Florian Yger - RankMe

85 papers A* 7A 3B 8C 5Misc 4Journal 42Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Probabilistic View on Riemannian Machine Learning Models for SPD Matrices. GSI (3) Thibault de Surrel, Florian Yger, Fabien Lotte, Sylvain Chevallier
2025	J	`jnl`	A probabilistic view on Riemannian machine learning models for SPD matrices. CoRR Thibault de Surrel, Florian Yger, Fabien Lotte, Sylvain Chevallier
2025	—	`conf`	Experimental Study of Binary Diffing Resilience on Obfuscated Programs. DIMVA (1) Roxane Cohen, Robin David, Riccardo Mori, Florian Yger, Fabrice Rossi
2025	J	`jnl`	Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices. Trans. Mach. Learn. Res. Thibault de Surrel, Sylvain Chevallier, Fabien Lotte, Florian Yger
2025	J	`jnl`	Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary Code. CoRR Roxane Cohen, Robin David, Florian Yger, Fabrice Rossi
2025	J	`jnl`	Identifying obfuscated code through graph-based semantic analysis of binary code. Appl. Netw. Sci. Roxane Cohen, Robin David, Florian Yger, Fabrice Rossi
2025	—	`conf`	Interpretability of Riemannian Tools Used in Brain Computer Interfaces. MLSP Thibault de Surrel, Tristan Venot, Marie-Constance Corsi, Florian Yger
2025	A*	`conf`	Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices. ICML Thibault de Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger
2025	J	`jnl`	Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices. CoRR Thibault de Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger
2024	—	`conf`	A Differentiable Approximation of the Graph Edit Distance. S+SSPR Julia Wallnig, Luc Brun, Benoit Gaüzère, Sébastien Bougleux, Florian Yger, David B. Blumenthal
2024	J	`jnl`	Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks. CoRR Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard
2024	J	`jnl`	Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks. SN Comput. Sci. Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard
2024	—	`conf`	Averaging Trajectories on the Manifold of Symmetric Positive Definite Matrices. EUSIPCO Thibault de Surrel, Florian Yger, Sylvain Chevallier, Fabien Lotte
2024	—	`conf`	Structure-Preserving Transformers for Sequences of SPD Matrices. EUSIPCO Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard
2023	A	`conf`	Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. AISTATS Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger
2023	J	`jnl`	Meta-survey on outlier and anomaly detection. CoRR Madalina Olteanu, Fabrice Rossi, Florian Yger
2023	J	`jnl`	Meta-survey on outlier and anomaly detection. Neurocomputing Madalina Olteanu, Fabrice Rossi, Florian Yger
2023	J	`jnl`	Structure-Preserving Transformers for Sequences of SPD Matrices. CoRR Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard
2023	—	`conf`	Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms. CAIP (2) Mathieu Seraphim, Paul Dequidt, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard
2023	J	`jnl`	The edge-preservation similarity for comparing rooted, unordered, node-labeled trees. Pattern Recognit. Lett. Nicolas Boria, Jana Kiederle, Florian Yger, David B. Blumenthal
2022	B	`conf`	A differentiable approximation for the Linear Sum Assignment Problem with Edition. ICPR Luc Brun, Benoit Gaüzère, Guillaume Renton, Sébastien Bougleux, Florian Yger
2022	B	`conf`	Challenges in anomaly and change point detection. ESANN Madalina Olteanu, Fabrice Rossi, Florian Yger
2022	J	`jnl`	Challenges in anomaly and change point detection. CoRR Madalina Olteanu, Fabrice Rossi, Florian Yger
2022	—	`conf`	Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results. EMBC Maria Sayu Yamamoto, Fabien Lotte, Florian Yger, Sylvain Chevallier
2022	J	`jnl`	Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE). IEEE Trans. Biomed. Eng. Marie-Constance Corsi, Sylvain Chevallier, Fabrizio de Vico Fallani, Florian Yger
2022	B	`conf`	Is the U-NET Directional-Relationship Aware? ICIP Mateus Riva, Pietro Gori, Florian Yger, Isabelle Bloch
2022	J	`jnl`	Is the U-Net Directional-Relationship Aware? CoRR Mateus Riva, Pietro Gori, Florian Yger, Isabelle Bloch
2022	J	`jnl`	Multi-winner Approval Voting Goes Epistemic. CoRR Tahar Allouche, Jérôme Lang, Florian Yger
2022	A	`conf`	Multi-winner approval voting goes epistemic. UAI Tahar Allouche, Jérôme Lang, Florian Yger
2022	J	`jnl`	On the robustness of randomized classifiers to adversarial examples. Mach. Learn. Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
2022	J	`jnl`	Riemannian geometry for combining functional connectivity metrics and covariance in BCI. Softw. Impacts Sylvain Chevallier, Marie-Constance Corsi, Florian Yger, Fabrizio de Vico Fallani
2022	A*	`conf`	Truth-Tracking via Approval Voting: Size Matters. AAAI Tahar Allouche, Jérôme Lang, Florian Yger
2021	J	`jnl`	A new Sinkhorn algorithm with Deletion and Insertion operations. CoRR Luc Brun, Benoit Gaüzère, Sébastien Bougleux, Florian Yger
2021	J	`jnl`	Approximation of dilation-based spatial relations to add structural constraints in neural networks. CoRR Mateus Riva, Pietro Gori, Florian Yger, Roberto Marcondes Cesar Junior, Isabelle Bloch
2021	J	`jnl`	Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity. CoRR Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs
2021	J	`jnl`	Functional connectivity ensemble method to enhance BCI performance (FUCONE). CoRR Marie-Constance Corsi, Sylvain Chevallier, Fabrizio de Vico Fallani, Florian Yger
2021	—	`conf`	Graph Homomorphism Features: Why Not Sample? PKDD/ECML Workshops (1) Paul Beaujean, Florian Sikora, Florian Yger
2021	A*	`conf`	Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences. ICML Ikko Yamane, Junya Honda, Florian Yger, Masashi Sugiyama
2021	J	`jnl`	Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences. CoRR Ikko Yamane, Junya Honda, Florian Yger, Masashi Sugiyama
2021	—	`conf`	Neural Maximum Independent Set. PKDD/ECML Workshops (1) Thomas Pontoizeau, Florian Sikora, Florian Yger, Tristan Cazenave
2021	J	`jnl`	Non parametric estimation of causal populations in a counterfactual scenario. CoRR Céline Beji, Florian Yger, Jamal Atif
2021	J	`jnl`	On the robustness of randomized classifiers to adversarial examples. CoRR Rafael Pinot, Laurent Meunier, Florian Yger, Cédric Gouy-Pailler, Yann Chevaleyre, Jamal Atif
2021	Misc	`conf`	Riemannian Geometry on Connectivity for Clinical BCI. ICASSP Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs
2021	J	`jnl`	Scaling up graph homomorphism for classification via sampling. CoRR Paul Beaujean, Florian Sikora, Florian Yger
2021	Misc	`conf`	Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data. ICASSP Maria Sayu Yamamoto, Florian Yger, Sylvain Chevallier
2021	J	`jnl`	Template-Based Graph Clustering. CoRR Mateus Riva, Florian Yger, Pietro Gori, Roberto M. Cesar Jr., Isabelle Bloch
2021	J	`jnl`	The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections [Extended Version]. CoRR Lucas Gnecco, Nicolas Boria, Sébastien Bougleux, Florian Yger, David B. Blumenthal
2021	B	`conf`	The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections. SISAP Lucas Gnecco, Nicolas Boria, Sébastien Bougleux, Florian Yger, David B. Blumenthal
2021	J	`jnl`	Truth-tracking via Approval Voting: Size Matters. CoRR Tahar Allouche, Jérôme Lang, Florian Yger
2020	—	`conf`	A Metric Learning Approach to Graph Edit Costs for Regression. S+SSPR Linlin Jia, Benoit Gaüzère, Florian Yger, Paul Honeine
2020	B	`conf`	Estimating Individual Treatment Effects through Causal Populations Identification. ESANN Céline Beji, Eric Benhamou, Michaël Bon, Florian Yger, Jamal Atif
2020	J	`jnl`	Estimating Individual Treatment Effects through Causal Populations Identification. CoRR Céline Beji, Michaël Bon, Florian Yger, Jamal Atif
2020	—	`conf`	Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images. iMIMIC/MIL3ID/LABELS@MICCAI Jing Zhang, Caroline Petitjean, Florian Yger, Samia Ainouz
2020	B	`conf`	Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent. ESANN Nicolas Boria, Benjamin Négrevergne, Florian Yger
2020	C	`conf`	Geodesically-convex optimization for averaging partially observed covariance matrices. ACML Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra
2019	J	`jnl`	A unified view on differential privacy and robustness to adversarial examples. CoRR Rafael Pinot, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2019	J	`jnl`	Robust Neural Networks using Randomized Adversarial Training. CoRR Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif
2019	A*	`conf`	Theoretical evidence for adversarial robustness through randomization. NeurIPS Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2019	J	`jnl`	Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family. CoRR Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2019	—	`conf`	Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces. BCI Satyam Kumar, Florian Yger, Fabien Lotte
2018	A	`conf`	Graph-based Clustering under Differential Privacy. UAI Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2018	J	`jnl`	Graph-based Clustering under Differential Privacy. CoRR Rafael Pinot, Anne Morvan, Florian Yger, Cédric Gouy-Pailler, Jamal Atif
2018	A*	`conf`	Uplift Modeling from Separate Labels. NeurIPS Ikko Yamane, Florian Yger, Jamal Atif, Masashi Sugiyama
2017	J	`jnl`	Geometry-aware principal component analysis for symmetric positive definite matrices. Mach. Learn. Inbal Horev, Florian Yger, Masashi Sugiyama
2017	A*	`conf`	Online Learning of Acyclic Conditional Preference Networks from Noisy Data. ICDM Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif
2017	C	`conf`	Recognizing Art Style Automatically in Painting with Deep Learning. ACML Adrian Lecoutre, Benjamin Négrevergne, Florian Yger
2017	—	`conf`	Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. MANPU@ICDAR Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima
2017	J	`jnl`	Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. CoRR Jill-Jênn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kévin Cocchi, Thomas Chalumeau, Hisashi Kashima
2016	C	`conf`	Geometry-aware stationary subspace analysis. ACML Inbal Horev, Florian Yger, Masashi Sugiyama
2016	J	`jnl`	Geometry-aware stationary subspace analysis. CoRR Inbal Horev, Florian Yger, Masashi Sugiyama
2016	C	`conf`	Multitask Principal Component Analysis. ACML Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama
2015	—	`conf`	Averaging covariance matrices for EEG signal classification based on the CSP: An empirical study. EUSIPCO Florian Yger, Fabien Lotte, Masashi Sugiyama
2015	C	`conf`	Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices. ACML Inbal Horev, Florian Yger, Masashi Sugiyama
2015	J	`jnl`	Importance-weighted covariance estimation for robust common spatial pattern. Pattern Recognit. Lett. Alessandro Balzi, Florian Yger, Masashi Sugiyama
2015	J	`jnl`	Supervised LogEuclidean Metric Learning for Symmetric Positive Definite Matrices. CoRR Florian Yger, Masashi Sugiyama
2014	J	`jnl`	Challenge IEEE-ISBI/TCB : Application of Covariance matrices and wavelet marginals. CoRR Florian Yger
2013	—	`conf`	A review of kernels on covariance matrices for BCI applications. MLSP Florian Yger
2013	J	`jnl`	Learning with infinitely many features. Mach. Learn. Alain Rakotomamonjy, Rémi Flamary, Florian Yger
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 supervised strategy for deep kernel machine. ESANN Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
2011	J	`jnl`	Apprentissage de dictionnaires d'ondelettes vaste marge pour la classification de signaux et de textures. Rev. d'Intelligence Artif. Florian Yger, Alain Rakotomamonjy
2011	B	`conf`	Selecting from an infinite set of features in SVM. ESANN Rémi Flamary, Florian Yger, Alain Rakotomamonjy
2011	J	`jnl`	Wavelet kernel learning. Pattern Recognit. Florian Yger, Alain Rakotomamonjy
2010	Misc	`conf`	Large marginwavelet-based dictionary for signal classification. ICASSP Florian Yger, Alain Rakotomamonjy