QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression

9 November 2022

Papers citing "QuadConv: Quadrature-Based Convolutions with Applications to Non-Uniform PDE Data Compression"

6 / 6 papers shown

Title
Machine Learning Techniques for Data Reduction of CFD Applications Jaemoon Lee Ki Sung Jung Qian Gong Xiao Li S. Klasky Jacqueline H. Chen Anand Rangarajan Sanjay Ranka 32 3 0 28 Apr 2024
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD R. Balin F. Simini Cooper Simpson Andrew Shao Alessandro Rigazzi M. Ellis Stephen Becker Alireza Doostan John A. Evans K. Jansen AI4CE 27 3 0 22 Jun 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 28 51 0 15 May 2023
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 74 81 0 15 Oct 2021
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 766 0 30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,087 0 02 Dec 2016