Estimation of tangent planes for neighborhood graph correction. - Karina Zapien Arreola; Gilles Gasso; Stéphane Canu (ESANN, 2007)

Computing and stopping the solution paths for $ nu$-SVR. - Gilles Gasso; Karina Zapien Arreola; Stéphane Canu (ESANN, 2007)

Sparsity regularization path for semi-supervised SVM. - Gilles Gasso; Karina Zapien Arreola; Stéphane Canu (ICMLA, 2007)

Regularization Paths for nu -SVM and nu -SVR. - Gaëlle Loosli; Gilles Gasso; Stéphane Canu (ISNN (3), 2007)

Smoothness and sparsity tuning for Semi-Supervised SVM. - Gilles Gasso; Karina Zapien Arreola; Stéphane Canu (NATO ASI Mining Massive Data Sets for Security, 2007)

Regularization path for Ranking SVM. - Karina Zapien Arreola; Thomas Gärtner 001; Gilles Gasso; Stéphane Canu (ESANN, 2008)

Recovering sparse signals with a certain family of nonconvex penalties and DC programming. - Gilles Gasso; Alain Rakotomamonjy; Stéphane Canu (IEEE Trans. Signal Process., 2009)

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

A supervised strategy for deep kernel machine. - Florian Yger; Maxime Berar; Gilles Gasso; Alain Rakotomamonjy (ESANN, 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)

ellp-ellq Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning. - Alain Rakotomamonjy; Rémi Flamary; Gilles Gasso; Stéphane Canu (IEEE Trans. Neural Networks, 2011)

Oblique principal subspace tracking on manifold. - Florian Yger; Maxime Berar; Gilles Gasso; Alain Rakotomamonjy (ICASSP, 2012)

Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. - Florian Yger; Maxime Berar; Gilles Gasso; Alain Rakotomamonjy (ICML, 2012)

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

Emotional Influence on SSVEP Based BCI. - Yachen Zhu; Xilan Tian; Guobing Wu; Gilles Gasso; Shangfei Wang; Stéphane Canu (ACII, 2013)

Supervised Music Chord Recognition. - Imad Rida; Romain Hérault; Gilles Gasso (ICMLA, 2014)

Importance sampling strategy for non-convex randomized block-coordinate descent. - Rémi Flamary; Alain Rakotomamonjy; Gilles Gasso (CAMSAP, 2015)

DC Proximal Newton for Non-Convex Optimization Problems. - Alain Rakotomamonjy; Rémi Flamary; Gilles Gasso (CoRR, 2015)

Histogram of gradients of Time-Frequency Representations for Audio scene detection. - Alain Rakotomamonjy; Gilles Gasso (CoRR, 2015)

Histogram of Gradients of Time-Frequency Representations for Audio Scene Classification. - Alain Rakotomamonjy; Gilles Gasso (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

DC Proximal Newton for Nonconvex Optimization Problems. - Alain Rakotomamonjy; Rémi Flamary; Gilles Gasso (IEEE Trans. Neural Networks Learn. Syst., 2016)

An efficient supervised dictionary learning method for audio signal recognition. - Imad Rida; Romain Hérault; Gilles Gasso (CoRR, 2018)

Pixel-wise Conditioning of Generative Adversarial Networks. - Cyprien Ruffino; Romain Hérault; Eric Laloy; Gilles Gasso (ESANN, 2019)

Screening rules for Lasso with non-convex Sparse Regularizers. - Alain Rakotomamonjy; Gilles Gasso; Joseph Salmon (ICML, 2019)

Fast object detection in compressed JPEG Images. - Benjamin Deguerre; Clément Chatelain 001; Gilles Gasso (ITSC, 2019)

Screening Sinkhorn Algorithm for Regularized Optimal Transport. - Mokhtar Z. Alaya; Maxime Berar; Gilles Gasso; Alain Rakotomamonjy (NeurIPS, 2019)

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. - Cyprien Ruffino; Romain Hérault; Eric Laloy; Gilles Gasso (CoRR, 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)

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

Foreground-Background Ambient Sound Scene Separation. - Michel Olvera; Emmanuel Vincent 001; Romain Serizel; Gilles Gasso (EUSIPCO, 2020)

Object Detection in the DCT Domain: is Luminance the Solution? - Benjamin Deguerre; Clément Chatelain 001; Gilles Gasso (ICPR, 2020)

Partial Optimal Tranport with applications on Positive-Unlabeled Learning. - Laetitia Chapel; Mokhtar Z. Alaya; Gilles Gasso (NeurIPS, 2020)

Learning from Partially Labeled Sequences for Behavioral Signal Annotation. - Anna Aniszewska-Stepien; Romain Hérault; Guillaume Hacques; Ludovic Seifert; Gilles Gasso (MLSA@PKDD/ECML, 2020)

Open Set Domain Adaptation Using Optimal Transport. - Marwa Kechaou; Romain Hérault; Mokhtar Z. Alaya; Gilles Gasso (ECML/PKDD (1), 2020)

Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. - Laetitia Chapel; Mokhtar Z. Alaya; Gilles Gasso (CoRR, 2020)

Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport. - Mokhtar Z. Alaya; Maxime Bérar; Gilles Gasso; Alain Rakotomamonjy (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)

Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression. - Alain Rakotomamonjy; Rémi Flamary; Gilles Gasso; Joseph Salmon (CoRR, 2020)

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

Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. - Laetitia Chapel; Rémi Flamary; Haoran Wu; Cédric Févotte; Gilles Gasso (NeurIPS, 2021)

Distributional Sliced Embedding Discrepancy for Incomparable Distributions. - Mokhtar Z. Alaya; Gilles Gasso; Maxime Berar; Alain Rakotomamonjy (CoRR, 2021)

Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences. - Alain Rakotomamonjy; Mokhtar Z. Alaya; Maxime Berar; Gilles Gasso (CoRR, 2021)

Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. - Alain Rakotomamonjy; Rémi Flamary; Joseph Salmon; Gilles Gasso (AISTATS, 2022)

Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach. - Mohammad Abdollahi; Romain Serizel; Alain Rakotomamonjy; Gilles Gasso (DCASE, 2022)

On The Impact of Normalization Strategies in Unsupervised Adversarial Domain Adaptation for Acoustic Scene Classification. - Michel Olvera; Emmanuel Vincent 001; Gilles Gasso (ICASSP, 2022)

Bregman Neural Networks. - Jordan Frécon; Gilles Gasso; Massimiliano Pontil; Saverio Salzo (ICML, 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)

Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach. - Imen Trabelsi 001; Romain Hérault; Héloise Baillet; Régis Thouvarecq; Ludovic Seifert; Gilles Gasso (Comput. Biol. Medicine, 2022)

Physically-admissible polarimetric data augmentation for road-scene analysis. - Cyprien Ruffino; Rachel Blin; Samia Ainouz 001; Gilles Gasso; Romain Hérault; Fabrice Mériaudeau; Stéphane Canu (Comput. Vis. Image Underst., 2022)

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

Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. - Guillaume Mahey; Laetitia Chapel; Gilles Gasso; Clément Bonet; Nicolas Courty (NeurIPS, 2023)

Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. - Guillaume Mahey; Laetitia Chapel; Gilles Gasso; Clément Bonet; Nicolas Courty (CoRR, 2023)

Addressing Open-set Object Detection for Autonomous Driving perception: A focus on road objects. - Corentin Bunel; Maxime Guériau; Alaa Daoud; Samia Ainouz 001; Gilles Gasso (IV, 2024)

Linear Modeling of the Adversarial Noise Space. - Jordan Patracone; Lucas Anquetil; Yuan Liu; Gilles Gasso; Stéphane Canu (ECML/PKDD (4), 2024)

A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint. - Jordan Patracone; Paul Viallard; Emilie Morvant; Gilles Gasso; Amaury Habrard; Stéphane Canu (ECML/PKDD (4), 2024)

Gaussian-Smoothed Sliced Probability Divergences. - Mokhtar Z. Alaya; Alain Rakotomamonjy; Maxime Berar; Gilles Gasso (Trans. Mach. Learn. Res., 2024)

End-to-End Traffic Flow Rate Estimation From MPEG4 part-2 Compressed Video Streams. - Benjamin Deguerre; Clément Chatelain 001; Gilles Gasso (IEEE Trans. Intell. Transp. Syst., 2024)

Postural regulation and signal segmentation using clustering with TV regularization approach. - Imen Trabelsi 001; Romain Hérault; Héloise Baillet; Régis Thouvarecq; Ludovic Seifert; Gilles Gasso (Biomed. Signal Process. Control., 2025)

Adversarial Semi-supervised domain adaptation for semantic segmentation: A new role for labeled target samples. - Marwa Kechaou; Mokhtar Z. Alaya; Romain Hérault; Gilles Gasso (Comput. Vis. Image Underst., 2025)

Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time Series. - Romain Mussard; Fannia Pacheco; Maxime Berar; Gilles Gasso; Paul Honeine (CoRR, 2025)

PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection. - Samy-Melwan Vilhes; Gilles Gasso; Mokhtar Z. Alaya (CoRR, 2025)

Universal Domain Adaptation Benchmark for Time Series Data Representation. - Romain Mussard; Fannia Pacheco; Maxime Berar; Gilles Gasso; Paul Honeine (CoRR, 2025)