Benjamin Cox — accepted AI-conference papers

2025

Learning a Sparse Polynomial Approximation to the Transition Function of General State-Space Models

Benjamin Cox, Émilie Chouzenoux, Víctor Elvira

ICASSP 2025accepted

State-space models are a statistical framework for modelling temporal phenomena via a hidden state. In this framework, the hidden state is not observed, and instead a series of related observations are obtained. A state-space model is defined by the state dynamics, which is encoded as a distribution…

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2024

End-to-End Learning of Gaussian Mixture Proposals Using Differentiable Particle Filters and Neural Networks

Benjamin Cox, Sara Pérez-Vieites, Nicolas Zilberstein, Martin Sevilla, Santiago Segarra, Víctor Elvira

ICASSP 2024accepted

We introduce a new method, named PropMixNN, that uses a neural network to learn the proposal distribution of a particle filter. The optimal proposal distribution is approximated as a multivariate Gaussian mixture, so the proposed method aims at learning the means and covariance matrices of the S com…

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