for Heuristic Planning. CoRR Ricardo Luna Gutierrez, Matteo Leonetti
2020	A*	`conf`	Information-theoretic Task Selection for Meta-Reinforcement Learning. NeurIPS Ricardo Luna Gutierrez, Matteo Leonetti
2020	J	`jnl`	Information-theoretic Task Selection for Meta-Reinforcement Learning. CoRR Ricardo Luna Gutierrez, Matteo Leonetti
2019	A*	`conf`	Curriculum Learning for Cumulative Return Maximization. IJCAI Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti
2019	J	`jnl`	Curriculum Learning for Cumulative Return Maximization. CoRR Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti