Andrew Millard
According to our database1,
Andrew Millard authored at least 10 papers
between 2024 and 2026.
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Bibliography
2026
Stop Preaching and Start Practising Data Frugality for Responsible Development of AI.
CoRR, February, 2026
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
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