Andrew Millard

11 papers C 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Investigating Batch Inference in a Sequential Monte Carlo Framework for Neural Networks.
CoRR
Andrew Millard, Joshua Murphy, Peter Green, Simon Maskell
2026 J jnl
Particle-Guided Diffusion Models for Partial Differential Equations.
CoRR
Andrew Millard, Fredrik Lindsten, Zheng Zhao
2026 J jnl
Particle-Guided Diffusion for Gas-Phase Reaction Kinetics.
CoRR
Andrew Millard, Henrik Pedersen
2026 J jnl
Stop Preaching and Start Practising Data Frugality for Responsible Development of AI.
CoRR
Sophia N. Wilson, Guðrún Fjóla Guðmundsdóttir, Andrew Millard, Raghavendra Selvan, Sebastian Mair
2025 — conf
HESS-MC
MLSP
Joshua Murphy, Conor Rosato, Andrew Millard, Lee Devlin, Paul R. Horridge, Simon Maskell
2025 J jnl
Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals.
CoRR
Joshua Murphy, Conor Rosato, Andrew Millard, Lee Devlin, Paul R. Horridge, Simon Maskell
2025 J jnl
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles.
CoRR
Andrew Millard, Zheng Zhao, Joshua Murphy, Simon Maskell
2025 C conf
Incorporating the ChEES Criterion Into Sequential Monte Carlo Samplers.
FUSION
Andrew Millard, Joshua Murphy, Daniel Frisch, Simon Maskell
2025 J jnl
Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers.
CoRR
Andrew Millard, Joshua Murphy, Daniel Frisch, Simon Maskell
2025 J jnl
Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks.
CoRR
Andrew Millard, Joshua Murphy, Simon Maskell, Zheng Zhao
2024 — conf
Parameterizing Hierarchical Particle Filters with Concept Drift for Time-varying Parameter Estimation.
APSIPA
Joshua Murphy, Conor Rosato, Andrew Millard, Simon Maskell