Parameterizing Hierarchical Particle Filters with Concept Drift for Time-varying Parameter Estimation. - Joshua Murphy; Conor Rosato; Andrew Millard; Simon Maskell (APSIPA, 2024)

Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers. - Andrew Millard; Joshua Murphy; Daniel Frisch; Simon Maskell (CoRR, 2025)

Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks. - Andrew Millard; Joshua Murphy; Simon Maskell; Zheng Zhao (CoRR, 2025)

Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles. - Andrew Millard; Zheng Zhao; Joshua Murphy; Simon Maskell (CoRR, 2025)

Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals. - Joshua Murphy; Conor Rosato; Andrew Millard; Lee Devlin; Paul R. Horridge; Simon Maskell (CoRR, 2025)