Olivier Schwander

ORCID

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 13

Top Venues

École Polytechnique, Palaiseau, France (PHD)

Education History

École Polytechnique, Palaiseau, France

PHD

Publications

Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander
A hyperbolic approach for learning communities on graphs. Data Min. Knowl. Discov. 37 (3) (2023)
Evangelos Moschos, Alexandre Stegner, Briac Le Vu, Olivier Schwander
Real-Time Validation of Operational Ocean Models Via Eddy-Decting Deep Neural Networks. IGARSS (2022)
Evangelos Moschos, Alexandre Stegner, Olivier Schwander, Patrick Gallinari
Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Evangelos Moschos, Olivier Schwander, Alexandre Stegner, Patrick Gallinari
Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images. ICASSP (2020)
Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord
Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data. ICASSP (2019)
Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord
Second-Order Networks in PyTorch. GSI (2019)
Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord
Riemannian batch normalization for SPD neural networks. NeurIPS (2019)
Tom Véniat, Olivier Schwander, Ludovic Denoyer
Stochastic Adaptive Neural Architecture Search for Keyword Spotting. ICASSP (2019)
Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord
Riemannian batch normalization for SPD neural networks. CoRR (2019)
Octave Mariotti, Matthieu Cord, Olivier Schwander
Exploring deep vision models for acoustic scene classification. DCASE (2018)
Tom Véniat, Olivier Schwander, Ludovic Denoyer
Stochastic Adaptive Neural Architecture Search for Keyword Spotting. CoRR (2018)
Alejandro Lopez Rincon, Alberto Paolo Tonda, Mohamed Elati, Olivier Schwander, Benjamin Piwowarski, Patrick Gallinari
Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. Appl. Soft Comput. 65 (2018)
Olivier Schwander, Stéphane Marchand-Maillet, Frank Nielsen
Comix: Joint estimation and lightspeed comparison of mixture models. ICASSP (2016)
Olivier Schwander, Frank Nielsen
Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models. GSI (2015)
Olivier Schwander
Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families. ECML/PKDD (3) (2014)
Olivier Schwander, Frank Nielsen
Fast Learning of Gamma Mixture Models with k-MLE. SIMBAD (2013)
Adelene Y. L. Sim, Olivier Schwander, Michael Levitt, Julie Bernauer
Evaluating Mixture Models for Building RNA Knowledge-Based Potentials. J. Bioinform. Comput. Biol. 10 (2) (2012)
Olivier Schwander, Aurelien J. Schutz, Frank Nielsen, Yannick Berthoumieu
k-MLE for mixtures of generalized Gaussians. ICPR (2012)
Olivier Schwander, Frank Nielsen
Model centroids for the simplification of Kernel Density estimators. ICASSP (2012)
Olivier Schwander, Frank Nielsen
Non-flat clustering with alpha-divergences. ICASSP (2011)
Olivier Schwander, Frank Nielsen
Reranking with Contextual Dissimilarity Measures from Representational Bregman k-Means. VISAPP (1) (2010)
Frank Nielsen, Sylvain Boltz, Olivier Schwander
Bhattacharyya Clustering with Applications to Mixture Simplifications. ICPR (2010)

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Publication Activity (10 Years)

Top Topics

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Olivier Schwander