Lee Devlin

Orcid: 0000-0002-2059-7284

According to our database¹, Lee Devlin authored at least 9 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Towards Scalable Proteomics: Opportunistic SMC Samplers on HTCondor.

[BibT_eX]

[DOI]

CoRR, September, 2025

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

[BibT_eX]

[DOI]

CoRR, July, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

An Entropic Metric for Measuring Calibration of Machine Learning Models.

[BibT_eX]

[DOI]

Proceedings of TRUST-AI 2025, 2025

HESS-MC<sup>2</sup>: Sequential Monte Carlo Squared Using Hessian Information and Second Order Proposals.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Workshop on Machine Learning for Signal Processing, 2025

Trajectory Information Exchange Multi-Bernoulli Filtering for Track-Before-Detect.

[BibT_eX]

[DOI]

Sion Lynch

Ángel F. García-Fernández

Lee Devlin

Proceedings of the 28th International Conference on Information Fusion, 2025

2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2024

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Lee Devlin

Timeline

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Bibliography

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