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Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian
  Process State-Space Models

Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models

3 September 2023
Zhidi Lin
Juan Maroñas
Ying Li
Feng Yin
Sergios Theodoridis
ArXivPDFHTML

Papers citing "Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models"

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
Regularization-Based Efficient Continual Learning in Deep State-Space
  Models
Regularization-Based Efficient Continual Learning in Deep State-Space Models
Yuanhang Zhang
Zhidi Lin
Yiyong Sun
Feng Yin
Carsten Fritsche
CLL
26
2
0
15 Mar 2024
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
1