Will Handley

18 papers A* 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automatic Laplace Collapsed Sampling: Scalable Marginalisation of Latent Parameters via Automatic Differentiation.
CoRR
Toby Lovick, David Yallup, Will Handley
2026 J jnl
Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference.
CoRR
David Yallup, Namu Kroupa, Will Handley
2026 J jnl
jaxsgp4: GPU-accelerated mega-constellation propagation with batch parallelism.
CoRR
Charlotte Priestley, Will Handley
2025 J jnl
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications.
Comput. Phys. Commun.
Joshua Albert, Csaba Balázs, Andrew Fowlie, Will Handley, Nicholas Hunt-Smith, Roberto Ruiz de Austri, Martin White
2025 J jnl
Resonances in reflective Hamiltonian Monte Carlo.
CoRR
Namu Kroupa, Gábor Csányi, Will Handley
2024 A* conf
Improving Gradient-Guided Nested Sampling for Posterior Inference.
ICML
Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur
2024 J jnl
Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data.
CoRR
Margret Westerkamp, Jakob Roth, Philipp Frank, Will Handley, Torsten A. Enßlin
2024 J jnl
Towards a Field-Based Bayesian Evidence Inference from Nested Sampling Data.
Entropy
Margret Westerkamp, Jakob Roth, Philipp Frank, Will Handley, Torsten A. Enßlin
2023 J jnl
Improving Gradient-guided Nested Sampling for Posterior Inference.
CoRR
Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur
2023 J jnl
Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and H
CoRR
Namu Kroupa, David Yallup, Will Handley, Michael P. Hobson
2023 J jnl
Piecewise Normalizing Flows.
CoRR
Harry Bevins, Will Handley
2022 J jnl
Split personalities in Bayesian Neural Networks: the case for full marginalisation.
CoRR
David Yallup, Will Handley, Mike Hobson, Anthony N. Lasenby, Pablo Lemos
2020 J jnl
Compromise-free Bayesian neural networks.
CoRR
Kamran Javid, Will Handley, Mike Hobson, Anthony N. Lasenby
2019 J jnl
An efficient method for solving highly oscillatory ordinary differential equations with applications to physical systems.
CoRR
Fruzsina Julia Agocs, Will Handley, Anthony N. Lasenby, Michael P. Hobson
2019 J jnl
Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation.
Stat. Comput.
Edward Higson, Will Handley, Michael P. Hobson, Anthony N. Lasenby
2019 J jnl
Maximum-Entropy Priors with Derived Parameters in a Specified Distribution.
Entropy
Will Handley, Marius Millea
2019 J jnl
anesthetic: nested sampling visualisation.
J. Open Source Softw.
Will Handley
2018 J jnl
fgivenx: A Python package for functional posterior plotting.
J. Open Source Softw.
Will Handley