Florian Yger

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 57

Top Topics

Change Point Detection

Functional Connectivity

Covariance Matrices

Principal Component Analysis

Top Venues

PKDD/ECML Workshops (1)

Publications

Nicolas Boria, Jana Kiederle, Florian Yger, David B. Blumenthal
The edge-preservation similarity for comparing rooted, unordered, node-labeled trees. Pattern Recognit. Lett. 167 (2023)
Mathieu Seraphim, Paul Dequidt, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard
Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms. CAIP (2) (2023)
Madalina Olteanu, Fabrice Rossi, Florian Yger
Meta-survey on outlier and anomaly detection. CoRR (2023)
Madalina Olteanu, Fabrice Rossi, Florian Yger
Meta-survey on outlier and anomaly detection. Neurocomputing 555 (2023)
Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard
Structure-Preserving Transformers for Sequences of SPD Matrices. CoRR (2023)
Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. AISTATS (2023)
Mateus Riva, Pietro Gori, Florian Yger, Isabelle Bloch
Is the U-NET Directional-Relationship Aware? ICIP (2022)
Marie-Constance Corsi, Sylvain Chevallier, Fabrizio de Vico Fallani, Florian Yger
Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE). IEEE Trans. Biomed. Eng. 69 (9) (2022)
Madalina Olteanu, Fabrice Rossi, Florian Yger
Challenges in anomaly and change point detection. CoRR (2022)
Luc Brun, Benoit Gaüzère, Guillaume Renton, Sébastien Bougleux, Florian Yger
A differentiable approximation for the Linear Sum Assignment Problem with Edition. ICPR (2022)
Madalina Olteanu, Fabrice Rossi, Florian Yger
Challenges in anomaly and change point detection. ESANN (2022)
Maria Sayu Yamamoto, Fabien Lotte, Florian Yger, Sylvain Chevallier
Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results. EMBC (2022)
Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
On the robustness of randomized classifiers to adversarial examples. Mach. Learn. 111 (9) (2022)
Tahar Allouche, Jérôme Lang, Florian Yger
Truth-Tracking via Approval Voting: Size Matters. AAAI (2022)
Sylvain Chevallier, Marie-Constance Corsi, Florian Yger, Fabrizio de Vico Fallani
Riemannian geometry for combining functional connectivity metrics and covariance in BCI. Softw. Impacts 12 (2022)
Tahar Allouche, Jérôme Lang, Florian Yger
Multi-winner approval voting goes epistemic. UAI (2022)
Mateus Riva, Pietro Gori, Florian Yger, Isabelle Bloch
Is the U-Net Directional-Relationship Aware? CoRR (2022)
Tahar Allouche, Jérôme Lang, Florian Yger
Multi-winner Approval Voting Goes Epistemic. CoRR (2022)
Céline Beji, Florian Yger, Jamal Atif
Non parametric estimation of causal populations in a counterfactual scenario. CoRR (2021)
Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs
Riemannian Geometry on Connectivity for Clinical BCI. ICASSP (2021)
Tahar Allouche, Jérôme Lang, Florian Yger
Truth-tracking via Approval Voting: Size Matters. CoRR (2021)
Lucas Gnecco, Nicolas Boria, Sébastien Bougleux, Florian Yger, David B. Blumenthal
The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections [Extended Version]. CoRR (2021)
Paul Beaujean, Florian Sikora, Florian Yger
Scaling up graph homomorphism for classification via sampling. CoRR (2021)
Paul Beaujean, Florian Sikora, Florian Yger
Graph Homomorphism Features: Why Not Sample? PKDD/ECML Workshops (1) (2021)
Mateus Riva, Florian Yger, Pietro Gori, Roberto M. Cesar Jr., Isabelle Bloch
Template-Based Graph Clustering. CoRR (2021)
Maria Sayu Yamamoto, Florian Yger, Sylvain Chevallier
Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data. ICASSP (2021)
Luc Brun, Benoit Gaüzère, Sébastien Bougleux, Florian Yger
A new Sinkhorn algorithm with Deletion and Insertion operations. CoRR (2021)
Thomas Pontoizeau, Florian Sikora, Florian Yger, Tristan Cazenave
Neural Maximum Independent Set. PKDD/ECML Workshops (1) (2021)
Ikko Yamane, Junya Honda, Florian Yger, Masashi Sugiyama
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences. ICML (2021)
Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs
Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity. CoRR (2021)
Ikko Yamane, Junya Honda, Florian Yger, Masashi Sugiyama
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences. CoRR (2021)
Marie-Constance Corsi, Sylvain Chevallier, Fabrizio de Vico Fallani, Florian Yger
Functional connectivity ensemble method to enhance BCI performance (FUCONE). CoRR (2021)
Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
On the robustness of randomized classifiers to adversarial examples. CoRR (2021)
Mateus Riva, Pietro Gori, Florian Yger, Roberto Marcondes Cesar Junior, Isabelle Bloch
Approximation of dilation-based spatial relations to add structural constraints in neural networks. CoRR (2021)
Lucas Gnecco, Nicolas Boria, Sébastien Bougleux, Florian Yger, David B. Blumenthal
The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections. SISAP (2021)
Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra
Geodesically-convex optimization for averaging partially observed covariance matrices. ACML (2020)
Céline Beji, Eric Benhamou, Michaël Bon, Florian Yger, Jamal Atif
Estimating Individual Treatment Effects through Causal Populations Identification. ESANN (2020)
Céline Beji, Michaël Bon, Florian Yger, Jamal Atif
Estimating Individual Treatment Effects through Causal Populations Identification. CoRR (2020)
Jing Zhang, Caroline Petitjean, Florian Yger, Samia Ainouz
Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Nicolas Boria, Benjamin Négrevergne, Florian Yger
Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent. ESANN (2020)
Linlin Jia, Benoit Gaüzère, Florian Yger, Paul Honeine
A Metric Learning Approach to Graph Edit Costs for Regression. S+SSPR (2020)
Satyam Kumar, Florian Yger, Fabien Lotte
Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces. BCI (2019)
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. CoRR (2019)
Rafael Pinot, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
A unified view on differential privacy and robustness to adversarial examples. CoRR (2019)
Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif
Robust Neural Networks using Randomized Adversarial Training. CoRR (2019)
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
Theoretical evidence for adversarial robustness through randomization. NeurIPS (2019)
Ikko Yamane, Florian Yger, Jamal Atif, Masashi Sugiyama
Uplift Modeling from Separate Labels. NeurIPS (2018)
Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
Graph-based Clustering under Differential Privacy. UAI (2018)
Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
Graph-based Clustering under Differential Privacy. CoRR (2018)
Adrian Lecoutre, Benjamin Négrevergne, Florian Yger
Recognizing Art Style Automatically in Painting with Deep Learning. ACML (2017)
Inbal Horev, Florian Yger, Masashi Sugiyama
Geometry-aware principal component analysis for symmetric positive definite matrices. Mach. Learn. 106 (4) (2017)
Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif
Online Learning of Acyclic Conditional Preference Networks from Noisy Data. ICDM (2017)
Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. MANPU@ICDAR (2017)
Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. CoRR (2017)
Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama
Multitask Principal Component Analysis. ACML (2016)
Inbal Horev, Florian Yger, Masashi Sugiyama
Geometry-aware stationary subspace analysis. CoRR (2016)
Inbal Horev, Florian Yger, Masashi Sugiyama
Geometry-aware stationary subspace analysis. ACML (2016)
Florian Yger, Fabien Lotte, Masashi Sugiyama
Averaging covariance matrices for EEG signal classification based on the CSP: An empirical study. EUSIPCO (2015)
Alessandro Balzi, Florian Yger, Masashi Sugiyama
Importance-weighted covariance estimation for robust common spatial pattern. Pattern Recognit. Lett. 68 (2015)
Florian Yger, Masashi Sugiyama
Supervised LogEuclidean Metric Learning for Symmetric Positive Definite Matrices. CoRR (2015)
Inbal Horev, Florian Yger, Masashi Sugiyama
Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices. ACML (2015)
Florian Yger
Challenge IEEE-ISBI/TCB : Application of Covariance matrices and wavelet marginals. CoRR (2014)
Alain Rakotomamonjy, Rémi Flamary, Florian Yger
Learning with infinitely many features. Mach. Learn. 91 (1) (2013)
Florian Yger
A review of kernels on covariance matrices for BCI applications. MLSP (2013)
Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
Oblique principal subspace tracking on manifold. ICASSP (2012)
Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. ICML (2012)
Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
A supervised strategy for deep kernel machine. ESANN (2011)
Florian Yger, Alain Rakotomamonjy
Wavelet kernel learning. Pattern Recognit. 44 (10-11) (2011)
Florian Yger, Alain Rakotomamonjy
Apprentissage de dictionnaires d'ondelettes vaste marge pour la classification de signaux et de textures. Rev. d'Intelligence Artif. 25 (3) (2011)
Rémi Flamary, Florian Yger, Alain Rakotomamonjy
Selecting from an infinite set of features in SVM. ESANN (2011)
Florian Yger, Alain Rakotomamonjy
Large marginwavelet-based dictionary for signal classification. ICASSP (2010)