A module for performing repeated convolutions involving high-level Python objects (which includes ... a first call to the module will pre-compute the convolution with symbols (rather than values) by ...

A Python module to generate fast bilinear algorithms for different variants of convolution. We provide a simple function to generate Toom-Cook algorithms with either integer nodes (cheby=False) or ...

Abstract: The convolution operation is a data-intensive algorithm that requires a lot of computing power. As convolutional neural networks become more complex, there are limitations to algorithmically ...

Abstract: The convolution operation consumes the main amount of computation and memory in the NTRUEncrypt public-key cryptosystem, which is the key to the implementation of NTRUEncrypt. A Circular ...