no code implementations • 25 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.
no code implementations • 25 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.
no code implementations • 10 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.
no code implementations • 15 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.