Andrew Millard

According to our database, Andrew Millard authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, July, 2025

Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles.

Andrew Millard, Zheng Zhao, Joshua Murphy, Simon Maskell

CoRR, May, 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, May, 2025

Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers.

Andrew Millard, Joshua Murphy, Daniel Frisch, Simon Maskell

CoRR, April, 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

Proceedings of the 35th IEEE International Workshop on Machine Learning for Signal Processing, 2025

2024

Parameterizing Hierarchical Particle Filters with Concept Drift for Time-varying Parameter Estimation.

Joshua Murphy, Conor Rosato, Andrew Millard, Simon Maskell

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024