Ricardo Luna Gutierrez
6 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Learning Types · Machine Learning
(4)
Core AI
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Core Methods
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
reinforcement learning
(2)
image classification
(2)
adversarial robustness
(1)
few-shot learning
(1)
curriculum learning
(1)
knowledge transfer
(1)
model evaluation
(1)
query efficiency
(1)
perturbation analysis
(1)
adversarial attack
(1)
black-box attack
(1)
meta-reinforcement learning
(1)
adversarial example
(1)
neural operator
(1)
carbon efficiency
(1)
data center
(1)
workload scheduling
(1)
task sequencing
(1)
cumulative return maximization
(1)
metaheuristic algorithm
(1)
Papers
Fast 3D Surrogate Modeling for Data Center Thermal Management
AAAI 2026
Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
AAAI 2025
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
AAAI 2025
Benchmark Generation Framework With Customizable Distortions for Image Classifier Robustness
WACV 2024
Information-theoretic Task Selection for Meta-Reinforcement Learning
NeurIPS 2020
Curriculum Learning for Cumulative Return Maximization
IJCAI 2019