Design of Virtual Infrastructure Manager with Novel VNF Placement Features for Edge Clouds in 5G. - Ruben Solozabal; Bego Blanco; Jose Oscar Fajardo; Ianire Taboada; Fidel Liberal; Elisa Jimeno; Javier Garcia Lloreda (EANN, 2017)

Providing Mission-Critical Services over 5G Radio Access Network. - Rubén Solozabal; Aitor Sanchoyerto; Miren Cava; Bego Blanco; Hicham Khalife; Mathieu Bouet; Damien Lavaux; Emmanouil Kafetzakis (AIAI, 2018)

Model of a Virtual Firewall Based on Stochastic Petri Nets. - Luis Zabala; Ruben Solozabal; Armando Ferro; Bego Blanco (NCA, 2018)

Performance Analysis of a Network Sensor's Packet Processing System using Generalized Stochastic Petri Nets. - Luis Zabala; Armando Ferro; Ruben Solozabal; Bego Blanco (PE-WASUN, 2018)

Exploitation of Mobile Edge Computing in 5G Distributed Mission-Critical Push-to-Talk Service Deployment. - Ruben Solozabal; Aitor Sanchoyerto; Eneko Atxutegi; Bego Blanco; Jose Oscar Fajardo; Fidel Liberal (IEEE Access, 2018)

Management of Mission Critical Public Safety Applications: the 5G ESSENCE Project. - Maria Rita Spada; Jordi Pérez-Romero; Aitor Sanchoyerto; Ruben Solozabal; Michail-Alexandros Kourtis; Vincenzo Riccobene (EuCNC, 2019)

Supporting Mission Critical Services through Radio Access Network Slicing. - Jordi Pérez-Romero; Irene Vilà; Oriol Sallent; Begoña Blanco; Aitor Sanchoyerto; Ruben Solozabal; Fidel Liberal (ICT-DM, 2019)

Orchestration of Mission-Critical Services over an NFV Architecture. - Aitor Sanchoyerto; Ruben Solozabal; Bego Blanco; Elisa Jimeno; Endika Aldecoa; Estrella Basurto; Fidel Liberal (AIAI (Workshops), 2019)

Analysis of the Impact of the Evolution Toward 5G Architectures on Mission Critical Push-to-Talk Services. - Aitor Sanchoyerto; Ruben Solozabal; Bego Blanco; Fidel Liberal (IEEE Access, 2019)

A Cloud-Enabled Small Cell Architecture in 5G Networks for Broadcast/Multicast Services. - Michail-Alexandros Kourtis; Begoña Blanco; Jordi Pérez-Romero; Dimitris Makris; Michael J. McGrath; George Xilouris; Daniele Munaretto; Ruben Solozabal; Aitor Sanchoyerto; Ioannis Giannoulakis; Emmanouil Kafetzakis; Vincenzo Riccobene; et al. (IEEE Trans. Broadcast., 2019)

Impact of Front-Haul Delays in Non-ideal Cloud Radio Access Networks. - Alberto Carreras Mesa; Isabel M. Delgado-Luque; Francisco Javier Martin-Vega; Mari Carmen Aguayo Torres; Gerardo Gómez; José Tomás Entrambasaguas Muñoz; Eneko Atxutegi; Ruben Solozabal; Bego Blanco; Jose Oscar Fajardo; Fidel Liberal (Wirel. Pers. Commun., 2019)

Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures. - Bego Blanco; Rubén Solozabal; Aitor Sanchoyerto; Javier López-Cuadrado; Elisa Jimeno; Miguel Catalan-Cid (AIAI (Workshops), 2020)

Constrained Combinatorial Optimization with Reinforcement Learning. - Ruben Solozabal; Josu Ceberio; Martin Takác 001 (CoRR, 2020)

Virtual Network Function Placement Optimization With Deep Reinforcement Learning. - Ruben Solozabal; Josu Ceberio; Aitor Sanchoyerto; Luis Zabala; Bego Blanco; Fidel Liberal (IEEE J. Sel. Areas Commun., 2020)

Learning to Control under Time-Varying Environment. - Yuzhen Han; Ruben Solozabal; Jing Dong; Xingyu Zhou; Martin Takác 001; Bin Gu 001 (CoRR, 2022)

Learning to generalize Dispatching rules on the Job Shop Scheduling. - Zangir Iklassov; Dmitrii Medvedev; Ruben Solozabal; Martin Takác 001 (CoRR, 2022)

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. - Zangir Iklassov; Ikboljon Sobirov; Ruben Solozabal; Martin Takác 001 (ACML, 2023)

On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling. - Zangir Iklassov; Dmitrii Medvedev; Ruben Solozabal Ochoa de Retana; Martin Takác 001 (IJCAI, 2023)

Regularization of the Policy Updates for Stabilizing Mean Field Games. - Talal Algumaei; Ruben Solozabal; Réda Alami; Hakim Hacid; Mérouane Debbah; Martin Takác 001 (PAKDD (2), 2023)

Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands. - Zangir Iklassov; Ikboljon Sobirov; Ruben Solozabal; Martin Takác 001 (IEEE Access, 2023)

Robustly Train Normalizing Flows via KL Divergence Regularization. - Kun Song; Ruben Solozabal; Hao Li; Martin Takác 001; Lu Ren; Fakhri Karray (AAAI, 2024)

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows. - Zangir Iklassov; Ikboljon Sobirov; Ruben Solozabal; Martin Takác 001 (CoRR, 2024)

Enhance Hyperbolic Representation Learning via Second-order Pooling. - Kun Song; Ruben Solozabal; Li hao; Lu Ren; Moloud Abdar; Qing Li 038; Fakhri Karray; Martin Takác 001 (CoRR, 2024)