Non-separable Spatio-temporal Graph Kernels via SPDEs

Non-separable Spatio-temporal Graph Kernels via SPDEs

16 November 2021

Arno Solin

Papers citing "Non-separable Spatio-temporal Graph Kernels via SPDEs"

10 / 10 papers shown

Title
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities Alexander Nikitin Jannik Kossen Yarin Gal Pekka Marttinen UQCV 53 23 0 30 May 2024
Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems Rafael Anderka M. Deisenroth So Takao 20 1 0 26 Feb 2024
Gaussian Processes on Cellular Complexes Mathieu Alain So Takao Brooks Paige M. Deisenroth 19 12 0 02 Nov 2023
Hodge-Compositional Edge Gaussian Processes Maosheng Yang Viacheslav Borovitskiy Elvin Isufi 23 9 0 30 Oct 2023
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems Fiona Lippert Bart Kranstauber E. E. V. Loon Patrick Forré BDL AI4CE 9 0 0 14 Jun 2023
Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis Kim Jie Koh F. Cirak AI4CE 24 9 0 23 May 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series Alexander Nikitin Letizia Iannucci Samuel Kaski TTA SyDa AI4TS 34 10 0 19 May 2023
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine Learning Emilio Porcu M. Bevilacqua R. Schaback Chris J. Oates 26 14 0 05 Mar 2023
Scalable Deep Gaussian Markov Random Fields for General Graphs Joel Oskarsson Per Sidén Fredrik Lindsten BDL 11 3 0 10 Jun 2022
Stochastic Processes Under Linear Differential Constraints : Application to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation Iain Henderson P. Noble O. Roustant 16 1 0 23 Nov 2021