Olivier Schwander

Orcid: 0000-0003-0266-1585

According to our database1, Olivier Schwander authored at least 21 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A hyperbolic approach for learning communities on graphs.
Data Min. Knowl. Discov., May, 2023

2022
Real-Time Validation of Operational Ocean Models Via Eddy-Decting Deep Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020
Classification of Eddy Sea Surface Temperature Signatures Under Cloud Coverage.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Deep-SST-Eddies: A Deep Learning Framework to Detect Oceanic Eddies in Sea Surface Temperature Images.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Riemannian batch normalization for SPD neural networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stochastic Adaptive Neural Architecture Search for Keyword Spotting.
Proceedings of the IEEE International Conference on Acoustics, 2019

Exploring Complex Time-series Representations for Riemannian Machine Learning of Radar Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

Second-Order Networks in PyTorch.
Proceedings of the Geometric Science of Information - 4th International Conference, 2019

2018
Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification.
Appl. Soft Comput., 2018

Exploring deep vision models for acoustic scene classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018

2016
Comix: Joint estimation and lightspeed comparison of mixture models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Bag-of-Components: An Online Algorithm for Batch Learning of Mixture Models.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014
Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

2013
Méthodes de géométrie de l'information pour les modèles de mélange. (Information-geometric methods for mixture models).
PhD thesis, 2013

Fast Learning of Gamma Mixture Models with k-MLE.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

2012
Evaluating Mixture Models for Building RNA Knowledge-Based Potentials.
J. Bioinform. Comput. Biol., 2012

k-MLE for mixtures of generalized Gaussians.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Model centroids for the simplification of Kernel Density estimators.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Non-flat clustering with alpha-divergences.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Reranking with Contextual Dissimilarity Measures from Representational Bregman k-Means.
Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Bhattacharyya Clustering with Applications to Mixture Simplifications.
Proceedings of the 20th International Conference on Pattern Recognition, 2010


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