Andrew Millard

According to our database1, Andrew Millard authored at least 10 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Particle-Guided Diffusion for Gas-Phase Reaction Kinetics.
CoRR, March, 2026

Stop Preaching and Start Practising Data Frugality for Responsible Development of AI.
CoRR, February, 2026

Particle-Guided Diffusion Models for Partial Differential Equations.
CoRR, January, 2026

Investigating Batch Inference in a Sequential Monte Carlo Framework for Neural Networks.
CoRR, January, 2026

2025
Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals.
CoRR, July, 2025

Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles.
CoRR, May, 2025

Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks.
CoRR, May, 2025

HESS-MC<sup>2</sup>: Sequential Monte Carlo Squared Using Hessian Information and Second Order Proposals.
Proceedings of the 35th IEEE International Workshop on Machine Learning for Signal Processing, 2025

Incorporating the ChEES Criterion Into Sequential Monte Carlo Samplers.
Proceedings of the 28th International Conference on Information Fusion, 2025

2024
Parameterizing Hierarchical Particle Filters with Concept Drift for Time-varying Parameter Estimation.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024


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