Ricardo Luna

According to our database, Ricardo Luna authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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 Gutierrez, Antonio Guillen

CoRR, January, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

SustainDC - Benchmarking for Sustainable Data Center Control.

Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Desik Rengarajan, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Soumyendu Sarkar

CoRR, 2024

A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration.

Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SustainDC: Benchmarking for Sustainable Data Center Control.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics.

Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar

CoRR, 2023

PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability.

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

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels.

Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin.

Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Robustness with Black-Box Adversarial Attack using Reinforcement Learning.

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2021

Meta-Reinforcement Learning for Heuristic Planning.

Ricardo Luna Gutierrez, Matteo Leonetti

CoRR, 2021

Meta Reinforcement Learning for Heuristic Planing.

Ricardo Luna Gutierrez, Matteo Leonetti

Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020

Information-theoretic Task Selection for Meta-Reinforcement Learning.

Ricardo Luna Gutierrez, Matteo Leonetti

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Curriculum Learning for Cumulative Return Maximization.

Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019