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ORCIDCarlos Güemes-Palau
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2020 – today
- 2025
[i5]Carlos Güemes-Palau, Miquel Ferriol Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco
, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet-Gauss: Hardware-Enhanced Network Modeling with Machine Learning. CoRR abs/2501.08848 (2025)- [i4]Guillermo Bernárdez, Miquel Ferriol Galmés, Carlos Güemes-Palau, Mathilde Papillon, Pere Barlet-Ros, Albert Cabellos-Aparicio, Nina Miolane:
Ordered Topological Deep Learning: a Network Modeling Case Study. CoRR abs/2503.16746 (2025) - [i3]Carlos Güemes-Palau, Miquel Ferriol Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Bridging the Gap Between Simulated and Real Network Data Using Transfer Learning. CoRR abs/2510.00956 (2025) - 2024
- [c2]Carlos Güemes-Palau, Miquel Ferriol Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Wavelet-Enhanced Graph Neural Networks: Towards Non-Parametric Network Traffic Modeling. GNNet@CoNEXT 2024: 14-19 - 2023
- [i2]Carlos Güemes-Palau, Miquel Ferriol Galmés, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Building a Graph-based Deep Learning network model from captured traffic traces. CoRR abs/2310.11889 (2023) - 2022
- [c1]Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. NOMS 2022: 1-5 - [i1]Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. CoRR abs/2202.00360 (2022)
Coauthor Index
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