Gilles Gasso - RankMe

81 papers A* 7A 1B 9C 3Misc 2Journal 47Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	See Without Decoding: Motion-Vector-Based Tracking in Compressed Video. CoRR Axel Duché, Clément Chatelain, Gilles Gasso
2025	J	`jnl`	Adversarial Semi-supervised domain adaptation for semantic segmentation: A new role for labeled target samples. Comput. Vis. Image Underst. Marwa Kechaou, Mokhtar Z. Alaya, Romain Hérault, Gilles Gasso
2025	B	`conf`	Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series. IJCNN Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2025	J	`jnl`	Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time Series. CoRR Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2025	—	`conf`	PatchTrAD: A Patch-Based Transformer Focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection. EUSIPCO Samy-Melwan Vilhes, Gilles Gasso, Mokhtar Z. Alaya
2025	J	`jnl`	PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection. CoRR Samy-Melwan Vilhes, Gilles Gasso, Mokhtar Z. Alaya
2025	J	`jnl`	Postural regulation and signal segmentation using clustering with TV regularization approach. Biomed. Signal Process. Control. Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso
2025	—	`conf`	Universal Domain Adaptation Benchmark for Time Series Data Representation. EUSIPCO Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2025	J	`jnl`	Universal Domain Adaptation Benchmark for Time Series Data Representation. CoRR Romain Mussard, Fannia Pacheco, Maxime Berar, Gilles Gasso, Paul Honeine
2024	—	`conf`	A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint. ECML/PKDD (4) Jordan Patracone, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stéphane Canu
2024	C	`conf`	Addressing Open-set Object Detection for Autonomous Driving perception: A focus on road objects. IV Corentin Bunel, Maxime Guériau, Alaa Daoud, Samia Ainouz, Gilles Gasso
2024	J	`jnl`	End-to-End Traffic Flow Rate Estimation From MPEG4 part-2 Compressed Video Streams. IEEE Trans. Intell. Transp. Syst. Benjamin Deguerre, Clément Chatelain, Gilles Gasso
2024	J	`jnl`	Gaussian-Smoothed Sliced Probability Divergences. CoRR Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso
2024	J	`jnl`	Gaussian-Smoothed Sliced Probability Divergences. Trans. Mach. Learn. Res. Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso
2024	—	`conf`	Linear Modeling of the Adversarial Noise Space. ECML/PKDD (4) Jordan Patracone, Lucas Anquetil, Yuan Liu, Gilles Gasso, Stéphane Canu
2023	J	`jnl`	Adversarial Semi-Supervised Domain Adaptation for Semantic Segmentation: A New Role for Labeled Target Samples. CoRR Marwa Kechaou, Mokhtar Z. Alaya, Romain Hérault, Gilles Gasso
2023	A*	`conf`	Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
2023	J	`jnl`	Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
2022	A*	`conf`	Bregman Neural Networks. ICML Jordan Frécon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo
2022	A	`conf`	Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. AISTATS Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso
2022	J	`jnl`	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. Komi Midzodzi Pekpe, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C. Guinhouya
2022	J	`jnl`	Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach. Comput. Biol. Medicine Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso
2022	—	`conf`	Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach. DCASE Mohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso
2022	Misc	`conf`	On The Impact of Normalization Strategies in Unsupervised Adversarial Domain Adaptation for Acoustic Scene Classification. ICASSP Michel Olvera, Emmanuel Vincent, Gilles Gasso
2022	J	`jnl`	Optimal transport for conditional domain matching and label shift. Mach. Learn. Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty
2022	J	`jnl`	Physically-admissible polarimetric data augmentation for road-scene analysis. CoRR Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu
2022	J	`jnl`	Physically-admissible polarimetric data augmentation for road-scene analysis. Comput. Vis. Image Underst. Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu
2022	J	`jnl`	Theoretical guarantees for bridging metric measure embedding and optimal transport. Neurocomputing Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy
2021	J	`jnl`	Distributional Sliced Embedding Discrepancy for Incomparable Distributions. CoRR Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy
2021	J	`jnl`	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 Komi Midzodzi Pékpé, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C. Guinhouya
2021	J	`jnl`	Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences. CoRR Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso
2021	A*	`conf`	Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
2021	J	`jnl`	Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
2020	—	`conf`	Foreground-Background Ambient Sound Scene Separation. EUSIPCO Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso
2020	J	`jnl`	Foreground-Background Ambient Sound Scene Separation. CoRR Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso
2020	—	`conf`	Learning from Partially Labeled Sequences for Behavioral Signal Annotation. MLSA@PKDD/ECML Anna Aniszewska-Stepien, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso
2020	J	`jnl`	Match and Reweight Strategy for Generalized Target Shift. CoRR Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty
2020	J	`jnl`	Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport. CoRR Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy
2020	B	`conf`	Object Detection in the DCT Domain: is Luminance the Solution? ICPR Benjamin Deguerre, Clément Chatelain, Gilles Gasso
2020	J	`jnl`	Object Detection in the DCT Domain: is Luminance the Solution? CoRR Benjamin Deguerre, Clément Chatelain, Gilles Gasso
2020	—	`conf`	Open Set Domain Adaptation Using Optimal Transport. ECML/PKDD (1) Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso
2020	J	`jnl`	Open Set Domain Adaptation using Optimal Transport. CoRR Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso
2020	J	`jnl`	Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. CoRR Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
2020	A*	`conf`	Partial Optimal Tranport with applications on Positive-Unlabeled Learning. NeurIPS Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
2020	J	`jnl`	Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion. CoRR Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2020	J	`jnl`	Pixel-wise conditioned generative adversarial networks for image synthesis and completion. Neurocomputing Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2020	J	`jnl`	Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression. CoRR Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon
2019	J	`jnl`	Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. CoRR Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2019	—	`conf`	Fast object detection in compressed JPEG Images. ITSC Benjamin Deguerre, Clément Chatelain, Gilles Gasso
2019	J	`jnl`	Fast object detection in compressed JPEG Images. CoRR Benjamin Deguerre, Clément Chatelain, Gilles Gasso
2019	J	`jnl`	Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible? Comput. Geosci. Eric Laloy, Niklas Linde, Cyprien Ruffino, Romain Hérault, Gilles Gasso, Diederik Jacques
2019	J	`jnl`	Palmprint recognition with an efficient data driven ensemble classifier. Pattern Recognit. Lett. Imad Rida, Romain Hérault, Gian Luca Marcialis, Gilles Gasso
2019	B	`conf`	Pixel-wise Conditioning of Generative Adversarial Networks. ESANN Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2019	J	`jnl`	Pixel-wise Conditioning of Generative Adversarial Networks. CoRR Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso
2019	J	`jnl`	Screening Rules for Lasso with Non-Convex Sparse Regularizers. CoRR Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon
2019	A*	`conf`	Screening Sinkhorn Algorithm for Regularized Optimal Transport. NeurIPS Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
2019	J	`jnl`	Screening Sinkhorn Algorithm for Regularized Optimal Transport. CoRR Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy
2019	A*	`conf`	Screening rules for Lasso with non-convex Sparse Regularizers. ICML Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon
2018	J	`jnl`	An efficient supervised dictionary learning method for audio signal recognition. CoRR Imad Rida, Romain Hérault, Gilles Gasso
2016	J	`jnl`	DC Proximal Newton for Nonconvex Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso
2016	J	`jnl`	Importance sampling strategy for non-convex randomized block-coordinate descent. CoRR Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso
2015	J	`jnl`	DC Proximal Newton for Non-Convex Optimization Problems. CoRR Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso
2015	J	`jnl`	Histogram of Gradients of Time-Frequency Representations for Audio Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. Alain Rakotomamonjy, Gilles Gasso
2015	J	`jnl`	Histogram of gradients of Time-Frequency Representations for Audio scene detection. CoRR Alain Rakotomamonjy, Gilles Gasso
2015	—	`conf`	Importance sampling strategy for non-convex randomized block-coordinate descent. CAMSAP Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso
2014	C	`conf`	Supervised Music Chord Recognition. ICMLA Imad Rida, Romain Hérault, Gilles Gasso
2013	B	`conf`	Emotional Influence on SSVEP Based BCI. ACII Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stéphane Canu
2012	J	`jnl`	A multiple kernel framework for inductive semi-supervised SVM learning. Neurocomputing Xilan Tian, Gilles Gasso, Stéphane Canu
2012	A*	`conf`	Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. ICML Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
2012	Misc	`conf`	Oblique principal subspace tracking on manifold. ICASSP Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
2011	B	`conf`	A Multi-kernel Framework for Inductive Semi-supervised Learning. ESANN Xilan Tian, Gilles Gasso, Stéphane Canu
2011	B	`conf`	A supervised strategy for deep kernel machine. ESANN Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
2011	J	`jnl`	Batch and online learning algorithms for nonconvex neyman-pearson classification. ACM Trans. Intell. Syst. Technol. Gilles Gasso, Aristidis Pappaioannou, Marina Spivak, Léon Bottou
2011	J	`jnl`	ell IEEE Trans. Neural Networks Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu
2009	J	`jnl`	Recovering sparse signals with a certain family of nonconvex penalties and DC programming. IEEE Trans. Signal Process. Gilles Gasso, Alain Rakotomamonjy, Stéphane Canu
2008	B	`conf`	Regularization path for Ranking SVM. ESANN Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu
2007	B	`conf`	Computing and stopping the solution paths for $\nu$-SVR. ESANN Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
2007	B	`conf`	Estimation of tangent planes for neighborhood graph correction. ESANN Karina Zapien Arreola, Gilles Gasso, Stéphane Canu
2007	—	`conf`	Regularization Paths for ISNN (3) Gaëlle Loosli, Gilles Gasso, Stéphane Canu
2007	—	`conf`	Smoothness and sparsity tuning for Semi-Supervised SVM. NATO ASI Mining Massive Data Sets for Security Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
2007	C	`conf`	Sparsity regularization path for semi-supervised SVM. ICMLA Gilles Gasso, Karina Zapien Arreola, Stéphane Canu