Gauge Freedom within the Class of Linear Feedback Particle Filters. - Ehsan Abedi; Simone Carlo Surace (CDC, 2019)

How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights. - Simone Carlo Surace; Anna Kutschireiter; Jean-Pascal Pfister (SIAM Rev., 2019)

Online Maximum-Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes. - Simone Carlo Surace; Jean-Pascal Pfister (IEEE Trans. Autom. Control., 2019)

Asymptotically Exact Unweighted Particle Filter for Manifold-Valued Hidden States and Point Process Observations. - Simone Carlo Surace; Anna Kutschireiter; Jean-Pascal Pfister (IEEE Control. Syst. Lett., 2020)

On the choice of metric in gradient-based theories of brain function. - Simone Carlo Surace; Jean-Pascal Pfister; Wulfram Gerstner; Johanni Brea (PLoS Comput. Biol., 2020)

Learning as filtering: Implications for spike-based plasticity. - Jannes Jegminat; Simone Carlo Surace; Jean-Pascal Pfister (PLoS Comput. Biol., 2022)

A Unification of Weighted and Unweighted Particle Filters. - Ehsan Abedi; Simone Carlo Surace; Jean-Pascal Pfister (SIAM J. Control. Optim., 2022)

Efficient sampling-based Bayesian Active Learning for synaptic characterization. - Camille Gontier; Simone Carlo Surace; Igor Delvendahl; Martin Müller; Jean-Pascal Pfister (PLoS Comput. Biol., 2023)