default search action
Gilles Gasso
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
- [j16]Imen Trabelsi, Romain Hérault, Héloise Baillet, Régis Thouvarecq, Ludovic Seifert, Gilles Gasso:
Postural regulation and signal segmentation using clustering with TV regularization approach. Biomed. Signal Process. Control. 99: 106808 (2025) - 2024
- [j15]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): 8949-8959 (2024) - [c31]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: 1564-1571 - [c30]Jordan Patracone, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stéphane Canu:
A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint. ECML/PKDD (4) 2024: 283-300 - [c29]Jordan Patracone, Lucas Anquetil, Yuan Liu, Gilles Gasso, Stéphane Canu:
Linear Modeling of the Adversarial Noise Space. ECML/PKDD (4) 2024: 301-317 - [i25]Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso:
Gaussian-Smoothed Sliced Probability Divergences. CoRR abs/2404.03273 (2024) - 2023
- [c28]Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty:
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS 2023 - [i24]Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty:
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR abs/2307.01770 (2023) - [i23]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 abs/2312.07370 (2023) - 2022
- [j14]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): 71-80 (2022) - [j13]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: 105193 (2022) - [j12]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: 103495 (2022) - [j11]Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Theoretical guarantees for bridging metric measure embedding and optimal transport. Neurocomputing 468: 416-430 (2022) - [j10]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): 1651-1670 (2022) - [c27]Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso:
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. AISTATS 2022: 5196-5211 - [c26]Mohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso:
Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach. DCASE 2022 - [c25]Michel Olvera, Emmanuel Vincent, Gilles Gasso:
On The Impact of Normalization Strategies in Unsupervised Adversarial Domain Adaptation for Acoustic Scene Classification. ICASSP 2022: 631-635 - [c24]Jordan Frécon, Gilles Gasso, Massimiliano Pontil, Saverio Salzo:
Bregman Neural Networks. ICML 2022: 6779-6792 - [i22]Cyprien Ruffino, Rachel Blin, Samia Ainouz, Gilles Gasso, Romain Hérault, Fabrice Mériaudeau, Stéphane Canu:
Physically-admissible polarimetric data augmentation for road-scene analysis. CoRR abs/2206.07431 (2022) - 2021
- [c23]Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso:
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS 2021: 23270-23282 - [i21]Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy:
Distributional Sliced Embedding Discrepancy for Incomparable Distributions. CoRR abs/2106.02542 (2021) - [i20]Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso:
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR abs/2106.04145 (2021) - [i19]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 abs/2106.11918 (2021) - [i18]Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso:
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences. CoRR abs/2110.10524 (2021) - 2020
- [j9]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise conditioned generative adversarial networks for image synthesis and completion. Neurocomputing 416: 218-230 (2020) - [c22]Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso:
Foreground-Background Ambient Sound Scene Separation. EUSIPCO 2020: 281-285 - [c21]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Object Detection in the DCT Domain: is Luminance the Solution? ICPR 2020: 2627-2634 - [c20]Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso:
Partial Optimal Tranport with applications on Positive-Unlabeled Learning. NeurIPS 2020 - [c19]Anna Aniszewska-Stepien, Romain Hérault, Guillaume Hacques, Ludovic Seifert, Gilles Gasso:
Learning from Partially Labeled Sequences for Behavioral Signal Annotation. MLSA@PKDD/ECML 2020: 126-139 - [c18]Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso:
Open Set Domain Adaptation Using Optimal Transport. ECML/PKDD (1) 2020: 412-435 - [i17]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion. CoRR abs/2002.01281 (2020) - [i16]Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso:
Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. CoRR abs/2002.08276 (2020) - [i15]Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport. CoRR abs/2002.08314 (2020) - [i14]Michel Olvera, Emmanuel Vincent, Romain Serizel, Gilles Gasso:
Foreground-Background Ambient Sound Scene Separation. CoRR abs/2005.07006 (2020) - [i13]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Object Detection in the DCT Domain: is Luminance the Solution? CoRR abs/2006.05732 (2020) - [i12]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty:
Match and Reweight Strategy for Generalized Target Shift. CoRR abs/2006.08161 (2020) - [i11]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon:
Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression. CoRR abs/2006.13533 (2020) - [i10]Marwa Kechaou, Romain Hérault, Mokhtar Z. Alaya, Gilles Gasso:
Open Set Domain Adaptation using Optimal Transport. CoRR abs/2010.01045 (2020)
2010 – 2019
- 2019
- [j8]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) - [j7]Imad Rida, Romain Hérault, Gian Luca Marcialis, Gilles Gasso:
Palmprint recognition with an efficient data driven ensemble classifier. Pattern Recognit. Lett. 126: 21-30 (2019) - [c17]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioning of Generative Adversarial Networks. ESANN 2019 - [c16]Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon:
Screening rules for Lasso with non-convex Sparse Regularizers. ICML 2019: 5341-5350 - [c15]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Fast object detection in compressed JPEG Images. ITSC 2019: 333-338 - [c14]Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
Screening Sinkhorn Algorithm for Regularized Optimal Transport. NeurIPS 2019: 12169-12179 - [i9]Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon:
Screening Rules for Lasso with Non-Convex Sparse Regularizers. CoRR abs/1902.06125 (2019) - [i8]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Fast object detection in compressed JPEG Images. CoRR abs/1904.08408 (2019) - [i7]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. CoRR abs/1905.08613 (2019) - [i6]Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy:
Screening Sinkhorn Algorithm for Regularized Optimal Transport. CoRR abs/1906.08540 (2019) - [i5]Cyprien Ruffino, Romain Hérault, Eric Laloy, Gilles Gasso:
Pixel-wise Conditioning of Generative Adversarial Networks. CoRR abs/1911.00689 (2019) - 2018
- [i4]Imad Rida, Romain Hérault, Gilles Gasso:
An efficient supervised dictionary learning method for audio signal recognition. CoRR abs/1812.04748 (2018) - 2016
- [j6]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso:
DC Proximal Newton for Nonconvex Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 27(3): 636-647 (2016) - [i3]Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso:
Importance sampling strategy for non-convex randomized block-coordinate descent. CoRR abs/1606.07286 (2016) - 2015
- [j5]Alain Rakotomamonjy, Gilles Gasso:
Histogram of Gradients of Time-Frequency Representations for Audio Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 142-153 (2015) - [c13]Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso:
Importance sampling strategy for non-convex randomized block-coordinate descent. CAMSAP 2015: 301-304 - [i2]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso:
DC Proximal Newton for Non-Convex Optimization Problems. CoRR abs/1507.00438 (2015) - [i1]Alain Rakotomamonjy, Gilles Gasso:
Histogram of gradients of Time-Frequency Representations for Audio scene detection. CoRR abs/1508.04909 (2015) - 2014
- [c12]Imad Rida, Romain Hérault, Gilles Gasso:
Supervised Music Chord Recognition. ICMLA 2014: 336-341 - 2013
- [c11]Yachen Zhu, Xilan Tian, Guobing Wu, Gilles Gasso, Shangfei Wang, Stéphane Canu:
Emotional Influence on SSVEP Based BCI. ACII 2013: 859-864 - 2012
- [j4]Xilan Tian, Gilles Gasso, Stéphane Canu:
A multiple kernel framework for inductive semi-supervised SVM learning. Neurocomputing 90: 46-58 (2012) - [c10]Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
Oblique principal subspace tracking on manifold. ICASSP 2012: 2429-2432 - [c9]Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. ICML 2012 - 2011
- [j3]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): 28:1-28:19 (2011) - [j2]Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu:
ellp-ellq Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning. IEEE Trans. Neural Networks 22(8): 1307-1320 (2011) - [c8]Xilan Tian, Gilles Gasso, Stéphane Canu:
A Multi-kernel Framework for Inductive Semi-supervised Learning. ESANN 2011 - [c7]Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy:
A supervised strategy for deep kernel machine. ESANN 2011
2000 – 2009
- 2009
- [j1]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): 4686-4698 (2009) - 2008
- [c6]Karina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu:
Regularization path for Ranking SVM. ESANN 2008: 415-420 - 2007
- [c5]Gilles Gasso, Karina Zapien Arreola, Stéphane Canu:
Computing and stopping the solution paths for $\nu$-SVR. ESANN 2007: 253-258 - [c4]Karina Zapien Arreola, Gilles Gasso, Stéphane Canu:
Estimation of tangent planes for neighborhood graph correction. ESANN 2007: 397-402 - [c3]Gilles Gasso, Karina Zapien Arreola, Stéphane Canu:
Sparsity regularization path for semi-supervised SVM. ICMLA 2007: 25-30 - [c2]Gaëlle Loosli, Gilles Gasso, Stéphane Canu:
Regularization Paths for nu -SVM and nu -SVR. ISNN (3) 2007: 486-496 - [c1]Gilles Gasso, Karina Zapien Arreola, Stéphane Canu:
Smoothness and sparsity tuning for Semi-Supervised SVM. NATO ASI Mining Massive Data Sets for Security 2007: 85-86
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint