Lee Devlin

According to our database, Lee Devlin authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Joshua Murphy, Conor Rosato, Andrew Millard, Lee Devlin, Paul R. Horridge, Simon Maskell

CoRR, July, 2025

Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods.

Conor Rosato, Harvinder Lehal, Simon Maskell, Lee Devlin, Malcolm Strens

CoRR, May, 2025

An Entropic Metric for Measuring Calibration of Machine Learning Models.

Daniel James Sumler, Lee Devlin, Simon Maskell, Richard O. Lane

CoRR, February, 2025

2024

A General-Purpose Fixed-Lag No U-Turn Sampler for Nonlinear Non-Gaussian State Space Models.

Alessandro Varsi, Lee Devlin, Paul R. Horridge, Simon Maskell

IEEE Trans. Aerosp. Electron. Syst., August, 2024

The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler Without Accept/Reject.

Lee Devlin, Matthew Carter, Paul R. Horridge, Peter L. Green, Simon Maskell

IEEE Signal Process. Lett., 2024

2022

Efficient Learning of the Parameters of Non-Linear Models Using Differentiable Resampling in Particle Filters.

Conor Rosato, Lee Devlin, Vincent Béraud, Paul R. Horridge, Thomas B. Schön, Simon Maskell

IEEE Trans. Signal Process., 2022