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Learning with infinitely many features

 Alain Rakotomamonjy , Rémi Flamary , Florian Yger
Machine Learning, 2013, 91 (1), pp.43-66
Article dans une revue hal-00880945v1
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ell_p-\ell_q penalty for sparse linear and sparse multiple kernel multi-task learning,

 Alain Rakotomamonjy , Remi Flamary , Gilles Gasso , Stéphane Canu
IEEE Transactions on Neural Networks, 2011, 22 (8), pp.1307-1320
Article dans une revue hal-00509608v1
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ell_p-norm Multiple Kernel Learning with Low-Rank Kernels

 Alain Rakotomamonjy , Sukalpa Chanda
2014
Pré-publication, Document de travail hal-00820356v3
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Histogram of gradients of Time-Frequency Representations for Audio scene detection

 Alain Rakotomamonjy , Gilles Gasso
IEEE/ACM Transactions on Audio, Speech and Language Processing, 2015, 23 (1), pp.142-153. ⟨10.1109/TASLP.2014.2375575⟩
Article dans une revue hal-00951990v6
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Online multimodal dictionary learning

 Abraham Traoré , Maxime Berar , Alain Rakotomamonjy
Neurocomputing, 2019, 368 (7), pp.163-179. ⟨10.1016/j.neucom.2019.08.053⟩
Article dans une revue hal-01850923v5
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Functional Regularized Least Squares Classi cation with Operator-valued Kernels

 Hachem Kadri , Asma Rabaoui , Philippe Preux , Emmanuel Duflos , Alain Rakotomamonjy
28th International Conference on Machine Learning (ICML), Jun 2011, Seattle, United States. pp.993--1000
Communication dans un congrès hal-00772406v1
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Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences

 Alain Rakotomamonjy , Mokhtar Z. Alaya , Maxime Berar , Gilles Gasso
2021
Pré-publication, Document de travail hal-03386542v1
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Optimal transport for Domain adaptation

 Nicolas Courty , Rémi Flamary , Alain Rakotomamonjy , Devis Tuia
NIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014, Montréal, Canada
Communication dans un congrès hal-01103073v1
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sw-SVM : sensor weighting Support Vector Machines for EEG-based Brain-Computer Interfaces

 Nisrine Jrad , Marco Congedo , Ronald Phlypo , Sandra Rousseau , Rémi Flamary , et al.
Journal of Neural Engineering, 2011, 8 (5), pp.056004. ⟨10.1088/1741-2560/8/5/056004⟩
Article dans une revue hal-00617810v1
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Large Margin Filtering

 Rémi Flamary , Devis Tuia , Benjamin Labbé , Gustavo Camps-Valls , Alain Rakotomamonjy
IEEE Transactions on Signal Processing, 2012, 60 (2), pp.648 - 659. ⟨10.1109/TSP.2011.2173685⟩
Article dans une revue hal-00528917v2
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Continuous PDE Dynamics Forecasting with Implicit Neural Representations

 Yuan Yin , Matthieu Kirchmeyer , Jean-Yves Franceschi , Alain Rakotomamonjy , Patrick Gallinari
The Eleventh International Conference on Learning Representations, International Conference on Representation Learning, May 2023, Kigali, Rwanda
Communication dans un congrès hal-03792179v2
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Décomposition en ligne de tenseurs

 Abraham Traoré , Maxime Berar , Alain Rakotomamonjy
Conference sur l'apprentissage statistique, Jun 2018, Rouen, France
Communication dans un congrès hal-01811447v1
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Les interfaces Cerveau-Machine pour la palliation du handicap moteur sévère

 Marie-Hélène Bekaert , Claudine Botte-Lecocq , François Cabestaing , Alain Rakotomamonjy
Sciences et Technologies pour le Handicap, 2009, 3 (1), pp.95-121. ⟨10.3166/sth.3.95-121⟩
Article dans une revue hal-00521052v1

Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images

 Alain Rakotomamonjy , Caroline Petitjean , Mathieu Salaün , Luc Thiberville
Artificial Intelligence in Medicine, 2014, 61 (2), pp.105-18. ⟨10.1016/j.artmed.2014.05.003⟩
Article dans une revue hal-01142663v1
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Dissimilarity Measure Machines

 Alain Rakotomamonjy , Abraham Traoré , Maxime Berar , Rémi Flamary , Nicolas Courty , et al.
2018
Pré-publication, Document de travail hal-01717940v2
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Mixed-norm Regularization for Brain Decoding

 Rémi Flamary , Nisrine Jrad , Ronald Phlypo , Marco Congedo , Alain Rakotomamonjy
Computational and Mathematical Methods in Medicine, 2014, 2014, pp.ID 317056. ⟨10.1155/2014/317056⟩
Article dans une revue hal-00708243v2
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Filter bank learning for signal classification

 Maxime Sangnier , Jérôme Gauthier , A. Rakotomamonjy
Signal Processing, 2015, 113, pp.124 - 137. ⟨10.1016/j.sigpro.2014.12.028⟩
Article dans une revue cea-01865050v1
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Kernel learning as minimization of the single validation estimate

 Maxime Sangnier , Jérôme Gauthier , A. Rakotomamonjy
2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep 2014, Reims, France. pp.6958855, ⟨10.1109/MLSP.2014.6958855⟩
Communication dans un congrès cea-01830640v1
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Multiple Operator-valued Kernel Learning

 Hachem Kadri , Alain Rakotomamonjy , Francis Bach , Philippe Preux
Neural Information Processing Systems (NIPS), Dec 2012, Lake Tahoe, United States
Communication dans un congrès hal-00677012v2

SVM with a reject option

 Yves Grandvalet , Alain Rakotomamonjy , Joseph Keshet , Stephane Canu
NIPS, 2008, Canada. pp.1-8
Communication dans un congrès hal-00439487v1
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Singleshot : a scalable Tucker tensor decomposition

 Abraham Traoré , Maxime Berar , Alain Rakotomamonjy
Advances in Neural Information Processing Systems, Dec 2019, Vancouver, Canada
Communication dans un congrès hal-02288245v2

BCI Competition III : Dataset II - Ensemble of SVMs for BCI P300 speller

 Alain Rakotomamonjy , Vincent Guigue
IEEE Transactions on Biomedical Engineering, 2008, 55 (3), pp.1147-1154
Article dans une revue hal-00439462v1
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Mining Shock Graphs with Kernels

 Frédéric Suard , Alain Rakotomamonjy , Abdelaziz Bensrhair
2006
Pré-publication, Document de travail hal-00121988v1
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Importance sampling strategy for non-convex randomized block-coordinate descent

 Rémi Flamary , Alain Rakotomamonjy , Gilles Gasso
IEEE INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, Dec 2015, Cancun, Mexico. ⟨10.1109/CAMSAP.2015.7383796⟩
Communication dans un congrès hal-01336588v1
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Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression

 Alain Rakotomamonjy , Rémi Flamary , Gilles Gasso , Joseph Salmon
International Conference on Artificial Intelligence and Statistics, 2022
Proceedings/Recueil des communications hal-02875560v4
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Screening Sinkhorn Algorithm for Regularized Optimal Transport

 Mokhtar Z. Alaya , Maxime Berar , Gilles Gasso , Alain Rakotomamonjy
Advances in Neural Information Processing Systems, 2019, Vancouver, Canada
Communication dans un congrès hal-02142661v3
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Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux

 Rémi Flamary , Benjamin Labbé , Alain Rakotomamonjy
Conférence Francophone sur l'Apprentissage Automatique, May 2010, Clermont Ferrand, France. 12p
Communication dans un congrès hal-00497296v1
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Decoding finger movements from ECoG signals using switching linear models

 Rémi Flamary , Alain Rakotomamonjy
Frontiers in Neuroscience, 2012, 6 (29), ⟨10.3389/fnins.2012.00029⟩
Article dans une revue hal-00671478v1
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Continuous PDE Dynamics Forecasting with Implicit Neural Representations

 Yuan Yin , Matthieu Kirchmeyer , Jean-Yves Franceschi , Alain Rakotomamonjy , Patrick Gallinari
The Eleventh International Conference on Learning Representations, May 2023, Kigali, Rwanda.
Poster de conférence hal-04081163v1
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Wasserstein Discriminant Analysis

 Rémi Flamary , Marco Cuturi , Nicolas Courty , Alain Rakotomamonjy
Machine Learning, 2018, 107 (12), pp.1923-1945. ⟨10.1007/s10994-018-5717-1⟩
Article dans une revue hal-01377528v1
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