Andrew Millard
Scholar

Andrew Millard

Google Scholar ID: u-i11fAAAAAJ
PhD Student, University of Liverpool
Sequential Monte Carlo SamplersBayesian InferenceBayesian Deep LearningMachine Learning
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Citations & Impact
All-time
Citations
1
 
H-index
1
 
i10-index
0
 
Publications
5
 
Co-authors
5
list available
Contact
No contact links provided.
Publications
8 items
Particle-Guided Diffusion for Gas-Phase Reaction Kinetics
2026
Cited
0
Stop Preaching and Start Practising Data Frugality for Responsible Development of AI
2026
Cited
0
Particle-Guided Diffusion Models for Partial Differential Equations
2026
Cited
0
Investigating Batch Inference in a Sequential Monte Carlo Framework for Neural Networks
2026
Cited
0
Hess-MC2: Sequential Monte Carlo Squared using Hessian Information and Second Order Proposals
2025
Cited
0
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles
2025
Cited
0
Utilising Gradient-Based Proposals Within Sequential Monte Carlo Samplers for Training of Partial Bayesian Neural Networks
2025
Cited
0
Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers
2025
Cited
0
Resume (English only)
Co-authors
5 total
Joshua Murphy
Joshua Murphy
University of Liverpool
Simon Maskell
Simon Maskell
University of Liverpool
Conor Rosato
Conor Rosato
University of Liverpool
Zheng Zhao
Zheng Zhao
Assistant professor, Linköping University
Daniel Frisch
Daniel Frisch
Karlsruher Institut für Technologie