Sara El Bouch

12 papers C 1Misc 2Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Filtering and machine learning on Riemannian manifolds and Lie groups.
Signal Process.
Samy Labsir, Sara El Bouch, Claudio J. Bordin, Marcelo G. S. Bruno
2026 J jnl
Recursive estimators and hybrid Cramér-Rao bounds for discrete-time Markovian dynamic systems.
Signal Process.
Sara El Bouch, Samy Labsir, Jérôme Galy, Jordi Vilà-Valls, Eric Chaumette
2025 J jnl
Cramér-Rao Bound for Lie Group Parameter Estimation With Euclidean Observations and Unknown Covariance Matrix.
IEEE Trans. Signal Process.
Samy Labsir, Sara El Bouch, Alexandre Renaux, Jordi Vilà-Valls, Eric Chaumette
2025 — conf
Multi-Head Architecture for Open-Set Anomaly Detection of Fast Radio Bursts.
CAMSAP
Benjamin Amblard, Sara El Bouch, Mauro Dalla Mura, André Ferrari, Cédric Richard
2025 Misc conf
New Insights into Lower Bound for Lie Groups and their Applications.
CISS
Sara El Bouch, Samy Labsir, Alexandre Renaux, Jordi Vilà-Valls, Eric Chaumette
2024 Misc conf
A Modified Cramér-Rao Bound for Discrete-Time Markovian Dynamic Systems.
ICASSP
Sara El Bouch, Jérôme Galy, Eric Chaumette, Jordi Vilà-Valls
2024 C conf
An Intrinsic Modified Cramér-Rao Bound on Lie Groups.
FUSION
Sara El Bouch, Samy Labsir, Alexandre Renaux, Jordi Vilà-Valls, Eric Chaumette
2024 — conf
Full Slepian-Bangs Formula for Fisher Information on Lie Groups.
IEEECONF
Sara El Bouch, Samy Labsir, Alexandre Renaux, Jordi Vilà-Valis, Eric Chaumette
2023 — conf
Joint Maximum a Posteriori - Maximum Likelihood Estimator for Linear Discrete- Time Systems.
CAMSAP
Sara El Bouch, Eric Chaumette, Jordi Vilà-Valls
2022 J jnl
A normality test for multivariate dependent samples.
Signal Process.
Sara El Bouch, Olivier J. J. Michel, Pierre Comon
2022 — conf
Multivariate Normality test for colored data.
EUSIPCO
Sara El Bouch, Olivier J. J. Michel, Pierre Comon
2022 — —
Multivariate normality test for time-series. (Un test de normalité pour les séries temporelles multivariées).
Sara El Bouch