Gilles Gasso

According to our database, Gilles Gasso authored at least 54 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples.

Marwa Kechaou, Mokhtar Z. Alaya, Romain Hérault, Gilles Gasso

CoRR, 2023

Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics.

Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty

CoRR, 2023

Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics.

Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Optimal transport for conditional domain matching and label shift.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty

Mach. Learn., 2022

Theoretical guarantees for bridging metric measure embedding and optimal transport.

Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy

Neurocomputing, 2022

Physically-admissible polarimetric data augmentation for road-scene analysis.

Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu

Comput. Vis. Image Underst., 2022

Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach.

Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso

Comput. Biol. Medicine, 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.

Komi Midzodzi Pekpe, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C. Guinhouya

Appl. Intell., 2022

Bregman Neural Networks.

Jordan Frécon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo

Proceedings of the International Conference on Machine Learning, 2022

On The Impact of Normalization Strategies in Unsupervised Adversarial Domain Adaptation for Acoustic Scene Classification.

Michel Olvera, Emmanuel Vincent, Gilles Gasso

Proceedings of the IEEE International Conference on Acoustics, 2022

Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach.

Mohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers.

Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences.

Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso

CoRR, 2021

Distributional Sliced Embedding Discrepancy for Incomparable Distributions.

Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy

CoRR, 2021

Unbalanced Optimal Transport through Non-negative Penalized Linear Regression.

Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Pixel-wise conditioned generative adversarial networks for image synthesis and completion.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso

Neurocomputing, 2020

Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon

CoRR, 2020

Match and Reweight Strategy for Generalized Target Shift.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty

CoRR, 2020

Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport.

Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy

CoRR, 2020

Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning.

Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso

CoRR, 2020

Open Set Domain Adaptation Using Optimal Transport.

Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Learning from Partially Labeled Sequences for Behavioral Signal Annotation.

Anna Aniszewska-Stepien, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2020

Partial Optimal Tranport with applications on Positive-Unlabeled Learning.

Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Object Detection in the DCT Domain: is Luminance the Solution?

Benjamin Deguerre, Clément Chatelain, Gilles Gasso

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Foreground-Background Ambient Sound Scene Separation.

Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Palmprint recognition with an efficient data driven ensemble classifier.

Imad Rida, Romain Hérault, Gian Luca Marcialis, Gilles Gasso

Pattern Recognit. Lett., 2019

Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?

Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques

Comput. Geosci., 2019

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso

CoRR, 2019

Screening Sinkhorn Algorithm for Regularized Optimal Transport.

Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Fast object detection in compressed JPEG Images.

Benjamin Deguerre, Clément Chatelain, Gilles Gasso

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Screening rules for Lasso with non-convex Sparse Regularizers.

Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon

Proceedings of the 36th International Conference on Machine Learning, 2019

Pixel-wise Conditioning of Generative Adversarial Networks.

Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

An efficient supervised dictionary learning method for audio signal recognition.

Imad Rida, Romain Hérault, Gilles Gasso

CoRR, 2018

2016

DC Proximal Newton for Nonconvex Optimization Problems.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso

IEEE Trans. Neural Networks Learn. Syst., 2016

2015

Histogram of Gradients of Time-Frequency Representations for Audio Scene Classification.

Alain Rakotomamonjy, Gilles Gasso

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Histogram of gradients of Time-Frequency Representations for Audio scene detection.

Alain Rakotomamonjy, Gilles Gasso

CoRR, 2015

DC Proximal Newton for Non-Convex Optimization Problems.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso

CoRR, 2015

Importance sampling strategy for non-convex randomized block-coordinate descent.

Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Supervised Music Chord Recognition.

Imad Rida, Romain Hérault, Gilles Gasso

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013

Emotional Influence on SSVEP Based BCI.

Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stéphane Canu

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2012

A multiple kernel framework for inductive semi-supervised SVM learning.

Xilan Tian, Gilles Gasso, Stéphane Canu

Neurocomputing, 2012

Adaptive Canonical Correlation Analysis Based On Matrix Manifolds.

Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy

Proceedings of the 29th International Conference on Machine Learning, 2012

Oblique principal subspace tracking on manifold.

Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

ell_p-ell_q Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu

IEEE Trans. Neural Networks, 2011

Batch and online learning algorithms for nonconvex neyman-pearson classification.

Gilles Gasso, Aristidis Pappaioannou, Marina Spivak, Léon Bottou

ACM Trans. Intell. Syst. Technol., 2011

A supervised strategy for deep kernel machine.

Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

A Multi-kernel Framework for Inductive Semi-supervised Learning.

Xilan Tian, Gilles Gasso, Stéphane Canu

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2009

Recovering sparse signals with a certain family of nonconvex penalties and DC programming.

Gilles Gasso, Alain Rakotomamonjy, Stéphane Canu

IEEE Trans. Signal Process., 2009

2008

Regularization path for Ranking SVM.

Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Smoothness and sparsity tuning for Semi-Supervised SVM.

Gilles Gasso, Karina Zapien Arreola, Stéphane Canu

Proceedings of the Mining Massive Data Sets for Security, 2007

Regularization Paths for <i>nu</i> -SVM and <i>nu</i> -SVR.

Gaëlle Loosli, Gilles Gasso, Stéphane Canu

Proceedings of the Advances in Neural Networks, 2007

Sparsity regularization path for semi-supervised SVM.

Gilles Gasso, Karina Zapien Arreola, Stéphane Canu

Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Computing and stopping the solution paths for $\nu$-SVR.

Gilles Gasso, Karina Zapien Arreola, Stéphane Canu

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Estimation of tangent planes for neighborhood graph correction.

Karina Zapien Arreola, Gilles Gasso, Stéphane Canu

Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007