Carlos Güemes-Palau

According to our database, Carlos Güemes-Palau authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

RouteNet-Gauss: Hardware-Enhanced Network Modeling With Machine Learning.

Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio

IEEE Trans. Netw., 2026

From simulation to deep learning: Survey on network performance modeling approaches.

Carlos Güemes-Palau, Miquel Ferriol Galmés, Jordi Paillissé Vilanova, Pere Barlet-Ros, Albert Cabellos-Aparicio

Comput. Networks, 2026

2025

Bridging the Gap Between Simulated and Real Network Data Using Transfer Learning.

Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio

CoRR, October, 2025

Ordered Topological Deep Learning: a Network Modeling Case Study.

Guillermo Bernárdez, Miquel Ferriol-Galmés, Carlos Güemes-Palau, Mathilde Papillon, Pere Barlet-Ros, Albert Cabellos-Aparicio, Nina Miolane

CoRR, March, 2025

2024

Wavelet-Enhanced Graph Neural Networks: Towards Non-Parametric Network Traffic Modeling.

Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio

Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop, 2024

2023

Building a Graph-based Deep Learning network model from captured traffic traces.

Carlos Güemes-Palau, Miquel Ferriol-Galmés, Albert Cabellos-Aparicio, Pere Barlet-Ros

CoRR, 2023

2022

Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies.

Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio

Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022