Ricardo Luna Gutierrez

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Monochrome Images

Function Approximation

Reinforcement Learning

Top Venues

Publications

Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi
Sustainability of Data Center Digital Twins with Reinforcement Learning. CoRR (2024)
Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi
Sustainability of Data Center Digital Twins with Reinforcement Learning. AAAI (2024)
Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration. CoRR (2024)
Soumyendu Sarkar, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. AAAI (2024)
Soumyendu Sarkar, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. CoRR (2024)
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. WACV (2024)
Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CoRR (2023)
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
Robustness with Black-Box Adversarial Attack using Reinforcement Learning. SafeAI@AAAI (2023)
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug
RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning. CVPR Workshops (2023)
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement. CASE (2023)
Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Vineet Gundecha
Concurrent Carbon Footprint Reduction (C2FR) Reinforcement Learning Approach for Sustainable Data Center Digital Twin. CASE (2023)
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna Gutierrez, Avisek Naug
Robustness with Query-efficient Adversarial Attack using Reinforcement Learning. CVPR Workshops (2023)
Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CASE (2023)
Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. CoRR (2023)
Ricardo Luna Gutierrez, Matteo Leonetti
Meta Reinforcement Learning for Heuristic Planing. ICAPS (2021)
Ricardo Luna Gutierrez, Matteo Leonetti
Meta-Reinforcement Learning for Heuristic Planning. CoRR (2021)
Ricardo Luna Gutierrez, Matteo Leonetti
Information-theoretic Task Selection for Meta-Reinforcement Learning. NeurIPS (2020)
Ricardo Luna Gutierrez, Matteo Leonetti
Information-theoretic Task Selection for Meta-Reinforcement Learning. CoRR (2020)
Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti
Curriculum Learning for Cumulative Return Maximization. IJCAI (2019)
Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti
Curriculum Learning for Cumulative Return Maximization. CoRR (2019)