Towards Flexibility and Interpretability of Gaussian Process State-Space Model

21 January 2023

Papers citing "Towards Flexibility and Interpretability of Gaussian Process State-Space Model"

6 / 6 papers shown

Title
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 Yuanhang Zhang Zhidi Lin Yiyong Sun Feng Yin Carsten Fritsche CLL 26 2 0 15 Mar 2024
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference Zhidi Lin Yiyong Sun Feng Yin Alexandre Thiéry 11 3 0 10 Dec 2023
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models Zhidi Lin Juan Maroñas Ying Li Feng Yin Sergios Theodoridis 11 3 0 03 Sep 2023
Markovian Gaussian Process Variational Autoencoders Harrison Zhu Carles Balsells Rodas Yingzhen Li BDL AI4TS 22 14 0 12 Jul 2022
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 72 0 28 May 2022