Olivier Schwander

21
Documents

Publications

Publications

Deep Learning and Information Geometry for Drone Micro-Doppler Radar Classification

Daniel Brooks , Olivier Schwander , Frederic Barbaresco , Jean -Yves Schneider , Matthieu Cord
2020 IEEE Radar Conference (RadarConf20), Sep 2020, Florence, Italy. pp.1-6, ⟨10.1109/RadarConf2043947.2020.9266689⟩
Communication dans un congrès hal-04698070 v1
Image document

DEEP-SST-EDDIES: A Deep Learning framework to detect oceanic eddies in Sea Surface Temperature images

Evangelos Moschos , Olivier Schwander , Alexandre Stegner , Patrick Gallinari
ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, May 2020, Barcelona, Spain. pp.4307-4311, ⟨10.1109/ICASSP40776.2020.9053909⟩
Communication dans un congrès hal-02470051 v1
Image document

A Hermitian Positive Definite neural network for micro-Doppler complex covariance processing

Daniel A Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
International Radar Conference, Sep 2019, Toulon, France
Communication dans un congrès hal-02422456 v1
Image document

STOCHASTIC ADAPTIVE NEURAL ARCHITECTURE SEARCH FOR KEYWORD SPOTTING

Tom Véniat , Olivier Schwander , Ludovic Denoyer
ICASSP 2019 - International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom
Communication dans un congrès hal-02063698 v1
Image document

Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data

Daniel A Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. pp.3672-3676, ⟨10.1109/ICASSP.2019.8683056⟩
Communication dans un congrès hal-02290838 v1
Image document

Complex-valued neural networks for fully-temporal micro-Doppler classification

Daniel A Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
2019 20th International Radar Symposium (IRS), Jun 2019, Ulm, Germany. ⟨10.23919/IRS.2019.8768161⟩
Communication dans un congrès hal-02290835 v1
Image document

Riemannian batch normalization for SPD neural networks

Daniel A Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
Thirty-third Annual Conference on Neural Information Processing Systems., Dec 2019, Vancouver, Canada
Communication dans un congrès hal-02422458 v1
Image document

Second-order networks in PyTorch

Daniel Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
GSI 2019 - 4th International Conference on Geometric Science of Information, Aug 2019, Toulouse, France. pp.751-758, ⟨10.1007/978-3-030-26980-7_78⟩
Communication dans un congrès hal-02290841 v1
Image document

Temporal Deep Learning for Drone Micro-Doppler Classification

Daniel Brooks , Olivier Schwander , Frédéric Barbaresco , Jean-Yves Schneider , Matthieu Cord
IRS 2018 - 19th International Radar Symposium, Jun 2018, Bonn, Germany. ⟨10.23919/IRS.2018.8447963⟩
Communication dans un congrès hal-02290839 v1
Image document

Comix: Joint Estimation and Lightspeed Comparison of Mixture Models

Olivier Schwander , Stéphane Marchand-Maillet , Frank Nielsen
ICASSP 2016, 2016, Shanghai, China. ⟨10.1109/ICASSP.2016.7472117⟩
Communication dans un congrès hal-01367923 v1

Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models

Olivier Schwander , Franck Nielsen
Geometric Science of Information GSI 2015, Oct 2015, Palaiseau, France. pp.387-395, ⟨10.1007/978-3-319-25040-3_42⟩
Communication dans un congrès hal-01338652 v1
Image document

Aero-acoustics source separation with sparsity inducing priors in the frequency domain

Olivier Schwander , José Picheral , Nicolas Gac , Ali-Mohammad Djafari , Daniel Blacodon
34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering (MaxEnt'14), Sep 2014, Amboise, France. pp.422 - 431, ⟨10.1063/1.4906006⟩
Communication dans un congrès hal-01103779 v1

Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families

Olivier Schwander
Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2014, NAncy, France. pp.51-65, ⟨10.1007/978-3-662-44845-8_4⟩
Communication dans un congrès hal-04698079 v1

Fast Learning of Gamma Mixture Models with k-MLE

Olivier Schwander , Frank Nielsen
International Workshop on Similarity-Based Pattern Recognition, 2013, York (GB), United Kingdom. pp.235-249, ⟨10.1007/978-3-642-39140-8_16⟩
Communication dans un congrès istex hal-04698086 v1
Image document

Non-flat clustering whith alpha-divergences

Olivier Schwander , Frank Nielsen
ICASSP, May 2011, Prague, Czech Republic. pp.2100 - 2103, ⟨10.1109/ICASSP.2011.5946740⟩
Communication dans un congrès hal-00708634 v1

Bhattacharyya Clustering with Applications to Mixture Simplifications

Frank Nielsen , Sylvain Boltz , Olivier Schwander
2010 20th International Conference on Pattern Recognition (ICPR), Aug 2010, Istanbul, France. pp.1437-1440, ⟨10.1109/ICPR.2010.355⟩
Communication dans un congrès hal-04698084 v1