Miquel Ferriol-Galmés

27 papers A* 1B 2Misc 1Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
RouteNet-Gauss: Hardware-Enhanced Network Modeling With Machine Learning.
IEEE Trans. Netw.
Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio
2025 J jnl
Bridging the Gap Between Simulated and Real Network Data Using Transfer Learning.
CoRR
Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio
2025 J jnl
Ordered Topological Deep Learning: a Network Modeling Case Study.
CoRR
Guillermo Bernárdez, Miquel Ferriol-Galmés, Carlos Güemes-Palau, Mathilde Papillon, Pere Barlet-Ros, Albert Cabellos-Aparicio, Nina Miolane
2025 J jnl
RouteNet-Gauss: Hardware-Enhanced Network Modeling with Machine Learning.
CoRR
Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio
2024 — conf
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
GRaM
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
2024 J jnl
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain.
CoRR
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 P. 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
2024 — conf
Wavelet-Enhanced Graph Neural Networks: Towards Non-Parametric Network Traffic Modeling.
GNNet@CoNEXT
Carlos Güemes-Palau, Miquel Ferriol-Galmés, Jordi Paillissé Vilanova, Albert Lopez-Bresco, Pere Barlet-Ros, Albert Cabellos-Aparicio
2023 J jnl
Building a Graph-based Deep Learning network model from captured traffic traces.
CoRR
Carlos Güemes-Palau, Miquel Ferriol-Galmés, Albert Cabellos-Aparicio, Pere Barlet-Ros
2023 J jnl
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
IEEE Netw.
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
2023 J jnl
RouteNet-Fermi: Network Modeling With Graph Neural Networks.
IEEE/ACM Trans. Netw.
Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Building a Digital Twin for network optimization using Graph Neural Networks.
Comput. Networks
Miquel Ferriol-Galmés, José Suárez-Varela, Jordi Paillisse, Xiang Shi, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Digital Twin Network: Opportunities and Challenges.
CoRR
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
2022 Misc conf
FlowDT: A Flow-Aware Digital Twin for Computer Networks.
ICASSP
Miquel Ferriol-Galmés, Xiangle Cheng, Xiang Shi, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
Network Digital Twin: Context, Enabling Technologies and Opportunities.
CoRR
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
2022 J jnl
Network Digital Twin: Context, Enabling Technologies, and Opportunities.
IEEE Commun. Mag.
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
2022 A* conf
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
INFOCOM
Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiang Shi, Xiangle Cheng, Bo Wu, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
RouteNet-Erlang: A Graph Neural Network for Network Performance Evaluation.
CoRR
Miquel Ferriol-Galmés, Krzysztof Rusek, José Suárez-Varela, Shihan Xiao, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2022 J jnl
RouteNet-Fermi: Network Modeling with Graph Neural Networks.
CoRR
Miquel Ferriol-Galmés, Jordi Paillisse, José Suárez-Varela, Krzysztof Rusek, Shihan Xiao, Xiang Shi, Xiangle Cheng, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 — conf
Decentralised Internet Infrastructure: Securing Inter-Domain Routing (DEMO).
INFOCOM Workshops
Miquel Ferriol-Galmés, Albert Cabellos-Aparicio
2021 J jnl
Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities.
CoRR
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
2021 — conf
IGNNITION: fast prototyping of graph neural networks for communication networks.
SIGCOMM Posters and Demos
David Pujol-Perich, José Suárez-Varela, Miquel Ferriol-Galmés, Bo Wu, Shihan Xiao, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
2021 J jnl
Scaling Graph-based Deep Learning models to larger networks.
CoRR
Miquel Ferriol-Galmés, José Suárez-Varela, Krzysztof Rusek, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
The Graph Neural Networking Challenge: A Worldwide Competition for Education in AI/ML for Networks.
CoRR
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, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2021 J jnl
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks.
Comput. Commun. Rev.
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, Peter Dorfinger, Nick Vincent Hainke, Stefan Venz, Johannes Wegener, Henrike Wissing, Bo Wu, Shihan Xiao, Pere Barlet-Ros, Albert Cabellos-Aparicio
2020 J jnl
Applying Graph-based Deep Learning To Realistic Network Scenarios.
CoRR
Miquel Ferriol-Galmés, José Suárez-Varela, Pere Barlet-Ros, Albert Cabellos-Aparicio
2020 B conf
Preventing Route Leaks using a Decentralized Approach.
Networking
Miquel Ferriol-Galmés, Roger Coll Aumatell, Albert Cabellos-Aparicio, Shoushou Ren, Xinpeng Wei, Bingyang Liu
2020 B conf
Preventing Route Leaks using a Decentralized Approach: An Experimental Evaluation.
ICNP
Miquel Ferriol-Galmés, Roger Coll Aumatell, Albert Cabellos-Aparicio, Shoushou Ren, Xinpeng Wei, Bingyang Liu