| 2022 | IGARSS | Real-Time Validation of Operational Ocean Models Via Eddy-Decting Deep Neural Networks. | Evangelos Moschos, Alexandre Stegner, Briac Le Vu, Olivier Schwander |
| 2020 | ICASSP | Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images. | Evangelos Moschos, Olivier Schwander, Alexandre Stegner, Patrick Gallinari |
| 2019 | ICASSP | Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data. | Daniel A. Brooks, Olivier Schwander, Frdric Barbaresco, Jean-Yves Schneider, Matthieu Cord |
| 2019 | ICASSP | Stochastic Adaptive Neural Architecture Search for Keyword Spotting. | Tom Vniat, Olivier Schwander, Ludovic Denoyer |
| 2016 | ICASSP | Comix: Joint estimation and lightspeed comparison of mixture models. | Olivier Schwander, Stphane Marchand-Maillet, Frank Nielsen |
| 2012 | ICASSP | Model centroids for the simplification of Kernel Density estimators. | Olivier Schwander, Frank Nielsen |
| 2012 | ICPR | k-MLE for mixtures of generalized Gaussians. | Olivier Schwander, Aurelien J. Schutz, Frank Nielsen, Yannick Berthoumieu |
| 2011 | ICASSP | Non-flat clustering with alpha-divergences. | Olivier Schwander, Frank Nielsen |
| 2010 | ICPR | Bhattacharyya Clustering with Applications to Mixture Simplifications. | Frank Nielsen, Sylvain Boltz, Olivier Schwander |