Gilles Gasso

IEEE Trans. Intell. Transp. Syst., August, 2024

Gaussian-Smoothed Sliced Probability Divergences.

[BibT_eX]

[DOI]

CoRR, 2024

A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Linear Modeling of the Adversarial Noise Space.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Addressing Open-set Object Detection for Autonomous Driving perception: A focus on road objects.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics.

[BibT_eX]

[DOI]

CoRR, 2023

Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Theoretical guarantees for bridging metric measure embedding and optimal transport.

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Benjamin C. Guinhouya

Appl. Intell., 2022

Bregman Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

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

[BibT_eX]

[DOI]

Michel Olvera

Emmanuel Vincent

Proceedings of the IEEE International Conference on Acoustics, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2021

Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences.

[BibT_eX]

[DOI]

CoRR, 2021

Distributional Sliced Embedding Discrepancy for Incomparable Distributions.

[BibT_eX]

[DOI]

CoRR, 2021

Unbalanced Optimal Transport through Non-negative Penalized Linear Regression.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neurocomputing, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Match and Reweight Strategy for Generalized Target Shift.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Laetitia Chapel

Mokhtar Z. Alaya

CoRR, 2020

Open Set Domain Adaptation Using Optimal Transport.

[BibT_eX]

[DOI]

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

Learning from Partially Labeled Sequences for Behavioral Signal Annotation.

[BibT_eX]

[DOI]

Anna Aniszewska-Stepien

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

Partial Optimal Tranport with applications on Positive-Unlabeled Learning.

[BibT_eX]

[DOI]

Laetitia Chapel

Mokhtar Z. Alaya

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?

[BibT_eX]

[DOI]

Benjamin Deguerre

Clément Chatelain

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

Foreground-Background Ambient Sound Scene Separation.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Palmprint recognition with an efficient data driven ensemble classifier.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

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

[BibT_eX]

[DOI]

Comput. Geosci., 2019

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Screening Sinkhorn Algorithm for Regularized Optimal Transport.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Benjamin Deguerre

Clément Chatelain

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Screening rules for Lasso with non-convex Sparse Regularizers.

[BibT_eX]

[DOI]

Joseph Salmon

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

Pixel-wise Conditioning of Generative Adversarial Networks.

[BibT_eX]

[DOI]

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

2018

An efficient supervised dictionary learning method for audio signal recognition.

[BibT_eX]

[DOI]

Imad Rida

Romain Hérault

CoRR, 2018

2016

DC Proximal Newton for Nonconvex Optimization Problems.

[BibT_eX]

[DOI]

Rémi Flamary

IEEE Trans. Neural Networks Learn. Syst., 2016

2015

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2015

DC Proximal Newton for Non-Convex Optimization Problems.

[BibT_eX]

[DOI]

Rémi Flamary

CoRR, 2015

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

[BibT_eX]

[DOI]

Rémi Flamary

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

2014

Supervised Music Chord Recognition.

[BibT_eX]

[DOI]

Imad Rida

Romain Hérault

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

2013

Emotional Influence on SSVEP Based BCI.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Xilan Tian

Neurocomputing, 2012

Adaptive Canonical Correlation Analysis Based On Matrix Manifolds.

[BibT_eX]

[DOI]

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

Oblique principal subspace tracking on manifold.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

ellp-ellq Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

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

[BibT_eX]

[DOI]

Aristidis Pappaioannou

Marina Spivak

Léon Bottou

ACM Trans. Intell. Syst. Technol., 2011

A supervised strategy for deep kernel machine.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Xilan Tian

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.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

2008

Regularization path for Ranking SVM.

[BibT_eX]

[DOI]

Thomas Gärtner

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

2007

Smoothness and sparsity tuning for Semi-Supervised SVM.

[BibT_eX]

[DOI]

Proceedings of the Mining Massive Data Sets for Security, 2007

Regularization Paths for nu -SVM and nu -SVR.

[BibT_eX]

[DOI]

Gaëlle Loosli

Proceedings of the Advances in Neural Networks, 2007

Sparsity regularization path for semi-supervised SVM.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Estimation of tangent planes for neighborhood graph correction.

[BibT_eX]

[DOI]