PPaperPicks

Ricardo Luna Gutiérrez

10 papers at tracked venues · 10 at CORE A* · active 2024–2026

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Venues

AAAI ×5NeurIPS ×3CVPR ×2

Frequent coauthors

Soumyendu Sarkar
×10
Antonio Guillen
×10
Avisek Naug
×10
Vineet Gundecha
×10
Ashwin Ramesh Babu
×10
Sahand Ghorbanpour
×9
Sajad Mousavi
×7
Desik Rengarajan
×3
Cullen E. Bash
×2
Dejan Markovikj
×2
Zachariah Carmichael
×1
Refik Mert Cam
×1

Papers

  1. Fast 3D Surrogate Modeling for Data Center Thermal Management
    AAAI 2026 ·
    Soumyendu Sarkar
    ,
    Antonio Guillen-Perez
    ,
    Zachariah Carmichael
    ,
    Avisek Naug
    ,
    Refik Mert Cam
    ,
    Vineet Gundecha
    ,
    Ashwin Ramesh Babu
    ,
    Sahand Ghorbanpour
    , Ricardo Luna Gutiérrez
  2. Coordinated Robustness Evaluation Framework for Vision-Language Models
    CVPR 2025 ·
    Ashwin Ramesh Babu
    ,
    Sajad Mousavi
    ,
    Vineet Gundecha
    ,
    Sahand Ghorbanpour
    ,
    Avisek Naug
    ,
    Antonio Guillen
    , Ricardo Luna,
    Soumyendu Sarkar
  3. DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
    NeurIPS 2025 ·
    Antonio Guillen-Perez
    ,
    Avisek Naug
    ,
    Vineet Gundecha
    ,
    Sahand Ghorbanpour
    , Ricardo Luna Gutiérrez,
    Ashwin Ramesh Babu
    ,
    Munther Salim
    ,
    Shubhanker Banerjee
    ,
    Eoin H. Oude Essink
    ,
    Damien Fay
    ,
    Soumyendu Sarkar
  4. Hierarchical Multi-Agent Framework for Carbon-Efficient Liquid-Cooled Data Center Clusters
    AAAI 2025 ·
    Soumyendu Sarkar
    ,
    Avisek Naug
    ,
    Antonio Guillen
    ,
    Vineet Gundecha
    , Ricardo Luna Gutiérrez,
    Sahand Ghorbanpour
    ,
    Sajad Mousavi
    ,
    Ashwin Ramesh Babu
    ,
    Desik Rengarajan
    ,
    Cullen E. Bash
  5. LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
    NeurIPS 2025 ·
    Avisek Naug
    ,
    Antonio Guillen-Perez
    ,
    Vineet Kumar
    ,
    Scott Greenwood
    ,
    Wesley Brewer
    ,
    Sahand Ghorbanpour
    ,
    Ashwin Ramesh Babu
    ,
    Vineet Gundecha
    , Ricardo Luna Gutiérrez,
    Soumyendu Sarkar
  6. Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
    AAAI 2025 ·
    Soumyendu Sarkar
    ,
    Ashwin Ramesh Babu
    ,
    Sajad Mousavi
    ,
    Vineet Gundecha
    ,
    Sahand Ghorbanpour
    ,
    Avisek Naug
    , Ricardo Luna Gutiérrez,
    Antonio Guillen
    ,
    Desik Rengarajan
  7. Robustness Evaluation for Video Models with Reinforcement Learning
    CVPR 2025 ·
    Ashwin Ramesh Babu
    ,
    Sajad Mousavi
    ,
    Vineet Gundecha
    ,
    Sahand Ghorbanpour
    ,
    Avisek Naug
    ,
    Antonio Guillen
    , Ricardo Luna,
    Soumyendu Sarkar
  8. Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
    AAAI 2024 ·
    Soumyendu Sarkar
    ,
    Avisek Naug
    , Ricardo Luna,
    Antonio Guillen
    ,
    Vineet Gundecha
    ,
    Sahand Ghorbanpour
    ,
    Sajad Mousavi
    ,
    Dejan Markovikj
    ,
    Ashwin Ramesh Babu
  9. SustainDC: Benchmarking for Sustainable Data Center Control
    NeurIPS 2024 ·
    Avisek Naug
    ,
    Antonio Guillen
    , Ricardo Luna Gutiérrez,
    Vineet Gundecha
    ,
    Cullen E. Bash
    ,
    Sahand Ghorbanpour
    ,
    Sajad Mousavi
    ,
    Ashwin Ramesh Babu
    ,
    Dejan Markovikj
    ,
    Lekhapriya Dheeraj Kashyap
    ,
    Desik Rengarajan
    ,
    Soumyendu Sarkar
  10. Sustainability of Data Center Digital Twins with Reinforcement Learning
    AAAI 2024 ·
    Soumyendu Sarkar
    ,
    Avisek Naug
    ,
    Antonio Guillen
    , Ricardo Luna,
    Vineet Gundecha
    ,
    Ashwin Ramesh Babu
    ,
    Sajad Mousavi