Paul B. Rohrbach | DeepAI

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Featured Co-authors

Robert Scheichl
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research

∙ 08/25/2022

Convergence of random-weight sequential Monte Carlo methods

We investigate the properties of a sequential Monte Carlo method where t...

0 Paul B. Rohrbach, et al. ∙

research

∙ 10/21/2020

Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19

Epidemiological forecasts are beset by uncertainties in the generative m...

0 Yuting I. Li, et al. ∙

research

∙ 01/22/2020

Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format

Low rank tensor approximations have been employed successfully, for exam...

0 Paul B. Rohrbach, et al. ∙