most citedA Dimensionality Reduction Approach for Convolutional Neural Networks

19 citations · 31 across the 3 of their papers we have counts for

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cs.LG2022★ 9 cited

A Continuous Convolutional Trainable Filter for Modelling Unstructured Data

Dario Coscia, Laura Meneghetti, Nicola Demo +2

Convolutional Neural Network (CNN) is one of the most important architectures in deep learning. The fundamental building block of a CNN is a trainable filter, represented as a disc…

cs.LG2021★ 19 cited

A Dimensionality Reduction Approach for Convolutional Neural Networks

Laura Meneghetti, Nicola Demo, Gianluigi Rozza

The focus of this paper is the application of classical model order reduction techniques, such as Active Subspaces and Proper Orthogonal Decomposition, to Deep Neural Networks. We…