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D. Posselt

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most citedKernel embedded nonlinear observational mappings in the variational mapping particle filter

2 citations · 2 across the 1 of their papers we have counts for

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1 paper · 1 filter

stat.ML2019★ 2 cited

Kernel embedded nonlinear observational mappings in the variational mapping particle filter

Manuel Pulido, Peter Jan vanLeeuwen, Derek J. Posselt

Recently, some works have suggested methods to combine variational probabilistic inference with Monte Carlo sampling. One promising approach is via local optimal transport. In this…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.