Gilles Gasso

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 49

Top Topics

Object Detection

Scene Classification

Regularized Regression

Palmprint Recognition

Top Venues

Publications

Corentin Bunel, Maxime Guériau, Alaa Daoud, Samia Ainouz, Gilles Gasso
Addressing Open-set Object Detection for Autonomous Driving perception: A focus on road objects. IV (2024)
Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso
Gaussian-Smoothed Sliced Probability Divergences. CoRR (2024)
Benjamin Deguerre, Clément Chatelain, Gilles Gasso
End-to-End Traffic Flow Rate Estimation From MPEG4 part-2 Compressed Video Streams. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS (2023)
Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR (2023)
Marwa Kechaou, Mokhtar Z. Alaya, Romain Hérault, Gilles Gasso
Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples. CoRR (2023)
Jordan Frécon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo
Bregman Neural Networks. ICML (2022)
Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu
Physically-admissible polarimetric data augmentation for road-scene analysis. CoRR (2022)
Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu
Physically-admissible polarimetric data augmentation for road-scene analysis. Comput. Vis. Image Underst. 222 (2022)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty
Optimal transport for conditional domain matching and label shift. Mach. Learn. 111 (5) (2022)
Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso
Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach. Comput. Biol. Medicine 143 (2022)
Komi Midzodzi Pekpe, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C. Guinhouya
From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19. Appl. Intell. 52 (1) (2022)
Mohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso
Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach. DCASE (2022)
Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. AISTATS (2022)
Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy
Theoretical guarantees for bridging metric measure embedding and optimal transport. Neurocomputing 468 (2022)
Michel Olvera, Emmanuel Vincent, Gilles Gasso
On The Impact of Normalization Strategies in Unsupervised Adversarial Domain Adaptation for Acoustic Scene Classification. ICASSP (2022)
Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR (2021)
Komi Midzodzi Pékpé, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C. Guinhouya
From SIR to SEAIRD: a novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19. CoRR (2021)
Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS (2021)
Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences. CoRR (2021)
Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy
Distributional Sliced Embedding Discrepancy for Incomparable Distributions. CoRR (2021)
Anna Aniszewska-Stepien, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso
Learning from Partially Labeled Sequences for Behavioral Signal Annotation. MLSA@PKDD/ECML (2020)
Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso
Open Set Domain Adaptation using Optimal Transport. CoRR (2020)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon
Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression. CoRR (2020)
Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion. CoRR (2020)
Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso
Open Set Domain Adaptation Using Optimal Transport. ECML/PKDD (1) (2020)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty
Match and Reweight Strategy for Generalized Target Shift. CoRR (2020)
Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso
Foreground-Background Ambient Sound Scene Separation. EUSIPCO (2020)
Benjamin Deguerre, Clément Chatelain, Gilles Gasso
Object Detection in the DCT Domain: is Luminance the Solution? ICPR (2020)
Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso
Foreground-Background Ambient Sound Scene Separation. CoRR (2020)
Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
Partial Optimal Tranport with applications on Positive-Unlabeled Learning. NeurIPS (2020)
Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy
Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport. CoRR (2020)
Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. CoRR (2020)
Benjamin Deguerre, Clément Chatelain, Gilles Gasso
Object Detection in the DCT Domain: is Luminance the Solution? CoRR (2020)
Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
Pixel-wise conditioned generative adversarial networks for image synthesis and completion. Neurocomputing 416 (2020)
Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
Screening Sinkhorn Algorithm for Regularized Optimal Transport. NeurIPS (2019)
Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon
Screening Rules for Lasso with Non-Convex Sparse Regularizers. CoRR (2019)
Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
Pixel-wise Conditioning of Generative Adversarial Networks. CoRR (2019)
Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy
Screening Sinkhorn Algorithm for Regularized Optimal Transport. CoRR (2019)
Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. CoRR (2019)
Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques
Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible? Comput. Geosci. 133 (2019)
Imad Rida, Romain Hérault, Gian Luca Marcialis, Gilles Gasso
Palmprint recognition with an efficient data driven ensemble classifier. Pattern Recognit. Lett. 126 (2019)
Benjamin Deguerre, Clément Chatelain, Gilles Gasso
Fast object detection in compressed JPEG Images. CoRR (2019)
Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon
Screening rules for Lasso with non-convex Sparse Regularizers. ICML (2019)
Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
Pixel-wise Conditioning of Generative Adversarial Networks. ESANN (2019)
Benjamin Deguerre, Clément Chatelain, Gilles Gasso
Fast object detection in compressed JPEG Images. ITSC (2019)
Imad Rida, Romain Hérault, Gilles Gasso
An efficient supervised dictionary learning method for audio signal recognition. CoRR (2018)
Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso
Importance sampling strategy for non-convex randomized block-coordinate descent. CoRR (2016)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso
DC Proximal Newton for Nonconvex Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 27 (3) (2016)
Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso
Importance sampling strategy for non-convex randomized block-coordinate descent. CAMSAP (2015)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso
DC Proximal Newton for Non-Convex Optimization Problems. CoRR (2015)
Alain Rakotomamonjy, Gilles Gasso
Histogram of gradients of Time-Frequency Representations for Audio scene detection. CoRR (2015)
Alain Rakotomamonjy, Gilles Gasso
Histogram of Gradients of Time-Frequency Representations for Audio Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23 (1) (2015)
Imad Rida, Romain Hérault, Gilles Gasso
Supervised Music Chord Recognition. ICMLA (2014)
Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stéphane Canu
Emotional Influence on SSVEP Based BCI. ACII (2013)
Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
Oblique principal subspace tracking on manifold. ICASSP (2012)
Xilan Tian, Gilles Gasso, Stéphane Canu
A multiple kernel framework for inductive semi-supervised SVM learning. Neurocomputing 90 (2012)
Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. ICML (2012)
Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
A supervised strategy for deep kernel machine. ESANN (2011)
Xilan Tian, Gilles Gasso, Stéphane Canu
A Multi-kernel Framework for Inductive Semi-supervised Learning. ESANN (2011)
Gilles Gasso, Aristidis Pappaioannou, Marina Spivak, Léon Bottou
Batch and online learning algorithms for nonconvex neyman-pearson classification. ACM Trans. Intell. Syst. Technol. 2 (3) (2011)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu
Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning. IEEE Trans. Neural Networks 22 (8) (2011)
Gilles Gasso, Alain Rakotomamonjy, Stéphane Canu
Recovering sparse signals with a certain family of nonconvex penalties and DC programming. IEEE Trans. Signal Process. 57 (12) (2009)
Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu
Regularization path for Ranking SVM. ESANN (2008)
Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
Sparsity regularization path for semi-supervised SVM. ICMLA (2007)
Gaëlle Loosli, Gilles Gasso, Stéphane Canu
-SVR. ISNN (3) (2007)
Karina Zapien Arreola, Gilles Gasso, Stéphane Canu
Estimation of tangent planes for neighborhood graph correction. ESANN (2007)
Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
Smoothness and sparsity tuning for Semi-Supervised SVM. NATO ASI Mining Massive Data Sets for Security (2007)
Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
Computing and stopping the solution paths for $\nu$-SVR. ESANN (2007)