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Gaussian Process Landmarking on Manifolds
v1v2v3v4 (latest)

Gaussian Process Landmarking on Manifolds

9 February 2018
Tingran Gao
S. Kovalsky
Ingrid Daubechies
ArXiv (abs)PDFHTML

Papers citing "Gaussian Process Landmarking on Manifolds"

21 / 21 papers shown
Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
Rafael Cabral
Maria de Iorio
Andrew Harris
237
0
0
30 Aug 2024
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
P. Mostowsky
Vincent Dutordoir
I. Azangulov
Noémie Jaquier
Michael John Hutchinson
Aditya Ravuri
Leonel Rozo
Alexander Terenin
Viacheslav Borovitskiy
228
10
0
10 Jul 2024
Euler Characteristics and Homotopy Types of Definable Sublevel Sets,
  with Applications to Topological Data Analysis
Euler Characteristics and Homotopy Types of Definable Sublevel Sets, with Applications to Topological Data Analysis
Mattie Ji
Kun Meng
Kexin Ding
174
3
0
06 Sep 2023
Shape of my heart: Cardiac models through learned signed distance
  functions
Shape of my heart: Cardiac models through learned signed distance functionsInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Jan Verhulsdonk
Thomas Grandits
F. Sahli Costabal
Thomas Pinetz
Rolf Krause
A. Auricchio
Gundolf Haase
Simone Pezzuto
Alexander Effland
400
11
0
31 Aug 2023
Stability and Inference of the Euler Characteristic Transform
Stability and Inference of the Euler Characteristic Transform
L. Marsh
David Beers
256
9
0
23 Mar 2023
Optimization on Manifolds via Graph Gaussian Processes
Optimization on Manifolds via Graph Gaussian ProcessesSIAM Journal on Mathematics of Data Science (SIMODS), 2022
Hwanwoo Kim
D. Sanz-Alonso
Ruiyi Yang
470
8
0
20 Oct 2022
Optimal Sensor Placement in Body Surface Networks using Gaussian
  Processes
Optimal Sensor Placement in Body Surface Networks using Gaussian Processes
Emad Alenany
Changqing Cheng
178
0
0
07 Sep 2022
Nonparametric Multi-shape Modeling with Uncertainty Quantification
Nonparametric Multi-shape Modeling with Uncertainty Quantification
Hengrui Luo
Justin Strait
408
4
0
18 Jun 2022
A Sheaf-Theoretic Construction of Shape Space
A Sheaf-Theoretic Construction of Shape SpaceFoundations of Computational Mathematics (FoCM), 2022
Shreya Arya
Justin Curry
S. Mukherjee
291
10
0
19 Apr 2022
Unsupervised Statistical Learning for Die Analysis in Ancient
  Numismatics
Unsupervised Statistical Learning for Die Analysis in Ancient Numismatics
Andreas Heinecke
Emanuel Mayer
A. Natarajan
Yoonju Jung
145
5
0
01 Dec 2021
Geometry-Aware Hierarchical Bayesian Learning on Manifolds
Geometry-Aware Hierarchical Bayesian Learning on ManifoldsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Yonghui Fan
Yalin Wang
258
2
0
30 Oct 2021
On the Correspondence between Gaussian Processes and Geometric Harmonics
On the Correspondence between Gaussian Processes and Geometric Harmonics
Felix Dietrich
J. M. Bello-Rivas
Ioannis G. Kevrekidis
352
3
0
05 Oct 2021
Inference for Gaussian Processes with Matérn Covariogram on Compact
  Riemannian Manifolds
Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian ManifoldsJournal of machine learning research (JMLR), 2021
Didong Li
Wenpin Tang
Sudipto Banerjee
498
20
0
08 Apr 2021
Matérn Gaussian processes on Riemannian manifolds
Matérn Gaussian processes on Riemannian manifolds
Viacheslav Borovitskiy
Alexander Terenin
P. Mostowsky
M. Deisenroth
698
148
0
17 Jun 2020
Additive stacking for disaggregate electricity demand forecasting
Additive stacking for disaggregate electricity demand forecasting
Christian Capezza
B. Palumbo
Y. Goude
S. Wood
Matteo Fasiolo
AI4TS
333
7
0
20 May 2020
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds
J. Harlim
D. Sanz-Alonso
Ruiyi Yang
251
24
0
23 Oct 2019
Nyström landmark sampling and regularized Christoffel functions
Nyström landmark sampling and regularized Christoffel functionsMachine-mediated learning (ML), 2019
Michaël Fanuel
J. Schreurs
Johan A. K. Suykens
376
15
0
29 May 2019
Eyes on the Prize: Improved Biological Surface Registration via Forward
  Propagation
Eyes on the Prize: Improved Biological Surface Registration via Forward Propagation
Robert J. Ravier
289
2
0
27 Dec 2018
On the Consistency of Graph-based Bayesian Learning and the Scalability
  of Sampling Algorithms
On the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms
Nicolas García Trillos
Zachary T. Kaplan
Thabo Samakhoana
D. Sanz-Alonso
259
23
0
20 Oct 2017
The Geometry of Synchronization Problems and Learning Group Actions
The Geometry of Synchronization Problems and Learning Group Actions
Tingran Gao
J. Brodzki
S. Mukherjee
545
40
0
28 Oct 2016
The Diffusion Geometry of Fibre Bundles: Horizontal Diffusion Maps
The Diffusion Geometry of Fibre Bundles: Horizontal Diffusion Maps
Tingran Gao
445
22
0
07 Feb 2016
1
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