Mapping the allocation of resources for 5G slices to the k-MUTEX with n instances of m resources problem. - Guillaume Fraysse; Jonathan Lejeune; Julien Sopena; Pierre Sens 001 (CNSM, 2018)

Towards multi-SDN services: Dangers of concurrent resource allocation from multiple providers. - Guillaume Fraysse; Imen Grida Ben Yahia; Jonathan Lejeune; Pierre Sens 001; Julien Sopena (ICIN, 2018)

A Resource Usage Efficient Distributed Allocation Algorithm for 5G Service Function Chains. - Guillaume Fraysse; Jonathan Lejeune; Julien Sopena; Pierre Sens 001 (DAIS, 2020)

Distributed resource allocation for virtual networks. (Allocation distribuée de ressources pour les réseaux virtuels). - Guillaume Fraysse (2020)

Integrating state prediction into the Deep Reinforcement Learning for the Autoscaling of Core Network Functions. - Yoichi Matsuo; Jatinder Singh; Shantanu Verma; Guillaume Fraysse (NOMS, 2023)

Autoscaling Packet Core Network Functions with Deep Reinforcement Learning. - Jatinder Singh; Shantanu Verma; Yoichi Matsuo; Francesca Fossati; Guillaume Fraysse (NOMS, 2023)

Safe RL for Core Network autoscaling. - Xinqi Long; Guillaume Fraysse (CNSM, 2024)

Functional Linear Regression for the prediction of streaming video QoE. - Jean Steve Tamo Tchomgui; Vincent Barriac; Guillaume Fraysse; Julien Jacques; Stéphane Chrétien (CNSM, 2024)

Generating Commit Messages for Configuration Files in 5G Network Deployment Using LLMs. - Beining Yang; Alassane Samba; Guillaume Fraysse; Sihem Cherrared (CNSM, 2024)

Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning. - Aristide Tanyi-Jong Akem; Guillaume Fraysse; Marco Fiore 001 (NOMS, 2024)

A mixture of experts regression model for functional response with functional covariates. - Jean Steve Tamo Tchomgui; Julien Jacques; Guillaume Fraysse; Vincent Barriac; Stéphane Chrétien (Stat. Comput., 2024)