Connections between Numerical Algorithms for PDEs and Neural Networks

30 July 2021

Papers citing "Connections between Numerical Algorithms for PDEs and Neural Networks"

6 / 6 papers shown

Title
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields Tom Fischer Pascal Peter Joachim Weickert Eddy Ilg DiffM AI4CE 30 0 0 23 May 2024
Anisotropic Diffusion Stencils: From Simple Derivations over Stability Estimates to ResNet Implementations Karl Schrader Joachim Weickert Michael Krause DiffM 11 0 0 11 Sep 2023
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation Hui Zhu Shi Shu Jianping Zhang SSeg 14 6 0 27 Oct 2022
Learning Sparse Masks for Diffusion-based Image Inpainting Tobias Alt Pascal Peter Joachim Weickert DiffM 16 13 0 06 Oct 2021
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations Ido Ben-Yair Gil Ben Shalom Moshe Eliasof Eran Treister MQ 16 5 0 31 Aug 2021
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 80 125 0 16 Feb 2021