Search Results for author: Gerardo Rubino

Found 4 papers, 0 papers with code

Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN

no code implementations25 Jul 2024 Soumeya Kaada, Dinh-Hieu Tran, Nguyen Van Huynh, Marie-Line Alberi Morel, Sofiene Jelassi, Gerardo Rubino

Extensive simulations then demonstrate that with our proposed solution, the average service availability in terms of user throughput can be increased by up to 50-60% on average, while reaching a coverage availability of 99% in best cases.

Deep Reinforcement Learning

A Self-Organizing Clustering System for Unsupervised Distribution Shift Detection

no code implementations25 Apr 2024 Sebastián Basterrech, Line Clemmensen, Gerardo Rubino

Modeling non-stationary data is a challenging problem in the field of continual learning, and data distribution shifts may result in negative consequences on the performance of a machine learning model.

Clustering Continual Learning

Evolutionary Echo State Network: evolving reservoirs in the Fourier space

no code implementations10 Jun 2022 Sebastian Basterrech, Gerardo Rubino

Since the reservoir is fixed during the training procedure, we may wonder if the computational power of the recurrent structure is fully harnessed.

Dimensionality Reduction

A Tutorial about Random Neural Networks in Supervised Learning

no code implementations15 Sep 2016 Sebastián Basterrech, Gerardo Rubino

Random Neural Networks (RNNs) are a class of Neural Networks (NNs) that can also be seen as a specific type of queuing network.

Combinatorial Optimization

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