Search Results for author: Adam Celarek

Found 1 papers, 1 papers with code

Gaussian Mixture Convolution Networks

1 code implementation ICLR 2022 Adam Celarek, Pedro Hermosilla, Bernhard Kerbl, Timo Ropinski, Michael Wimmer

This paper proposes a novel method for deep learning based on the analytical convolution of multidimensional Gaussian mixtures.

Cannot find the paper you are looking for? You can Submit a new open access paper.