A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations

17 December 2021

Papers citing "A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations"

4 / 4 papers shown

Title
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Boris Kriuk Matey Yordanov 31 0 0 02 May 2025
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien C. Pehlevan MLT AI4CE 13 6 0 26 Jan 2023
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016