Julien Forgeat

According to our database1, Julien Forgeat authored at least 14 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks.
CoRR, March, 2026

2025
Through the telecom lens: Are all training samples important?
CoRR, November, 2025

Secondary Carrier Prediction Under the Lens of Multi-Task Learning Paradigm.
Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025

Optimizing Training of Policies on Hierarchical Multi-fidelity Environments.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
Multi-Task Learning as Enabler for General-Purpose AI-Native RAN.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023
Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework.
CoRR, 2023

Toward Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework.
IEEE Commun. Surv. Tutorials, 2023

Time-Series Prediction using Nature-Inspired Small Models and Curriculum Learning.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

2022
Edge-distributed Coordinated Hyper-Parameter Search for Energy Saving SON Use-Case.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021
Coordinated Reinforcement Learning for Optimizing Mobile Networks.
CoRR, 2021

Coordinated Hyper-Parameter Search for Edge Machine Learning in Beyond-5G Networks.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

2018
"I don't need to see that": Seeking, Avoiding, and Attempting to Control Video Content.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2016
Incremental learning for matrix factorization in recommender systems.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
A Constrained Genetic Algorithm for Rebalancing of Services in Cloud Data Centers.
Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015


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