A singular Riemannian geometry approach to Deep Neural Networks II.
Reconstruction of 1-D equivalence classes

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A singular Riemannian geometry approach to Deep Neural Networks II. Reconstruction of 1-D equivalence classes

17 December 2021

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Papers citing "A singular Riemannian geometry approach to Deep Neural Networks II. Reconstruction of 1-D equivalence classes"

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GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Boris Kriuk Matey Yordanov 95 0 0 02 May 2025
A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on $n$ -dimensional Classes A. Benfenati A. Marta 82 2 0 09 Apr 2024
Probabilistic Risk Assessment of an Obstacle Detection System for GoA 4 Freight Trains Mario Gleirscher A. Haxthausen J. Peleska 52 4 0 26 Jun 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien Cengiz Pehlevan MLT AI4CE 70 6 0 26 Jan 2023
Origami in N dimensions: How feed-forward networks manufacture linear separability Christian Keup M. Helias 71 8 0 21 Mar 2022
A singular Riemannian geometry approach to Deep Neural Networks I. Theoretical foundations A. Benfenati A. Marta 86 11 0 17 Dec 2021