David Yallup

According to our database1, David Yallup authored at least 6 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Automatic Laplace Collapsed Sampling: Scalable Marginalisation of Latent Parameters via Automatic Differentiation.
CoRR, March, 2026

Nested Slice Sampling: Vectorized Nested Sampling for GPU-Accelerated Inference.
CoRR, January, 2026

2025
Particle Monte Carlo methods for Lattice Field Theory.
CoRR, November, 2025

2023
Robust simulation-based inference in cosmology with Bayesian neural networks.
Mach. Learn. Sci. Technol., March, 2023

Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and H<sub>0</sub> inference.
CoRR, 2023

2022
Split personalities in Bayesian Neural Networks: the case for full marginalisation.
CoRR, 2022


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