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Free-Form Variational Inference for Gaussian Process State-Space Models

v1v2 (latest)

Free-Form Variational Inference for Gaussian Process State-Space Models

International Conference on Machine Learning (ICML), 2023

20 February 2023

Edwin V. Bonilla

Scott A. Sisson

ArXiv (abs)PDF HTML

Papers citing "Free-Form Variational Inference for Gaussian Process State-Space Models"

5 / 5 papers shown

Interpretable neural network system identification method for two families of second-order systems based on characteristic curves

Interpretable neural network system identification method for two families of second-order systems based on characteristic curves

Federico J. Gonzalez

185

1

0

12 Sep 2025

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

Alexandre Thiéry

653

1

0

24 Mar 2025

Koopman-Equivariant Gaussian Processes

Koopman-Equivariant Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025

Nicolas Hoischen

383

6

0

10 Feb 2025

Recursive Gaussian Process State Space Model

Recursive Gaussian Process State Space Model

481

0

0

22 Nov 2024

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 ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

Sergios Theodoridis

349

3

0

03 Sep 2023

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