| 2026 | ESANN | Deobfuscation as a GNN-Based Graph-Edit Problem by Reinforcement Learning. | Roxane Cohen, Robin David, Samuel Hangout, Florian Yger, Fabrice Rossi |
| 2026 | ESANN | SPDNet-AE: a Compact SPD Representation through Riemannian Autoencoding. | Thibault de Surrel, Charlotte Boucherie, Florian Yger |
| 2025 | DIMVA | Experimental Study of Binary Diffing Resilience on Obfuscated Programs. | Roxane Cohen, Robin David, Riccardo Mori, Florian Yger, Fabrice Rossi |
| 2025 | ESANN | 3-WL GNNs for Metric Learning on Graphs. | Aldo Moscatelli, Maxime Berar, Pierre Hroux, Florian Yger, Sbastien Adam |
| 2025 | ICML | Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices. | Thibault de Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger |
| 2023 | AISTATS | Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. | Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger |
| 2023 | CAIP | Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms. | Mathieu Seraphim, Paul Dequidt, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard |
| 2022 | AAAI | Truth-Tracking via Approval Voting: Size Matters. | Tahar Allouche, Jrme Lang, Florian Yger |
| 2022 | ESANN | Challenges in anomaly and change point detection. | Madalina Olteanu, Fabrice Rossi, Florian Yger |
| 2022 | ICIP | Is the U-NET Directional-Relationship Aware? | Mateus Riva, Pietro Gori, Florian Yger, Isabelle Bloch |
| 2022 | ICPR | A differentiable approximation for the Linear Sum Assignment Problem with Edition. | Luc Brun, Benoit Gazre, Guillaume Renton, Sbastien Bougleux, Florian Yger |
| 2022 | UAI | Multi-winner approval voting goes epistemic. | Tahar Allouche, Jrme Lang, Florian Yger |
| 2021 | ICASSP | Riemannian Geometry on Connectivity for Clinical BCI. | Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Nos |
| 2021 | ICASSP | Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data. | Maria Sayu Yamamoto, Florian Yger, Sylvain Chevallier |
| 2021 | ICML | Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences. | Ikko Yamane, Junya Honda, Florian Yger, Masashi Sugiyama |
| 2021 | SISAP | The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections. | Lucas Gnecco, Nicolas Boria, Sbastien Bougleux, Florian Yger, David B. Blumenthal |
| 2020 | ACML | Geodesically-convex optimization for averaging partially observed covariance matrices. | Florian Yger, Sylvain Chevallier, Quentin Barthlemy, Suvrit Sra |
| 2020 | ESANN | Estimating Individual Treatment Effects through Causal Populations Identification. | Cline Beji, Eric Benhamou, Michal Bon, Florian Yger, Jamal Atif |
| 2020 | ESANN | Frchet Mean Computation in Graph Space through Projected Block Gradient Descent. | Nicolas Boria, Benjamin Ngrevergne, Florian Yger |
| 2020 | MICCAI | Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images. | Jing Zhang, Caroline Petitjean, Florian Yger, Samia Ainouz |
| 2020 | SSPR | A Metric Learning Approach to Graph Edit Costs for Regression. | Linlin Jia, Benoit Gazre, Florian Yger, Paul Honeine |
| 2018 | UAI | Graph-based Clustering under Differential Privacy. | Rafael Pinot, Anne Morvan, Florian Yger, Cdric Gouy-Pailler, Jamal Atif |
| 2017 | ACML | Recognizing Art Style Automatically in Painting with Deep Learning. | Adrian Lecoutre, Benjamin Ngrevergne, Florian Yger |
| 2017 | ICDAR | Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario. | Jill-Jnn Vie, Florian Yger, Ryan Lahfa, Basile Clement, Kvin Cocchi, Thomas Chalumeau, Hisashi Kashima |
| 2017 | ICDM | Online Learning of Acyclic Conditional Preference Networks from Noisy Data. | Fabien Labernia, Bruno Zanuttini, Brice Mayag, Florian Yger, Jamal Atif |
| 2016 | ACML | Geometry-aware stationary subspace analysis. | Inbal Horev, Florian Yger, Masashi Sugiyama |
| 2016 | ACML | Multitask Principal Component Analysis. | Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama |
| 2015 | ACML | Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices. | Inbal Horev, Florian Yger, Masashi Sugiyama |
| 2012 | ICASSP | Oblique principal subspace tracking on manifold. | Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy |
| 2012 | ICML | Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. | Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy |
| 2011 | ESANN | Selecting from an infinite set of features in SVM. | Rmi Flamary, Florian Yger, Alain Rakotomamonjy |
| 2011 | ESANN | A supervised strategy for deep kernel machine. | Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy |
| 2010 | ICASSP | Large marginwavelet-based dictionary for signal classification. | Florian Yger, Alain Rakotomamonjy |