Oct 23, 2021 · We present a new activation function that allows associativity between sequential layers of CNNs. Even though our activation function is non-linear, it can be ...

We call ConformalLayers the conformal embedding of sequential layers of CNNs comprised of those operations. By associativity, one sparse matrix and one sparse.

ConformalLayers is a conformal embedding of sequential layers of Convolutional Neural Networks (CNNs) that allows associativity between operations like ...

This work presents a new activation function that allows associativity between sequential layers of CNNs and takes advantage of associativity to combine all ...

We present a new activation function that allows associativity between sequential layers of CNNs. Even though our activation function is non-linear, it can be ...

We present a new activation function that allows associativity between sequential layers of CNNs. Even though our activation function is non-linear,

ConformalLayers: A non-linear sequential neural network with associative layers. 2. Input: n-D signal. Page 3. Convolutional Neural Networks. CNNs.

ConformalLayers: A non-linear sequential neural network with associative layers. – ... Section II shows the matrix representation of typical linear layers and ...

TL;DR: In this article, a non-linear activation function is proposed to combine all the conformal layers of CNNs and make the cost of inference constant ...

ConformalLayers: A non-linear sequential neural network with associative layers ... An analysis of ConformalLayers' robustness to corruptions in natural images.