Work

Enhanced SMC2: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

DOI: 10.1109/mfi62651.2024.10705779

Authors: Conor Rosato, Joshua Murphy, Alessandro Varsi, Paul Horridge, Simon Maskell

Institution: University of Liverpool

Language: English

Topic: Markov Chains and Monte Carlo Methods

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

Funders: Arts and Humanities Research Council, Engineering and Physical Sciences Research Council

Awards: G3922097231, G4850962026

OpenAlex ID: W4403278291

FWCI: 4.573

Cites: 39

Cited by: 3

Related to: 10