Research and publications

Riemannian geometry

Second order neural networks

• D. Brooks, O. Schwander, F. Barbaresco, J.-Y. Schneider, M. Cord « Deep Learning and Information Geometry for Drone Micro-Doppler Radar Classification » Radar 2020 - IEEE International Radar Conference
• D. A. Brooks, O. Schwander, F. Barbaresco, J.-Y. Schneider, M. Cord « Complex-valued neural networks for fully-temporal micro-Doppler classification » IRS 2019 - 20th International Radar Symposium
• D. A. Brooks, O. Schwander, F. Barbaresco, J.-Y. Schneider, M. Cord « A Hermitian Positive Definite neural network for micro-Doppler complex covariance processing » Radar 2019 - IEEE International Radar Conference
• D. A. Brooks, O. Schwander, F. Barbaresco, J.-Y. Schneider, M. Cord « Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data » ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing
• D. A. Brooks, O. Schwander, F. Barbaresco, J.-Y. Schneider, M. Cord « Riemannian batch normalization for SPD neural networks » in NeurIPS 2019 - Thirty-third Annual Conference on Neural Information Processing Systems
• D. Brooks, O. Schwander, F. Barbaresco, J.-Y. Schneider, M. Cord « Second-order networks in PyTorch » GSI 2019 - 4th International Conference on Geometric Science of Information
• D. Brooks, O. Schwander, F. Barbaresco, J.-Y. Schneider, M. Cord « Temporal Deep Learning for Drone Micro-Doppler Classification » IRS 2018 - 19th International Radar Symposium

Hyperbolic embeddings

• T. Gerald, H. Zaatiti, H. Hajri, N. Baskiotis, O. Schwander « A hyperbolic approach for learning communities on graphs » Data Mining and Knowledge Discovery, vol. 37, p. 1090‑1124, mai 2023, doi: 10.1007/s10618-022-00902-8.

Physical data

• E. Moschos, A. Stegner, B. Le Vu and O. Schwander « Real-Time Validation of Operational Ocean Models Via Eddy-Decting Deep Neural Networks » IGARSS 2022 - International Geoscience and Remote Sensing Symposium
• E. Moschos, A. Stegner, O. Schwander, P. Gallinari « Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage » IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2020
• E. Moschos, O. Schwander, A. Stegner, P. Gallinari « DEEP-SST-EDDIES: A Deep Learning framework to detect oceanic eddies in Sea Surface Temperature images » ICASSP 2020 - 45th International Conference on Acoustics, Speech, Signal Processing

Signal processing

• T. Véniat, O. Schwander, L. Denoyer « Stochastic Adaptive Neural Architecture Search for Keyword Spotting » in ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech, Signal Processing

Misc

• P. Gallinari, Y. Maday, M. Sangnier, O. Schwander, T. Taddei « Reduced basis’ acquisition by a learning process for rapid on-line approximation of solution to PDE’s: Laminar Flow Past a Backstep » Archives of Computational Methods in Engineering 2018
• A. Lopez-Rincon, A. Tonda, M. Elati, O. Schwander, B. Piwowarski, P. Gallinari « Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification » Applied Soft Computing 2017
• O. Schwander « Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families » ECML-PKDD 2014
• O. Schwander, J. Picheral, N. Gac, A.-M. Djafari, D. Blacodon « Aero-acoustics source separation with sparsity inducing priors in the frequency domain » MaxEnt 2014 - 34th International Workshop on Bayesian Inference and Maximun Entropy Methods in Science and Engineering

Mixture models and information geometry

• O. Schwander, S. Marchand-Maillet, F. Nielsen « Comix: Joint Estimation and Lightspeed Comparison of Mixture Models » ICASSP 2016 - IEEE International Conference on Acoustics, Speech and Signal Processing
• O. Schwander and F. Nielsen « Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models » GSI 2015 - 2nd International Conference on Geometric Science of Information
• O. Schwander, F. Nielsen « Fast Learning of Gamma Mixture Models with k-MLE » - SIMBAD 2013 - International Workshop on Similarity-Based Pattern Recognition
• A. y L. Sim, O. Schwander, M. Levitt, J. Bernauer « Evaluating mixture models for building RNA knowledge-based potentials » Journal of Bioinformatics and Computational Biology - 2012
• O. Schwander and F. Nielsen « Non-flat clustering whith alpha-divergences » ICASSP 2011 - IEEE International Conference on Acoustics, Speech and Signal Processing
• F. Nielsen, S. Boltz, O. Schwander. « Bhattacharyya Clustering with Applications to Mixture Simplifications » ICIPR 2010 - 20th International Conference on Pattern Recognition