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Simone Carlo Surace
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2020 – today
- 2023
- [j7]Camille Gontier, Simone Carlo Surace, Igor Delvendahl, Martin Müller, Jean-Pascal Pfister:
Efficient sampling-based Bayesian Active Learning for synaptic characterization. PLoS Comput. Biol. 19(8) (2023) - 2022
- [j6]Jannes Jegminat, Simone Carlo Surace, Jean-Pascal Pfister:
Learning as filtering: Implications for spike-based plasticity. PLoS Comput. Biol. 18(2) (2022) - [j5]Ehsan Abedi, Simone Carlo Surace, Jean-Pascal Pfister:
A Unification of Weighted and Unweighted Particle Filters. SIAM J. Control. Optim. 60(2): 597-619 (2022) - 2020
- [j4]Simone Carlo Surace, Anna Kutschireiter, Jean-Pascal Pfister:
Asymptotically Exact Unweighted Particle Filter for Manifold-Valued Hidden States and Point Process Observations. IEEE Control. Syst. Lett. 4(2): 480-485 (2020) - [j3]Simone Carlo Surace, Jean-Pascal Pfister, Wulfram Gerstner, Johanni Brea:
On the choice of metric in gradient-based theories of brain function. PLoS Comput. Biol. 16(4) (2020) - [i1]Ehsan Abedi, Simone Carlo Surace, Jean-Pascal Pfister:
A Unification of Weighted and Unweighted Particle Filters. CoRR abs/2011.13804 (2020)
2010 – 2019
- 2019
- [j2]Simone Carlo Surace, Anna Kutschireiter, Jean-Pascal Pfister:
How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights. SIAM Rev. 61(1): 79-91 (2019) - [j1]Simone Carlo Surace, Jean-Pascal Pfister:
Online Maximum-Likelihood Estimation of the Parameters of Partially Observed Diffusion Processes. IEEE Trans. Autom. Control. 64(7): 2814-2829 (2019) - [c1]Ehsan Abedi, Simone Carlo Surace:
Gauge Freedom within the Class of Linear Feedback Particle Filters. CDC 2019: 666-671
Coauthor Index
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