29 citations · 40 across the 7 of their papers we have counts for
7 papers
Evolutionary Echo State Network: evolving reservoirs in the Fourier space
Sebastian Basterrech, Gerardo Rubino
The Echo State Network (ESN) is a class of Recurrent Neural Network with a large number of hidden-hidden weights (in the so-called reservoir). Canonical ESN and its variations have…
Efficient Importance Sampling for Large Sums of Independent and Identically Distributed Random Variables
Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Gerardo Rubino +1
We discuss estimating the probability that the sum of nonnegative independent and identically distributed random variables falls below a given threshold, i.e., $\mathbb{P}(\sum_{i=…
A Tutorial about Random Neural Networks in Supervised Learning
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. They have been successfully used in several domains…
A Full Characterization of Irrelevant Components in Diameter Constrained Reliability
Eduardo Canale, Pablo Romero, Gerardo Rubino
In classical network reliability analysis, the system under study is a network with perfect nodes but imperfect link, that fail stochastically and independently. There, the goal is…
Irrelevant Components and Exact Computation of the Diameter Constrained Reliability
Eduardo Canale, Pablo Romero, Gerardo Rubino
Let be a simple graph with nodes and links, a subset of \emph{terminals}, a vector and a positive integer $d…
Single-sided Real-time PESQ Score Estimation
Sebastián Basterrech, Gerardo Rubino, Martín Varela
For several years now, the ITU-T's Perceptual Evaluation of Speech Quality (PESQ) has been the reference for objective speech quality assessment. It is widely deployed in commercia…
Echo State Queueing Network: a new reservoir computing learning tool
Sebastián Basterrech, Gerardo Rubino
In the last decade, a new computational paradigm was introduced in the field of Machine Learning, under the name of Reservoir Computing (RC). RC models are neural networks which a…