Strictly and non-strictly positive definite functions on spheres

30 November 2011

Papers citing "Strictly and non-strictly positive definite functions on spheres"

50 / 60 papers shown

Title
On the Saturation Effects of Spectral Algorithms in Large Dimensions Weihao Lu Haobo Zhang Yicheng Li Q. Lin 105 2 0 01 Mar 2025
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation Carlos Soto M. Reimherr Aleksandra B. Slavkovic Mark Shriver CVBM 93 1 0 10 Sep 2024
On the Pinsker bound of inner product kernel regression in large dimensions Weihao Lu Jialin Ding Haobo Zhang Qian Lin 93 1 0 02 Sep 2024
Matern Correlation: A Panoramic Primer Xiaoqing Chen 16 0 0 17 Apr 2024
Smoothness Estimation for Whittle-Matérn Processes on Closed Riemannian Manifolds Moritz Korte-Stapff Toni Karvonen Eric Moulines 52 0 0 31 Dec 2023
Implicit Manifold Gaussian Process Regression Bernardo Fichera Viacheslav Borovitskiy Andreas Krause A. Billard 50 4 0 30 Oct 2023
Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models Tianxiang Gao Xiaokai Huo Hailiang Liu Hongyang Gao BDL 84 8 0 16 Oct 2023
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures T. Besnier Sylvain Arguillere E. Pierson Mohamed Daoudi 3DH 77 9 0 27 Jun 2023
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension Moritz Haas David Holzmüller U. V. Luxburg Ingo Steinwart MLT 100 14 0 23 May 2023
A Spatially Correlated Competing Risks Time-to-Event Model for Supercomputer GPU Failure Data Jie Min Yili Hong W. Meeker G. Ostrouchov 60 2 0 29 Mar 2023
Gaussian kernels on non-simply-connected closed Riemannian manifolds are never positive definite Siran Li 55 3 0 12 Mar 2023
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine Learning Emilio Porcu M. Bevilacqua R. Schaback Chris J. Oates 63 16 0 05 Mar 2023
The Gaussian kernel on the circle and spaces that admit isometric embeddings of the circle Nathael Da Costa Cyrus Mostajeran Juan-Pablo Ortega BDL 59 4 0 21 Feb 2023
Strictly positive definite kernels on compact Riemannian manifolds J. Guella Janin Jäger 22 0 0 19 Jan 2023
Cox processes driven by transformed Gaussian processes on linear networks -- A review and new contributions Jesper Møller J. Rasmussen 53 7 0 16 Dec 2022
Asymptotics for isotropic Hilbert-valued spherical random fields Alessia Caponera 27 0 0 05 Dec 2022
Sobolev Spaces, Kernels and Discrepancies over Hyperspheres S. Hubbert Emilio Porcu Chris J. Oates Mark Girolami 63 4 0 16 Nov 2022
Optimization on Manifolds via Graph Gaussian Processes Hwanwoo Kim D. Sanz-Alonso Ruiyi Yang 92 2 0 20 Oct 2022
An asymptotic study of the joint maximum likelihood estimation of the regularity and the amplitude parameters of a Mat{é}rn model on the circle S. Petit 83 1 0 16 Sep 2022
Geostatistics for large datasets on Riemannian manifolds: a matrix-free approach M. Pereira N. Desassis D. Allard 36 10 0 26 Aug 2022
The periodic zeta covariance function for Gaussian process regression Giacomo Petrillo 46 0 0 04 Aug 2022
The Circular Matern Covariance Function and its Link to Markov Random Fields on the Circle Chun-Chia Huang Ao Li 18 1 0 30 Jan 2022
Fast characterization of inducible regions of atrial fibrillation models with multi-fidelity Gaussian process classification Lia Gander Simone Pezzuto A. Gharaviri Rolf Krause P. Perdikaris F. Sahli Costabal 48 13 0 15 Dec 2021
Non-Homogeneity Estimation and Universal Kriging on the Sphere Nicholas W. Bussberg Jacob Shields Chunfeng Huang 16 3 0 06 Jul 2021
Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian Manifolds Didong Li Wenpin Tang Sudipto Banerjee 87 14 0 08 Apr 2021
The Gauss Hypergeometric Covariance Kernel for Modeling Second-Order Stationary Random Fields in Euclidean Spaces: its Compact Support, Properties and Spectral Representation Xavier Emery Alfredo Alegría 53 13 0 23 Jan 2021
SPHARMA approximations for stationary functional time series on the sphere Alessia Caponera 42 12 0 28 Sep 2020
Karhunen-Loève Expansions for Axially Symmetric Gaussian Processes: Modeling Strategies and $L^2$ Approximations Alfredo Alegría F. Cuevas-Pacheco 13 5 0 03 Jul 2020
Spatiotemporal Multi-Resolution Approximations for Analyzing Global Environmental Data M. Appel E. Pebesma 49 13 0 30 Jun 2020
Necessary and sufficient conditions for asymptotically optimal linear prediction of random fields on compact metric spaces Kristin Kirchner David Bolin 36 10 0 18 May 2020
A unified view of space-time covariance functions through Gelfand pairs C. Berg 10 1 0 27 Apr 2020
The Turning Arcs: a Computationally Efficient Algorithm to Simulate Isotropic Vector-Valued Gaussian Random Fields on the $d$ -Sphere Alfredo Alegría Xavier Emery Christian Lantuéjoul 52 16 0 30 Mar 2020
A Deep Conditioning Treatment of Neural Networks Naman Agarwal Pranjal Awasthi Satyen Kale AI4CE 115 16 0 04 Feb 2020
Recent Developments in Complex and Spatially Correlated Functional Data Israel Martínez-Hernádez M. Genton 46 30 0 05 Jan 2020
Beyond Matérn: On A Class of Interpretable Confluent Hypergeometric Covariance Functions P. Ma A. Bhadra 60 11 0 14 Nov 2019
A Fine-Grained Spectral Perspective on Neural Networks Greg Yang Hadi Salman 125 113 0 24 Jul 2019
Asymptotics for Spherical Functional Autoregressions Alessia Caponera Domenico Marinucci 31 17 0 12 Jul 2019
rcosmo: R Package for Analysis of Spherical, HEALPix and Cosmological Data D. Fryer Ming Li Andriy Olenko 14 12 0 12 Jul 2019
$Modelling and simulation of multifractal star-shaped particles$ Modelling and simulation of multifractal star-shaped particles Alfredo Alegría 25 0 0 22 Jan 2019
Non-Gaussian Geostatistical Modeling using (skew) t Processes M. Bevilacqua Christian Caamaño-Carrillo R. Arellano-Valle Víctor Morales-Oñate 158 20 0 15 Dec 2018
A Riemann-Stein Kernel Method Alessandro Barp Christine J. Oates Emilio Porcu Mark Girolami 90 22 0 11 Oct 2018
Bayesian quadrature and energy minimization for space-filling design L. Pronzato A. Zhigljavsky 122 9 0 31 Aug 2018
$Fast and exact simulation of isotropic Gaussian random fields on $\mathbb{S}^{2}$ and $\mathbb{S}^{2}\times \mathbb{R}$$ Fast and exact simulation of isotropic Gaussian random fields on $\mathbb{S}^{2}$ and $\mathbb{S}^{2}\times \mathbb{R}$ F. Cuevas Emilio Porcu D. Allard 10 0 0 11 Jul 2018
Towards a Complete Picture of Stationary Covariance Functions on Spheres Cross Time P. White Emilio Porcu 37 8 0 11 Jul 2018
Schoenberg coefficients and curvature at the origin of continuous isotropic positive definite kernels on spheres A. Arafat P. Gregori Emilio Porcu 30 12 0 06 Jul 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 349 3,226 0 20 Jun 2018
Log Gaussian Cox processes on the sphere Jesper Møller F. Cuevas-Pacheco 36 6 0 08 Mar 2018
Strictly proper kernel scores and characteristic kernels on compact spaces Ingo Steinwart J. Ziegel 72 25 0 14 Dec 2017
Isotropic covariance functions on graphs and their edges E. Anderes Jesper Møller J. Rasmussen 48 38 0 03 Oct 2017
Modeling Temporally Evolving and Spatially Globally Dependent Data Emilio Porcu Alfredo Alegría Reinhard Furrer 43 82 0 28 Jun 2017