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A Meta-Learning Approach for Training Explainable Graph Neural Networks


Sep 20, 2021
Indro Spinelli, Simone Scardapane, Aurelio Uncini


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Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods


May 06, 2021
Jary Pomponi, Simone Scardapane, Aurelio Uncini

* Preprint submitted to a journal 

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Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning


Apr 29, 2021
Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini

* Submitted to a journal for the peer-review process 

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A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling


Apr 19, 2021
Danilo Comminiello, Alireza Nezamdoust, Simone Scardapane, Michele Scarpiniti, Amir Hussain, Aurelio Uncini

* This work has been submitted to the IEEE Transactions on Systems, Man, and Cybernetics: Systems for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Avalanche: an End-to-End Library for Continual Learning


Apr 01, 2021
Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido van de Ven, Martin Mundt, Qi She, Keiland Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German I. Parisi, Fabio Cuzzolin, Andreas Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni

* Official Website: https://avalanche.continualai.org 

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Distributed Graph Convolutional Networks


Jul 13, 2020
Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo

* Preprint submitted to IEEE TSIPN 

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Pseudo-Rehearsal for Continual Learning with Normalizing Flows


Jul 05, 2020
Jary Pomponi, Simone Scardapane, Aurelio Uncini


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Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation


May 12, 2020
Paolo Di Lorenzo, Simone Scardapane

* Proceedings of 2019 Asilomar Conference on Signals, Systems, and Computers 

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Why should we add early exits to neural networks?


Apr 27, 2020
Simone Scardapane, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini

* Preprint under consideration at Cognitive Computation 

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Bayesian Neural Networks With Maximum Mean Discrepancy Regularization


Mar 02, 2020
Jary Pomponi, Simone Scardapane, Aurelio Uncini


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Deep Randomized Neural Networks


Feb 27, 2020
Claudio Gallicchio, Simone Scardapane


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Adaptive Propagation Graph Convolutional Network


Feb 24, 2020
Indro Spinelli, Simone Scardapane, Aurelio Uncini

* Preprint submitted to IEEE Transaction on Neural Networks and Learning Systems 

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Efficient Continual Learning in Neural Networks with Embedding Regularization


Sep 09, 2019
Jary Pomponi, Simone Scardapane, Vincenzo Lomonaco, Aurelio Uncini


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A Multimodal Deep Network for the Reconstruction of T2W MR Images


Aug 08, 2019
Antonio Falvo, Danilo Comminiello, Simone Scardapane, Giorgio Finesi, Michele Scarpiniti, Aurelio Uncini

* Accepted for publication in the 29th Italian Neural Networks Workshop (WIRN 2019) 

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Compressing deep quaternion neural networks with targeted regularization


Jul 26, 2019
Riccardo Vecchi, Simone Scardapane, Danilo Comminiello, Aurelio Uncini

* Submitted to IEEE Transactions on Circuits and Systems II 

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Efficient data augmentation using graph imputation neural networks


Jun 20, 2019
Indro Spinelli, Simone Scardapane, Michele Scarpiniti, Aurelio Uncini

* Presented at the 2019 Italian Workshop on Neural Networks (WIRN'19) 

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Missing Data Imputation with Adversarially-trained Graph Convolutional Networks


May 06, 2019
Indro Spinelli, Simone Scardapane, Aurelio Uncini

* Submitted to Neural Networks (Elsevier) 

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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

* Submitted as a brief paper to IEEE TNNLS 

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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

* Accepted at ICASSP 2019 

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Multikernel activation functions: formulation and a case study


Jan 29, 2019
Simone Scardapane, Elena Nieddu, Donatella Firmani, Paolo Merialdo

* Accepted for presentation at INNS BDDL 2019 (https://innsbddl2019.org

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Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events


Dec 17, 2018
Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini

* Submitted to ICASSP 2019 

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Reservoir computing approaches for representation and classification of multivariate time series


Nov 06, 2018
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen


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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

* Accepted for presentation at 2018 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 

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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

* Submitted to EUSIPCO 2018 

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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

* Submitted to IEEE Transactions on Emerging Topics in Computational Intelligence 

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Bidirectional deep-readout echo state networks


Feb 13, 2018
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen


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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

* Preprint submitted to Neural Networks (Elsevier) 

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Stochastic Training of Neural Networks via Successive Convex Approximations


Jun 15, 2017
Simone Scardapane, Paolo Di Lorenzo

* Preprint submitted to IEEE Transactions on Neural Networks and Learning Systems 

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Recursive Multikernel Filters Exploiting Nonlinear Temporal Structure


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

* Eusipco 2017 

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