Horizontal Flows and Manifold Stochastics in Geometric Deep Learning

13 September 2019

Papers citing "Horizontal Flows and Manifold Stochastics in Geometric Deep Learning"

9 / 9 papers shown

Title
Manifold Learning via Foliations and Knowledge Transfer E. Tron E. Fioresi 19 1 0 11 Sep 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 30 3 0 25 Jan 2024
Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists R. Fioresi F. Zanchetta PINN 17 4 0 09 May 2023
A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method Yu Xiang Guannan Zhang Liwei Hu Jun Zhang Wenyong Wang 22 3 0 23 Jun 2022
Model-centric Data Manifold: the Data Through the Eyes of the Model Luca Grementieri R. Fioresi 42 9 0 26 Apr 2021
ManifoldNorm: Extending normalizations on Riemannian Manifolds Rudrasis Chakraborty 16 10 0 30 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015