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ORCIDRicardo Luna 0001
Person information
- affiliation: Hewlett Packard Enterprise, Hewlett Packard Labs, TX, USA
- affiliation: University of Leeds, School of Computing, UK
Other persons with the same name
- Ricardo Luna — disambiguation page
- Ricardo Luna 0002
![[0000-0001-7687-9590]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7687-9590")
— Viña Concha y Toro, Center for Research & Innovation, CRI, Pencahue, Chile (and 1 more)
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2020 – today
- 2025
[c16]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Ricardo Luna Gutiérrez, Antonio Guillen, Desik Rengarajan:
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. AAAI 2025: 27628-27635- [c15]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutiérrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash:
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. AAAI 2025: 29694-29696 - [i13]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Avisek Naug, Ricardo Luna Gutierrez, Antonio Guillen:
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters. CoRR abs/2501.14122 (2025) - [i12]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Vineet Gundecha, Ricardo Luna Gutierrez, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Desik Rengarajan, Cullen E. Bash:
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters. CoRR abs/2502.08337 (2025) - 2024
- [c14]Soumyendu Sarkar, Avisek Naug, Ricardo Luna, 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: 22322-22330 - [c13]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi:
Sustainability of Data Center Digital Twins with Reinforcement Learning. AAAI 2024: 23832-23834 - [c12]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:
SustainDC: Benchmarking for Sustainable Data Center Control. NeurIPS 2024 - [c11]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: 4406-4415 - [i11]Soumyendu Sarkar, Avisek Naug, Ricardo Luna, Antonio Guillen, Vineet Gundecha, Sahand Ghorbanpour, Sajad Mousavi, Dejan Markovikj, Ashwin Ramesh Babu:
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time. CoRR abs/2403.14092 (2024) - [i10]Soumyendu Sarkar, Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Ashwin Ramesh Babu, Sajad Mousavi:
Sustainability of Data Center Digital Twins with Reinforcement Learning. CoRR abs/2404.10786 (2024) - [i9]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 abs/2404.12498 (2024) - [i8]Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Desik Rengarajan, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Soumyendu Sarkar:
SustainDC - Benchmarking for Sustainable Data Center Control. CoRR abs/2408.07841 (2024) - 2023
- [c10]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 - [c9]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: 1-8 - [c8]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: 1-8 - [c7]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: 1-8 - [c6]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna, Avisek Naug:
Robustness with Query-efficient Adversarial Attack using Reinforcement Learning. CVPR Workshops 2023: 2330-2337 - [c5]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Sahand Ghorbanpour, Vineet Gundecha, Antonio Guillen, Ricardo Luna, Avisek Naug:
RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning. CVPR Workshops 2023: 3861-3869 - [c4]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:
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. BuildSys 2023: 232-235 - [i7]Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez, Vineet Gundecha, Dejan Markovikj, Lekhapriya Dheeraj Kashyap, Lorenz Krause, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Soumyendu Sarkar:
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability. CoRR abs/2310.03906 (2023) - [i6]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 abs/2310.03912 (2023) - [i5]Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Zachariah Carmichael, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna, Antonio Guillen, Avisek Naug:
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness. CoRR abs/2310.18626 (2023) - [i4]Sajad Mousavi, Ricardo Luna Gutiérrez, Desik Rengarajan, Vineet Gundecha, Ashwin Ramesh Babu, Avisek Naug, Antonio Guillen, Soumyendu Sarkar:
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics. CoRR abs/2310.18679 (2023) - 2021
- [c3]Ricardo Luna Gutierrez, Matteo Leonetti:
Meta Reinforcement Learning for Heuristic Planing. ICAPS 2021: 551-559 - [i3]Ricardo Luna Gutierrez, Matteo Leonetti:
Meta-Reinforcement Learning for Heuristic Planning. CoRR abs/2107.02603 (2021) - 2020
- [c2]Ricardo Luna Gutierrez, Matteo Leonetti:
Information-theoretic Task Selection for Meta-Reinforcement Learning. NeurIPS 2020 - [i2]Ricardo Luna Gutierrez, Matteo Leonetti:
Information-theoretic Task Selection for Meta-Reinforcement Learning. CoRR abs/2011.01054 (2020)
2010 – 2019
- 2019
- [c1]Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti:
Curriculum Learning for Cumulative Return Maximization. IJCAI 2019: 2308-2314 - [i1]Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti:
Curriculum Learning for Cumulative Return Maximization. CoRR abs/1906.06178 (2019)
Coauthor Index
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