ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.19390
  4. Cited By
Implicit Manifold Gaussian Process Regression

Implicit Manifold Gaussian Process Regression

30 October 2023
Bernardo Fichera
Viacheslav Borovitskiy
Andreas Krause
A. Billard
ArXivPDFHTML

Papers citing "Implicit Manifold Gaussian Process Regression"

12 / 12 papers shown
Title
Residual Deep Gaussian Processes on Manifolds
Residual Deep Gaussian Processes on Manifolds
Kacper Wyrwal
Andreas Krause
Viacheslav Borovitskiy
BDL
76
0
0
31 Oct 2024
Bayesian Optimal Experimental Design for Robot Kinematic Calibration
Bayesian Optimal Experimental Design for Robot Kinematic Calibration
Ersin Daş
Thomas Touma
J. W. Burdick
72
0
0
17 Sep 2024
Implicit Gaussian process representation of vector fields over arbitrary
  latent manifolds
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
Robert L. Peach
M. Vinao-Carl
Nir Grossman
Michael David
Emma-Jane Mallas
David Sharp
Paresh A. Malhotra
P. Vandergheynst
Adam Gosztolai
52
5
0
28 Sep 2023
Quadric Hypersurface Intersection for Manifold Learning in Feature Space
Quadric Hypersurface Intersection for Manifold Learning in Feature Space
Fedor Pavutnitskiy
Sergei Ivanov
E. Abramov
Viacheslav Borovitskiy
Artem Klochkov
V. Vialov
A. Zaikovskii
Aleksandr Petiushko
27
1
0
11 Feb 2021
Matérn Gaussian Processes on Graphs
Matérn Gaussian Processes on Graphs
Viacheslav Borovitskiy
I. Azangulov
Alexander Terenin
P. Mostowsky
M. Deisenroth
N. Durrande
32
80
0
29 Oct 2020
Graph Based Gaussian Processes on Restricted Domains
Graph Based Gaussian Processes on Restricted Domains
David B. Dunson
Hau‐Tieng Wu
Nan Wu
GP
25
25
0
14 Oct 2020
Matérn Gaussian processes on Riemannian manifolds
Matérn Gaussian processes on Riemannian manifolds
Viacheslav Borovitskiy
Alexander Terenin
P. Mostowsky
M. Deisenroth
71
122
0
17 Jun 2020
Efficiently Sampling Functions from Gaussian Process Posteriors
Efficiently Sampling Functions from Gaussian Process Posteriors
James T. Wilson
Viacheslav Borovitskiy
Alexander Terenin
P. Mostowsky
M. Deisenroth
41
163
0
21 Feb 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
48
65
0
11 Dec 2019
Error estimates for spectral convergence of the graph Laplacian on
  random geometric graphs towards the Laplace--Beltrami operator
Error estimates for spectral convergence of the graph Laplacian on random geometric graphs towards the Laplace--Beltrami operator
Nicolas García Trillos
Moritz Gerlach
Matthias Hein
D. Slepčev
83
172
0
30 Jan 2018
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
205
3,696
0
28 Feb 2017
Probabilistic Numerics and Uncertainty in Computations
Probabilistic Numerics and Uncertainty in Computations
Philipp Hennig
Michael A. Osborne
Mark Girolami
48
305
0
03 Jun 2015
1