Publications

Jordan Frecon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo (2022). Bregman Neural Networks. Proceedings of the 39th International Conference on Machine Learning.

Alain Rakotomamonjy, Remi Flamary, Joseph Salmon, Gilles Gasso (2022). Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers . Proceedings of The 25th International Conference on Artificial Intelligence and Statistics.

Mokhtar Z Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy (2022). Theoretical guarantees for bridging metric measure embedding and optimal transport. Neurocomputing.

Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Meriaudeau, Stéphane Canu (2022). Physically-admissible polarimetric data augmentation for road-scene analysis. Computer Vision and Image Understanding.

Michel Olvera, Emmanuel Vincent, Gilles Gasso (2022). On the impact of normalization strategies in unsupervised adversarial domain adaptation for acoustic scene classification.. 47th IEEE International Conference on Acoustics, Speech and Signal Processing.

Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso (2022). Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach. Computers in Biology and Medicine.

K Midzodzi Pekpe, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C Guinhouya (2022). From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19. Applied Intelligence.

Laetitia Chapel, Remi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso (2021). Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. Advances in Neural Information Processing Systems.

Alain Rakotomamonjy, Remi Flamary, Gilles Gasso, M El Alaya, Maxime Berar, Nicolas Courty (2021). Optimal transport for conditional domain matching and label shift. Machine Learning.

Benjamin Deguerre, Clément Chatelain, Gilles Gasso (2021). Object Detection in the DCT Domain: is Luminance the Solution?. 2020 25th International Conference on Pattern Recognition (ICPR).

Michel Olvera, Emmanuel Vincent, Gilles Gasso (2021). Improving Sound Event Detection with Auxiliary Foreground-Background Classification and Domain Adaptation. DCASE 2021-6th Workshop on Detection and Classification of Acoustic Scenes and Events.

Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso (2021). Foreground-Background Ambient Sound Scene Separation. 2020 28th European Signal Processing Conference (EUSIPCO).

Jordan Frecon, Lucas Anquetil, Gilles Gasso, Stéphane Canu, France Saint-Etienne-du-Rouvray (2021). Adversarial Dictionary Learning. Proceedings of CAp.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso (2020). Pixel-wise conditioned generative adversarial networks for image synthesis and completion. Neurocomputing.

Laetitia Chapel, Mokhtar Z Alaya, Gilles Gasso (2020). Partial optimal tranport with applications on positive-unlabeled learning. Advances in Neural Information Processing Systems.

Marwa Kechaou, Romain Hérault, Mokhtar Z Alaya, Gilles Gasso (2020). Open Set Domain Adaptation using Optimal Transport. Joint European Conference on Machine Learning and Knowledge Discovery in Databases.

Nicolas Ballier, Stéphane Canu, Caroline Petitjean, Gilles Gasso, Carlos Balhana, Theodora Alexopoulou, Thomas Gaillat (2020). Machine learning for learner English: A plea for creating learner data challenges. International Journal of Learner Corpus Research.

Anna Aniszewska-Stepie\ŉ, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso (2020). Learning from Partially Labeled Sequences for Behavioral Signal Annotation. International Workshop on Machine Learning and Data Mining for Sports Analytics.

Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon (2019). Screening rules for Lasso with non-convex Sparse Regularizers. Proceedings of the 36th International Conference on Machine Learning.

Mokhtar Z Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy (2019). Screening sinkhorn algorithm for regularized optimal transport. Advances in Neural Information Processing Systems.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso (2019). Pixel-wise Conditioning of Generative Adversarial Networks. European Symposium on Artificial Neural Networks (ESANN).

Imad Rida, Romain Hérault, Gian Luca Marcialis, Gilles Gasso (2019). Palmprint recognition with an efficient data driven ensemble classifier. Pattern Recognition Letters.

Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques (2019). Gradient-based deterministic inversion of geophysical data with generative adversarial networks: is it feasible?. Computers & Geosciences.

Benjamin Deguerre, Clément Chatelain, Gilles Gasso (2019). Fast object detection in compressed jpeg images. 2019 ieee intelligent transportation systems conference (itsc).

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso (2018). Dilated spatial generative adversarial networks for ergodic image generation. Proceedings of CAp.

Alain Rakotomamonjy, Remi Flamary, Gilles Gasso (2016). Dc proximal newton for nonconvex optimization problems. IEEE transactions on neural networks and learning systems.

Remi Flamary, Alain Rakotomamonjy, Gilles Gasso (2015). Importance sampling strategy for non-convex randomized block-coordinate descent. Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015 IEEE 6th International Workshop on.

Rida Imad, Herault Romain, Gasso Gilles (2014). Supervised Music Chord Recognition. Proc. of 13th International Conference on Machine Learning and Applications (ICMLA).

Alain Rakotomamonjy, Gilles Gasso (2013). Histogram of Gradients of Time-Frequency Representations for Audio Scene Classification. IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events.

Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stéphane Canu (2013). Emotional influence on SSVEP based BCI. Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on.

Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy (2012). Oblique principal subspace tracking on manifold. Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on.

Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy (2012). Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. Proceedings of the 29th International Conference on Machine Learning (ICML-12).

Xilan Tian, Gilles Gasso, Stéphane Canu (2012). A multiple kernel framework for inductive semi-supervised SVM learning. Neurocomputing.

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Gilles Gasso, Aristidis Pappaioannou, Marina Spivak, Leon Bottou (2011). Batch and online learning algorithms for nonconvex neyman-pearson classification. ACM Trans. Intell. Syst. Technol..

F. Yger, M. Berar, G. Gasso, A. Rakotomamonjy (2011). A supervised strategy for deep kernel machine. Proc. of ESANN.

Xilan Tian, Gilles Gasso, Stéphane Canu (2011). A Multi-kernel Framework for Inductive Semi-supervised Learning.. Proc. of ESANN.

R. Flamary, A. Rakotomamonjy, G. Gasso, S. Canu (2009). SVM Multi-Task Learning and Non convex Sparsity Measure. Proc. of The Learning workshop (Snowbird).

R. Flamary, A. Rakotomamonjy, G. Gasso, S. Canu (2009). Selection de variables pour l'apprentissage simultanee de taches. Proc. of Conference en Apprentissage (CAP).

G. Gasso, A. Rakotomamonjy, S. Canu (2009). Recovering sparse signals with a certain family of non-convex penalties and DC programming. IEEE Transactions In Signal Processing.

G. Gasso, A. Rakotomamonjy, S. Canu (2008). Solving non-convex Lasso type problems with DC programming. Proc. of IEEE Workshop on Machine Learning for Signal Processing (MLSP).

G. Gasso, K. Zapien, S. Canu (2008). Smoothness and Sparsity Tuning for Semi-Supervised Learning. Mining Massive DataSets for Security.

K. Zapien, T. Gartner, G. Gasso, S. Canu (2008). Regularization path for ranking SVM. Proc. of ESANN.

G. Mallet, G. Gasso, S. Canu (2008). New methods for the identification of a stable subspace model for dynamical systems. Proc. of IEEE Workshop on Machine Learning for Signal Processing (MLSP).

K. Zapien, T. Gartner, G. Gasso, S. Canu (2008). Model Selection for Ranking SVM Using Regularization Path.. Proc. of Conférence en Apprentissage (CAP).

G. Gasso, K. Zapien, S. Canu (2008). Apprentissage semi supervise via un SVM parcimonieux : calcul du chemin de regularisation. Proc. of Conf. de Reconnaissance de Formes et Intelligence Artificielle.

G. Gasso, K. Zapien, S. Canu (2008). Apprentissage semi supervise via un SVM parcimonieux : calcul du chemin de regularisation. Revue I3 : Information - Interaction - Intelligence.

G. Gasso, K. Zapien, S. Canu (2007). Sparsity regularization path for Semi-Supervised SVM. Proc. of ICMLA.

G. Loosli, G. Gasso, S. Canu (2007). Regularization paths for Nu-SVM and Nu-SVR. Lecture Notes in Computer Science, Proc. of International Symposium in Neural Network.

K. Zapien, G. Gasso, S. Canu (2007). Estimation of tangent planes for neighborhood graph correction. Proc. of ESANN.

G. Gasso, K. Zapien, S. Canu (2007). Computing and stopping the solution paths for Nu-SVR. Proc. of ESANN.

G. Gasso, K. Zapien, S. Canu (2007). Chemins de regularisation pour Nu-SVR. Proc. of GRETSI.

K. Pekpe, G. Mourot, G. Gasso, J. Ragot (2004). Identification of switching systems using change detection technique in the subspace framework.. Proc. of 43rd IEEE Conference on Decision and Control (CDC).

K. Pekpe, G. Mourot, G. Gasso, J. Ragot (2004). Identification de systemes a commutations par une technique de detection de ruptures de modele dans le contexte des sous-espaces. Proc. of Conference Internationale Francophone d’Automatique (CIFA).

K. Pekpe, G. Gasso, G. Mourot, J. Ragot (2003). Subspace identification of switching model. Proc. of 13th IFAC Symposium on System Identification (SYSID'03).