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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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L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing


Apr 29, 2021
Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili, Christian Marinoni, Edoardo Massaro, Claudia Medaglia, Giuseppe Nachira, Leonardo Nucciarelli, Ludovica Paglialunga, Marco Pennese, Sveva Pepe, Enrico Rocchi, Aurelio Uncini, Danilo Comminiello

* Documentation paper for the L3DAS21 Challenge for IEEE MLSP 2021. Further information on www.l3das.com/mlsp2021 

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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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Quaternion-Valued Variational Autoencoder


Oct 22, 2020
Eleonora Grassucci, Danilo Comminiello, Aurelio Uncini

* Submitted to 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 

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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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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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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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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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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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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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Learning activation functions from data using cubic spline interpolation


May 11, 2017
Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini

* Submitted to the 27th Italian Workshop on Neural Networks (WIRN 2017) 

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Effective Blind Source Separation Based on the Adam Algorithm


Sep 26, 2016
Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini

* Revised version after review process. This paper has been presented at the 26-th Italian Workshop on Neural Networks (WIRN2016) May 18-20, Vietri sul Mare, Salerno, Italy. It will be published soon as a chapter in a book of the the Springer Smart Innovation, Systems and Technologies series 

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Group Sparse Regularization for Deep Neural Networks


Jul 02, 2016
Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini


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