Olivier Schwander

23 papers A* 1B 2C 1Misc 6Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2023 J jnl
A hyperbolic approach for learning communities on graphs.
Data Min. Knowl. Discov.
Thomas Gerald, Hadi Zaatiti, Hatem Hajri, Nicolas Baskiotis, Olivier Schwander
2022 C conf
Real-Time Validation of Operational Ocean Models Via Eddy-Decting Deep Neural Networks.
IGARSS
Evangelos Moschos, Alexandre Stegner, Briac Le Vu, Olivier Schwander
2020 J jnl
Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Evangelos Moschos, Alexandre Stegner, Olivier Schwander, Patrick Gallinari
2020 Misc conf
Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images.
ICASSP
Evangelos Moschos, Olivier Schwander, Alexandre Stegner, Patrick Gallinari
2019 Misc conf
Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data.
ICASSP
Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord
2019 A* conf
Riemannian batch normalization for SPD neural networks.
NeurIPS
Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord
2019 J jnl
Riemannian batch normalization for SPD neural networks.
CoRR
Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord
2019 — conf
Second-Order Networks in PyTorch.
GSI
Daniel A. Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord
2019 Misc conf
Stochastic Adaptive Neural Architecture Search for Keyword Spotting.
ICASSP
Tom Véniat, Olivier Schwander, Ludovic Denoyer
2018 J jnl
Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification.
Appl. Soft Comput.
Alejandro Lopez Rincon, Alberto Paolo Tonda, Mohamed Elati, Olivier Schwander, Benjamin Piwowarski, Patrick Gallinari
2018 — conf
Exploring deep vision models for acoustic scene classification.
DCASE
Octave Mariotti, Matthieu Cord, Olivier Schwander
2018 J jnl
Stochastic Adaptive Neural Architecture Search for Keyword Spotting.
CoRR
Tom Véniat, Olivier Schwander, Ludovic Denoyer
2016 Misc conf
Comix: Joint estimation and lightspeed comparison of mixture models.
ICASSP
Olivier Schwander, Stéphane Marchand-Maillet, Frank Nielsen
2015 — conf
Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models.
GSI
Olivier Schwander, Frank Nielsen
2014 — conf
Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families.
ECML/PKDD (3)
Olivier Schwander
2013 — conf
Fast Learning of Gamma Mixture Models with k-MLE.
SIMBAD
Olivier Schwander, Frank Nielsen
2013 — —
Méthodes de géométrie de l'information pour les modèles de mélange. (Information-geometric methods for mixture models).
Olivier Schwander
2012 J jnl
Evaluating Mixture Models for Building RNA Knowledge-Based Potentials.
J. Bioinform. Comput. Biol.
Adelene Y. L. Sim, Olivier Schwander, Michael Levitt, Julie Bernauer
2012 Misc conf
Model centroids for the simplification of Kernel Density estimators.
ICASSP
Olivier Schwander, Frank Nielsen
2012 B conf
k-MLE for mixtures of generalized Gaussians.
ICPR
Olivier Schwander, Aurelien J. Schutz, Frank Nielsen, Yannick Berthoumieu
2011 Misc conf
Non-flat clustering with alpha-divergences.
ICASSP
Olivier Schwander, Frank Nielsen
2010 B conf
Bhattacharyya Clustering with Applications to Mixture Simplifications.
ICPR
Frank Nielsen, Sylvain Boltz, Olivier Schwander
2010 — conf
Reranking with Contextual Dissimilarity Measures from Representational Bregman k-Means.
VISAPP (1)
Olivier Schwander, Frank Nielsen