most citedTensor Train Discrete Grid-Based Filters: Breaking the Curse of Dimensionality

5 citations

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2 papers

eess.SP2025★ 5 cited

Tensor Train Discrete Grid-Based Filters: Breaking the Curse of Dimensionality

J. Matoušek, M. Brandner, J. Duník +1

This paper deals with the state estimation of stochastic systems and examines the possible employment of tensor decompositions in grid-based filtering routines, in particular, the…

eess.SP2025★ 2 cited

Data-Augmented Numerical Integration in State Prediction: Rule Selection

Jindrich Dunik, Ladislav Kral, Jakub Matousek +2

This paper deals with the state prediction of nonlinear stochastic dynamic systems. The emphasis is laid on a solution to the integral Chapman-Kolmogorov equation by a deterministi…