Publications

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Journal Article
Scardapane, S., S. Van Vaerenbergh, S. Totaro, and A. Uncini, "Kafnets: Kernel-based non-parametric activation functions for neural networks", Neural Networks, vol. 110, pp. 19-32, February, 2019.
Scardapane, S., S. Van Vaerenbergh, A. Hussain, and A. Uncini, "Complex-valued Neural Networks with Non-parametric Activation Functions", IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, issue 1, 2018.
Conference Paper
Van Vaerenbergh, S., S. Scardapane, and I. Santamaría, "Recursive multikernel filters exploiting nonlinear temporal structure", 25th European Signal Processing Conference (EUSIPCO 2017), Kos, Greece, August, 2017. PDF icon PDF Version (290.2 KB)
Scardapane, S., S. Van Vaerenbergh, D. Comminiello, S. Totaro, and A. Uncini, "Recurrent Neural Networks With Flexible Gates Using Kernel Activation Functions", IEEE International Workshop on Machine Learning for Signal Processing, Aalborg, Denmark, IEEE, September, 2018.
Scardapane, S., S. Van Vaerenbergh, D. Comminiello, and A. Uncini, "Improving Graph Convolutional Networks with Non-Parametric Activation Functions", 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, EURASIP, September, 2018.

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