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Geodesic Distance Estimation with Spherelets
v1v2 (latest)

Geodesic Distance Estimation with Spherelets

29 June 2019
Didong Li
David B. Dunson
ArXiv (abs)PDFHTML

Papers citing "Geodesic Distance Estimation with Spherelets"

13 / 13 papers shown
Title
Inductive Global and Local Manifold Approximation and Projection
Inductive Global and Local Manifold Approximation and Projection
Jungeum Kim
Tianlin Li
92
1
0
12 Jun 2024
Manifold Regularization Classification Model Based On Improved Diffusion
  Map
Manifold Regularization Classification Model Based On Improved Diffusion Map
Hongfu Guo
Wencheng Zou
Zeyu Zhang
Shuishan Zhang
Ruitong Wang
Jintao Zhang
DiffM
20
0
0
24 Mar 2024
GeRA: Label-Efficient Geometrically Regularized Alignment
GeRA: Label-Efficient Geometrically Regularized Alignment
Dustin Klebe
Tal Shnitzer
Mikhail Yurochkin
Leonid Karlinsky
Justin Solomon
81
2
0
01 Oct 2023
An Intrinsic Approach to Scalar-Curvature Estimation for Point Clouds
An Intrinsic Approach to Scalar-Curvature Estimation for Point Clouds
Abigail Hickok
Andrew J. Blumberg
3DPC
43
2
0
04 Aug 2023
Implicit Bayes Adaptation: A Collaborative Transport Approach
Implicit Bayes Adaptation: A Collaborative Transport Approach
Bo-Wei Jiang
Hamid Krim
Tianfu Wu
D. Cansever
52
1
0
17 Apr 2023
Self-supervised Representation Learning on Electronic Health Records
  with Graph Kernel Infomax
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax
Hao-Ren Yao
Nairen Cao
Katina Russell
D. Chang
O. Frieder
Jeremy T. Fineman
SSL
71
1
0
01 Sep 2022
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation
Rolandos Alexandros Potamias
Alexandros Neofytou
Kyriaki-Margarita Bintsi
Stefanos Zafeiriou
78
13
0
30 May 2022
From the Greene--Wu Convolution to Gradient Estimation over Riemannian
  Manifolds
From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds
Tianyu Wang
Yifeng Huang
Didong Li
40
8
0
17 Aug 2021
LDLE: Low Distortion Local Eigenmaps
LDLE: Low Distortion Local Eigenmaps
Dhruv Kohli
A. Cloninger
Zhengchao Wan
107
18
0
26 Jan 2021
Minimax Estimation of Distances on a Surface and Minimax Manifold
  Learning in the Isometric-to-Convex Setting
Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting
E. Arias-Castro
Phong Alain Chau
151
5
0
25 Nov 2020
Implicit Kernel Attention
Implicit Kernel Attention
Kyungwoo Song
Yohan Jung
Dongjun Kim
Il-Chul Moon
76
16
0
11 Jun 2020
Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction
  in $L^\infty$ from Random Samples
Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in L∞L^\inftyL∞ from Random Samples
David B. Dunson
Hau‐Tieng Wu
Nan Wu
116
65
0
11 Dec 2019
Efficient Weingarten Map and Curvature Estimation on Manifolds
Efficient Weingarten Map and Curvature Estimation on Manifolds
Yueqi Cao
Didong Li
Huafei Sun
A. Assadi
Shiqiang Zhang
56
11
0
26 May 2019
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