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Physics-informed neural particle flow for the Bayesian update step

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Progressive correction for regularized particle filters
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Dirac Mixture Density Approximation Based on Minimization of the Weighted Cramér¿von Mises Distance
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Stiffness Mitigation in Stochastic Particle Flow Filters
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Conditional Markov Processes
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Can local particle filters beat the curse of dimensionality?
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Remarks on a Multivariate Transformation
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Navigation Framework from a Monocular Camera for Autonomous Mobile Robots
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