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20222024
most citedLog-Gaussian Gamma Processes for Training Bayesian Neural Networks in Raman and CARS Spectroscopies

7 citations · 14 across the 5 of their papers we have counts for

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2 papers · 1 filter

stat.ML2022★ 3 cited

Mixtures of Gaussian Process Experts with SMC

Teemu Härkönen, Sara Wade, Kody Law +1

Gaussian processes are a key component of many flexible statistical and machine learning models. However, they exhibit cubic computational complexity and high memory constraints du…

stat.AP2022★ 3 cited

A Log-Gaussian Cox Process with Sequential Monte Carlo for Line Narrowing in Spectroscopy

Teemu Härkönen, Emma Hannula, Matthew T. Moores +2

We propose a statistical model for narrowing line shapes in spectroscopy that are well approximated as linear combinations of Lorentzian or Voigt functions. We introduce a log-Gaus…