Michele Scarpiniti — accepted AI-conference papers

2020

Differentiable Branching In Deep Networks for Fast Inference

Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Enzo Baccarelli, Aurelio Uncini

ICASSP 2020accepted

In this paper, we consider the design of deep neural networks augmented with multiple auxiliary classifiers departing from the main (backbone) network. These classifiers can be used to perform early-exit from the network at various layers, making them convenient for energy-constrained applications s…

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2019

Frequency-domain Adaptive Filtering: from Real to Hypercomplex Signal Processing

Danilo Comminiello, Michele Scarpiniti, Raffaele Parisi, Aurelio Uncini

ICASSP 2019accepted

Frequency-domain adaptive filters (FDAFs) have been widely used over the years, but they are still matter of research due to their powerful capabilities that differentiate them from the whole family of time-domain adaptive filters. This paper aims at providing an overview on FDAFs through a unifying…

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