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Steven Van Vaerenbergh

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A Classification of Artificial Intelligence Systems for Mathematics Education

Jul 13, 2021
Steven Van Vaerenbergh, Adrián Pérez-Suay

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On the Stability and Generalization of Learning with Kernel Activation Functions

Mar 28, 2019
Michele Cirillo, Simone Scardapane, Steven Van Vaerenbergh, Aurelio Uncini

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Widely Linear Kernels for Complex-Valued Kernel Activation Functions

Feb 06, 2019
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini

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Recurrent Neural Networks with Flexible Gates using Kernel Activation Functions

Jul 11, 2018
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Simone Totaro, Aurelio Uncini

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Improving Graph Convolutional Networks with Non-Parametric Activation Functions

Feb 26, 2018
Simone Scardapane, Steven Van Vaerenbergh, Danilo Comminiello, Aurelio Uncini

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Complex-valued Neural Networks with Non-parametric Activation Functions

Feb 22, 2018
Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini

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Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space

Feb 19, 2018
Steven Van Vaerenbergh, Ignacio Santamaria, Victor Elvira, Matteo Salvatori

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Kafnets: kernel-based non-parametric activation functions for neural networks

Nov 23, 2017
Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini

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Recursive Multikernel Filters Exploiting Nonlinear Temporal Structure

Jun 12, 2017
Steven Van Vaerenbergh, Simone Scardapane, Ignacio Santamaria

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On the Relationship between Online Gaussian Process Regression and Kernel Least Mean Squares Algorithms

Sep 11, 2016
Steven Van Vaerenbergh, Jesus Fernandez-Bes, Víctor Elvira

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