Olivier Schwander

Publications

Article dans une revue (4)

A hyperbolic approach for learning communities on graphs Thomas Gerald,Hadi Zaatiti,Hatem Hajri,Nicolas Baskiotis,Olivier Schwander Data Mining and Knowledge Discovery, 2023, 37, pp.1090-1124. ⟨10.1007/s10618-022-00902-8⟩ Article dans une revue hal-04022426v1
Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage Evangelos Moschos,Alexandre Stegner,Olivier Schwander,Patrick Gallinari IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, pp.3437-3447. ⟨10.1109/JSTARS.2020.3001830⟩ Article dans une revue hal-03028674v1
Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification Alejandro Lopez-Rincon,Alberto Tonda,Mohamed Elati,Olivier Schwander,Benjamin Piwowarskiet al. Applied Soft Computing, 2018, 65, pp.91 - 100. ⟨10.1016/j.asoc.2017.12.036⟩ Article dans une revue hal-01700622v1
Evaluating mixture models for building RNA knowledge-based potentials. Adelene y L Sim,Olivier Schwander,Michael Levitt,Julie Bernauer Journal of Bioinformatics and Computational Biology, 2012, 10 (2), pp.1241010. ⟨10.1142/S0219720012410107⟩ Article dans une revue hal-00757761v1

Communication dans un congrès (16)

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-04698070v1
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-02470051v1
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-02422458v1
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-02290841v1
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-02290835v1
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-02290838v1
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-02422456v1
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-02063698v1
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-02290839v1
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-01367923v1
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-01338652v1
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-04698079v1
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-01103779v1
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-04698086v1
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-00708634v1
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-04698084v1

Thèse (1)

Méthodes de géométrie de l'information pour les modèles de mélange Olivier Schwander Apprentissage [cs.LG]. Ecole Polytechnique X, 2013. Français. ⟨NNT : ⟩ Thèse pastel-00931722v1