Alexandre Hippert-Ferrer

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Research | Teaching | GitHub

Short bio

I am an associate professor (maître de conférences) at Université Gustave Eiffel. As a permanent member of the LASTIG lab, I do my research in the Strudel team. I mainly teach at École Nationale des Sciences Géographiques.

I was previously a post-doc at L2S (Université Paris-Saclay) working with Florent Bouchard and Frédéric Pascal. I also collaborate with Arnaud Breloy and Nabil El Korso (LEME, Université Paris Nanterre). I received the Ph.D degree from University Savoie Mont Blanc, Annecy, France, supervised by Philippe Bolon and Yajing Yan. You can watch here my defense at LISTIC in October 2020. Here is also my full curriculum.

Publications

Journals

A robust and flexible EM algorithm for mixtures of elliptical distributions with missing data
Mouret F., Hippert-Ferrer A., Pascal F., Tourneret J.-Y.
IEEE Transactions on Signal Processing 2022.
[pdf] [code]

Robust low-rank covariance matrix estimation with a general pattern of missing values.
Hippert-Ferrer A., El Korso M. N., Breloy A., Ginolhac G.
Signal Processing, 2022.
[pdf] [code]

Robust Mean and Covariance Matrix Estimation Under Heterogeneous Mixed-Effects Model.
Hippert-Ferrer A., El Korso M. N., Breloy A., Ginolhac G.
Signal Processing, 2021.
[pdf]

Spatio-temporal flling of missing data in remotely sensed displacement measurement time series.
Hippert-Ferrer A., Yan Y., Bolon P., Millan R.
IEEE Geoscience and Remote Sensing Letters, 2020.
[pdf]

EM-EOF: gap-flling in incomplete SAR displacement time series.
Hippert-Ferrer A., Yan Y., Bolon P.
IEEE Transactions on Geoscience and Remote Sensing, 2020.
[pdf] [code]

Book chapters

Robust estimation with missing values for elliptical distributions.
Hippert-Ferrer A. and El Korso M.N.
Springer 2024.
[pdf]

Selected conferences

Robust Low-Rank Correlation Fitting.
Phi, T.H., Hippert-Ferrer A., Bouchard F. and Breloy A.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024.
[pdf] [code]

Learning Graphical Factor Models with Riemannian Optimization.
Hippert-Ferrer A., Bouchard F., Mian A., Vayer T. and Breloy A.
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) 2023.
[pdf] [code]

Riemannian classification of EEG signals with missing values.
Hippert-Ferrer A., Mian A., Bouchard F., Pascal F.
European Signal Processing Conference (EUSIPCO) 2022.
[pdf] [code]

Covariance-Based Gap Filling in InSAR Displacement Mesurement Time Series.
Hippert-Ferrer A., Yan Y., Bolon P.
Fringe, 2021, symposium virtuel (oral).

Gap-filling based on EOF analysis of spatio-temporal covariance of satellite image derived displacement time series.
Hippert-Ferrer A., Yan Y., Bolon P.
IGARSS, 2020, Hawaii, USA (Online).
[pdf] [slides]

Gap-filling based on iterative EOF analysis of temporal covariance : application to InSAR displacement time series.
Hippert-Ferrer A., Yan Y., Bolon P.
IGARSS, 2019, Yokohama, Japan.
[pdf] [code] [slides]

Reconstruction de données manquantes par analyse en EOF : application aux séries temporelles de mesures de déplacement InSAR.
Hippert-Ferrer A., Yan Y., Bolon P.
GRETSI, août 2019, Lille, France.
[pdf]

Dissertations

Reconstruction de données manquantes dans des séries temporelles de déplacement par télédétection.
Thèse de doctorat
2020, Université Savoie Mont Blanc, LISTIC, Annecy.
[pdf] [slides]