Antoine Collas

PhD student
SONDRA, CentraleSupélec
Paris-Saclay University

Mail: antoine.collas@centralesupelec.fr
You can reach me on Github, LinkedIn and Twitter !



SHORT BIO

I am a third year PhD student at the SONDRA laboratory at CentraleSupélec, University of Paris-Saclay.
My supervisors by Jean-Philippe Ovarlez, Guillaume Ginolhac, Chengfang Ren and Arnaud Breloy.

My research focuses on the estimation of parameters, lying on Riemannian manifolds, of robust and high-dimensional statistical models. I also study the optimal performance achievable by these algorithms using intrinsic Cramér-Rao bounds. I apply these methods as well as Riemannian clustering/classification algorithms on remote sensing images (e.g. SAR and hyperspectral data).

I previously graduated from University of Technology of Compiègne with a major in Computer Science and a minor in Mathematical modeling.

My curriculum vitae - résumé - is available here: short version, long version (updated in January 2022).


RESEARCH INTERESTS
PUBLICATIONS (Google scholar)

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Journals

Riemannian optimization for non-centered mixture of scaled Gaussian distributions
A. Collas, A. Breloy, C. Ren, G. Ginolhac, J.-P. Ovarlez
2022 - Submitted to IEEE Transactions on Signal Processing
[PDF][Github]

Probabilistic PCA from Heteroscedastic Signals: Geometric Framework and Application to Clustering
A. Collas, F. Bouchard, A. Breloy, G. Ginolhac, C. Ren, J.-P. Ovarlez
2021 - IEEE Transactions on Signal Processing
[PDF][DOI]

Robust Low-Rank Change Detection for Multivariate SAR Image Time Series
A. Mian, A. Collas, A. Breloy, G. Ginolhac, J.-P. Ovarlez
2020 - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
[PDF][DOI]

Conferences

Apprentissage robuste de distance par géométrie riemannienne
A. Collas, A. Breloy, G. Ginolhac, C. Ren, J.-P. Ovarlez
2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images GRETSI - Nancy, France
[PDF][slides]

Robust Geometric Metric Learning
A. Collas, A. Breloy, G. Ginolhac, C. Ren, J.-P. Ovarlez
2022 - 30th European Signal Processing Conference (EUSIPCO) - Belgrade, Serbia
Best student paper award
[PDF][Github][slides][poster]

On The Use of Geodesic Triangles Between Gaussian Distributions for Classification Problems
A. Collas, F. Bouchard, G. Ginolhac, A. Breloy, C. Ren, J.-P. Ovarlez
2022 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Singapore
[PDF][DOI][slides][poster]

A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization
A. Collas, F. Bouchard, A. Breloy, C. Ren, G. Ginolhac, J.-P. Ovarlez
2021 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Toronto, Canada
[PDF][DOI][slides][poster]


TALKS

Optimization and statistical learning using Riemannian geometry: application to remote sensing
2022 - DSO National Laboratories - Singapore
[slides]

Optimization and statistical learning using Riemannian geometry and application to remote sensing
2022 - Inria Saclay, Parietal team - Palaiseau, France
[slides]

Robust Clustering for Satellite Images Time-Series
2022 - ONERA, the French Aerospace Lab - Palaiseau, France
[slides]

Probabilistic PCA from Heteroscedastic Signals: Geometric Framework and Application to Clustering
2021 - Statistical Learning for Signal and Image Processing (SLSIP) Workshop. A German-Finnish-French Workshop - Rüdesheim am Rhein, Germany
[slides][website]

Riemannian Geometry to Robust Estimation Covariance matrices with Application to Machine Learning
2021 - LISTIC laboratory - Annecy, France
[slides]


TEACHING

Teaching assistant in signal processing. Graduate studies in Master E3A at Paris-Saclay University in 2020 - 2021. Topics covered: Fourier analysis, linear regression, online estimation, stochastic process, statistical estimation ...