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Miquel Ferriol
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2020 – today
- 2026
- [j7]Carlos Güemes-Palau
, Miquel Ferriol-Galmés
RouteNet-Gauss: Hardware-Enhanced Network Modeling With Machine Learning. IEEE Trans. Netw. 34: 3840-3853 (2026) - 2025
- [i15]Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco
RouteNet-Gauss: Hardware-Enhanced Network Modeling with Machine Learning. CoRR abs/2501.08848 (2025) - [i14]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) - [i13]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
- [c9]Carlos Güemes-Palau
Wavelet-Enhanced Graph Neural Networks: Towards Non-Parametric Network Traffic Modeling. GNNet@CoNEXT 2024: 14-19 - [c8]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol-Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. GRaM 2024: 420-428 - [i12]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol-Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - 2023
- [j6]José Suárez-Varela, Paul Almasan
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. IEEE Netw. 37(3): 146-153 (2023) - [j5]Miquel Ferriol-Galmés
RouteNet-Fermi: Network Modeling With Graph Neural Networks. IEEE/ACM Trans. Netw. 31(6): 3080-3095 (2023) - [i11]Carlos Güemes-Palau, Miquel Ferriol-Galmés
Building a Graph-based Deep Learning network model from captured traffic traces. CoRR abs/2310.11889 (2023) - 2022
- [j4]Paul Almasan
Network Digital Twin: Context, Enabling Technologies, and Opportunities. IEEE Commun. Mag. 60(11): 22-27 (2022) - [j3]Miquel Ferriol-Galmés
Building a Digital Twin for network optimization using Graph Neural Networks. Comput. Networks 217: 109329 (2022) - [c7]Miquel Ferriol-Galmés
FlowDT: A Flow-Aware Digital Twin for Computer Networks. ICASSP 2022: 8907-8911 - [c6]Miquel Ferriol-Galmés
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. INFOCOM 2022: 2018-2027 - [i10]Paul Almasan, Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Diego Perino, Diego R. López, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Digital Twin Network: Opportunities and Challenges. CoRR abs/2201.01144 (2022) - [i9]Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation. CoRR abs/2202.13956 (2022) - [i8]Paul Almasan, Miquel Ferriol-Galmés
Network Digital Twin: Context, Enabling Technologies and Opportunities. CoRR abs/2205.14206 (2022) - [i7]Miquel Ferriol-Galmés
RouteNet-Fermi: Network Modeling with Graph Neural Networks. CoRR abs/2212.12070 (2022) - 2021
- [j2]José Suárez-Varela
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks. Comput. Commun. Rev. 51(3): 9-16 (2021) - [j1]David Pujol-Perich, José Suárez-Varela
IGNNITION: Bridging the Gap between Graph Neural Networks and Networking Systems. IEEE Netw. 35(6): 171-177 (2021) - [c5]Miquel Ferriol-Galmés
Decentralised Internet Infrastructure: Securing Inter-Domain Routing (DEMO). INFOCOM Workshops 2021: 1-2 - [c4]David Pujol-Perich, José Suárez-Varela
IGNNITION: fast prototyping of graph neural networks for communication networks. SIGCOMM Posters and Demos 2021: 71-73 - [i6]José Suárez-Varela, Miquel Ferriol-Galmés, Albert López, Paul Almasan, Guillermo Bernárdez, David Pujol-Perich, Krzysztof Rusek, Loïck Bonniot, Christoph Neumann, François Schnitzler, François Taïani, Martin Happ, Christian Maier, Jia Lei Du, Matthias Herlich
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks. CoRR abs/2107.12433 (2021) - [i5]David Pujol-Perich, José Suárez-Varela, Miquel Ferriol, Shihan Xiao, Bo Wu, Albert Cabellos-Aparicio, Pere Barlet-Ros:
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems. CoRR abs/2109.06715 (2021) - [i4]Miquel Ferriol-Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Scaling Graph-based Deep Learning models to larger networks. CoRR abs/2110.01261 (2021) - [i3]José Suárez-Varela, Paul Almasan, Miquel Ferriol-Galmés, Krzysztof Rusek, Fabien Geyer, Xiangle Cheng, Xiang Shi, Shihan Xiao, Franco Scarselli, Albert Cabellos-Aparicio, Pere Barlet-Ros:
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities. CoRR abs/2112.14792 (2021) - 2020
- [c3]Miquel Ferriol-Galmés
Preventing Route Leaks using a Decentralized Approach: An Experimental Evaluation. ICNP 2020: 1-6 - [c2]Miquel Ferriol-Galmés, Roger Coll Aumatell, Albert Cabellos-Aparicio, Shoushou Ren, Xinpeng Wei, Bingyang Liu:
Preventing Route Leaks using a Decentralized Approach. Networking 2020: 509-513 - [i2]Miquel Ferriol-Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Applying Graph-based Deep Learning To Realistic Network Scenarios. CoRR abs/2010.06686 (2020)
2010 – 2019
- 2018
- [c1]Jordi Paillisse
IPchain: Securing IP Prefix Allocation and Delegation with Blockchain. iThings/GreenCom/CPSCom/SmartData 2018: 1236-1243 - [i1]Jordi Paillisse, Miquel Ferriol, Eric Garcia, Hamid Latif, Carlos Piris, Albert Lopez-Bresco, Brenden Kuerbis, Alberto Rodríguez-Natal, Vina Ermagan, Fabio Maino, Albert Cabellos:
IPchain: Securing IP Prefix Allocation and Delegation with Blockchain. CoRR abs/1805.04439 (2018)
Coauthor Index
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