Surace, Simone Carlo

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Surace, Simone Carlo; Kutschireiter, Anna; Pfister, Jean Pascal (2020). Asymptotically Exact Unweighted Particle Filter for Manifold-Valued Hidden States and Point Process Observations. IEEE Control Systems Letters, 4(2), pp. 480-485. 10.1109/LCSYS.2019.2951093

Kutschireiter, Anna; Surace, Simone Carlo; Pfister, Jean Pascal (2020). The Hitchhiker’s guide to nonlinear filtering. Journal of Mathematical Psychology, 94(102307), p. 102307. 10.1016/

Surace, Simone Carlo; Pfister, Jean-Pascal; Gerstner, Wulfram; Brea, Johanni (2020). On the choice of metric in gradient-based theories of brain function. PLoS computational biology, 16(4), e1007640. Public Library of Science 10.1371/journal.pcbi.1007640


Surace, Simone Carlo; Kutschireiter, Anna; Pfister, Jean-Pascal (2019). How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights. SIAM review, 61(1), pp. 79-91. SIAM 10.1137/17M1125340

Surace, Simone Carlo; Pfister, Jean-Pascal (2019). Online Maximum-Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes. IEEE transactions on automatic control, 64(7), pp. 2814-2829. IEEE 10.1109/TAC.2018.2880404


Kutschireiter, Anna; Surace, Simone Carlo; Sprekeler, Henning; Pfister, Jean Pascal (2017). Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception. Scientific Reports, 7(1), p. 8722. Nature Publishing Group 10.1038/s41598-017-06519-y


Surace, Simone Carlo; Pfister, Jean Pascal (2015). A Statistical Model for In Vivo Neuronal Dynamics. PLoS ONE, 10(11), e0142435. Public Library of Science 10.1371/journal.pone.0142435

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