Author

Will Handley

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Preprint Sep 2026

Accelerating massive ensembles of ordinary differential equations

Solving large ensembles of small, independent ordinary differential equations (ODEs) is a common task in computational science and engineering, arising for example in Bayesian parameter estimation, Monte Carlo uncertainty quantification, and the integration of uncoupled physical systems such as the linearised Einstein-...

Lawrence Berry, Will Handley, Oliver Hahn et al. · 1 citation

#machine learning Preprint Sep 2026

Neural Transport Nested Sampling

This work develops a novel sampling algorithm, Neural Transport Nested Sampling (NTNS), which combines the classical strengths of nested sampling with modern neural flow-based methods, and is the first neural sampler to return a calibrated, temperature resolved partition function estimate at this scale.

D. Yallup, Will Handley · 1 citation