Florian Yger

Neurocomputing, October, 2023

The edge-preservation similarity for comparing rooted, unordered, node-labeled trees.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., March, 2023

Structure-Preserving Transformers for Sequences of SPD Matrices.

[BibT_eX]

[DOI]

CoRR, 2023

Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2023

Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE).

[BibT_eX]

[DOI]

Fabrizio de Vico Fallani

IEEE Trans. Biomed. Eng., 2022

Riemannian geometry for combining functional connectivity metrics and covariance in BCI.

[BibT_eX]

[DOI]

Fabrizio de Vico Fallani

Softw. Impacts, 2022

On the robustness of randomized classifiers to adversarial examples.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Multi-winner approval voting goes epistemic.

[BibT_eX]

[DOI]

Tahar Allouche

Jérôme Lang

Proceedings of the Uncertainty in Artificial Intelligence, 2022

A differentiable approximation for the Linear Sum Assignment Problem with Edition.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Is the U-NET Directional-Relationship Aware?

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Challenges in anomaly and change point detection.

[BibT_eX]

[DOI]

Madalina Olteanu

Fabrice Rossi

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Truth-Tracking via Approval Voting: Size Matters.

[BibT_eX]

[DOI]

Tahar Allouche

Jérôme Lang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Non parametric estimation of causal populations in a counterfactual scenario.

[BibT_eX]

[DOI]

Céline Beji

Jamal Atif

CoRR, 2021

A new Sinkhorn algorithm with Deletion and Insertion operations.

[BibT_eX]

[DOI]

CoRR, 2021

The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections [Extended Version].

[BibT_eX]

[DOI]

CoRR, 2021

Template-Based Graph Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Scaling up graph homomorphism for classification via sampling.

[BibT_eX]

[DOI]

Paul Beaujean

Florian Sikora

CoRR, 2021

Approximation of dilation-based spatial relations to add structural constraints in neural networks.

[BibT_eX]

[DOI]

Mateus Riva

Pietro Gori

Roberto Marcondes Cesar Junior

Isabelle Bloch

CoRR, 2021

Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity.

[BibT_eX]

[DOI]

Camille Noûs

CoRR, 2021

The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections.

[BibT_eX]

[DOI]

Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

Neural Maximum Independent Set.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Graph Homomorphism Features: Why Not Sample?

[BibT_eX]

[DOI]

Paul Beaujean

Florian Sikora

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data.

[BibT_eX]

[DOI]

Maria Sayu Yamamoto

Proceedings of the IEEE International Conference on Acoustics, 2021

Riemannian Geometry on Connectivity for Clinical BCI.

[BibT_eX]

[DOI]

Camille Noûs

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Estimating Individual Treatment Effects through Causal Populations Identification.

[BibT_eX]

[DOI]

CoRR, 2020

A Metric Learning Approach to Graph Edit Costs for Regression.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images.

[BibT_eX]

[DOI]

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent.

[BibT_eX]

[DOI]

Nicolas Boria

Benjamin Négrevergne

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Estimating Individual Treatment Effects through Causal Populations Identification.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Geodesically-convex optimization for averaging partially observed covariance matrices.

[BibT_eX]

[DOI]

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

A unified view on differential privacy and robustness to adversarial examples.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Neural Networks using Randomized Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2019

Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family.

[BibT_eX]

[DOI]

CoRR, 2019

Theoretical evidence for adversarial robustness through randomization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces.

[BibT_eX]

[DOI]

Satyam Kumar

Fabien Lotte

Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

2018

Graph-based Clustering under Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Uplift Modeling from Separate Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Geometry-aware principal component analysis for symmetric positive definite matrices.

[BibT_eX]

[DOI]

Inbal Horev

Mach. Learn., 2017

Online Learning of Acyclic Conditional Preference Networks from Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on coMics Analysis, 2017

Recognizing Art Style Automatically in Painting with Deep Learning.

[BibT_eX]

[DOI]

Adrian Lecoutre

Benjamin Négrevergne

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Multitask Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of The 8th Asian Conference on Machine Learning, 2016

Geometry-aware stationary subspace analysis.

[BibT_eX]

[DOI]

Inbal Horev

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

Importance-weighted covariance estimation for robust common spatial pattern.

[BibT_eX]

[DOI]

Alessandro Balzi

Pattern Recognit. Lett., 2015

Supervised LogEuclidean Metric Learning for Symmetric Positive Definite Matrices.

[BibT_eX]

[DOI]

CoRR, 2015

Averaging covariance matrices for EEG signal classification based on the CSP: An empirical study.

[BibT_eX]

[DOI]

Fabien Lotte

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Challenge IEEE-ISBI/TCB : Application of Covariance matrices and wavelet marginals.

[BibT_eX]

[DOI]

CoRR, 2014

2013

Learning with infinitely many features.

[BibT_eX]

[DOI]

Rémi Flamary

Mach. Learn., 2013

A review of kernels on covariance matrices for BCI applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

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

Apprentissage de dictionnaires d'ondelettes vaste marge pour la classification de signaux et de textures.

[BibT_eX]

[DOI]

Rev. d'Intelligence Artif., 2011

Wavelet kernel learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2011

A supervised strategy for deep kernel machine.

[BibT_eX]

[DOI]

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

Selecting from an infinite set of features in SVM.

[BibT_eX]

[DOI]

Rémi Flamary

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

2010

Large marginwavelet-based dictionary for signal classification.

[BibT_eX]

[DOI]