Antonio Guillen-Perez
Orcid: 0000-0003-3067-6469Affiliations:
- Technical University of Cartagena, Spain
According to our database1,
Antonio Guillen-Perez authored at least 37 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Conditional Flow Matching for Continuous Anomaly Detection in Autonomous Driving on a Manifold-Aware Spectral Space.
CoRR, February, 2026
Semantic-Drive: Trustworthy and Efficient Long-Tail Data Curation via Open-Vocabulary Grounding and Neuro-Symbolic VLM Consensus.
Trans. Mach. Learn. Res., 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Semantic-Drive: Democratizing Long-Tail Data Curation via Open-Vocabulary Grounding and Neuro-Symbolic VLM Consensus.
CoRR, December, 2025
DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads.
CoRR, November, 2025
Efficient Virtuoso: A Latent Diffusion Transformer Model for Goal-Conditioned Trajectory Planning.
CoRR, September, 2025
Mining the Long Tail: A Comparative Study of Data-Centric Criticality Metrics for Robust Offline Reinforcement Learning in Autonomous Motion Planning.
CoRR, August, 2025
From Imitation to Optimization: A Comparative Study of Offline Learning for Autonomous Driving.
CoRR, August, 2025
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters.
CoRR, January, 2025
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
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.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration.
CoRR, 2024
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
A Conceptual Framework for the Development of Autonomous Driving in 6G: the Role of AI and Edge Computing.
Proceedings of the 8th International Conference on Control, Robotics and Cybernetics, 2023
RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels.
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.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
Reinforcement Learning Based Black-Box Adversarial Attack for Robustness Improvement.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
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
2022
Multi-Agent Deep Reinforcement Learning to Manage Connected Autonomous Vehicles at Tomorrow's Intersections.
IEEE Trans. Veh. Technol., 2022
AIM5LA: A Latency-Aware Deep Reinforcement Learning-Based Autonomous Intersection Management System for 5G Communication Networks.
Sensors, 2022
Learning From Oracle Demonstrations - A New Approach to Develop Autonomous Intersection Management Control Algorithms Based on Multiagent Deep Reinforcement Learning.
IEEE Access, 2022
2021
Int. J. Sens. Networks, 2021
2018
Proceedings of the 14th International Conference on Wireless and Mobile Computing, 2018
2016
Proceedings of the 2016 ITU Kaleidoscope: ICTs for a Sustainable World, 2016