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Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field
  and Online Inference

Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference

10 December 2023
Zhidi Lin
Yiyong Sun
Feng Yin
Alexandre Thiéry
ArXivPDFHTML

Papers citing "Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference"

3 / 3 papers shown
Title
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
Zhidi Lin
Ying Li
Feng Yin
Juan Maroñas
Alexandre Thiéry
49
0
0
24 Mar 2025
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and
  Inference in Sparsity-Aware Modeling
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
Lei Cheng
Feng Yin
Sergios Theodoridis
S. Chatzis
Tsung-Hui Chang
60
73
0
28 May 2022
Auto-differentiable Ensemble Kalman Filters
Auto-differentiable Ensemble Kalman Filters
Yuming Chen
D. Sanz-Alonso
Rebecca Willett
32
33
0
16 Jul 2021
1