Canu, Stéphane

27 publications

ECML-PKDD 2024 A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint Jordan Patracone, Paul Viallard, Emilie Morvant, Gilles Gasso, Amaury Habrard, Stéphane Canu

ECML-PKDD 2024 Linear Modeling of the Adversarial Noise Space Jordan Patracone, Lucas Anquetil, Yuan Liu, Gilles Gasso, Stéphane Canu

ACML 2024 The Data-Driven Transferable Adversarial Space Yuan Liu, Stephane Canu

WACV 2023 Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part IV Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part V Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

ECML-PKDD 2022 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas

CVPRW 2020 A New Multimodal RGB and Polarimetric Image Dataset for Road Scenes Analysis Rachel Blin, Samia Ainouz, Stéphane Canu, Fabrice Mériaudeau

WACV 2020 Temporal Contrastive Pretraining for Video Action Recognition Guillaume Lorre, Jaonary Rabarisoa, Astrid Orcesi, Samia Ainouz, Stephane Canu

ECML-PKDD 2019 Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-Agent Reinforcement Learning Quentin Debard, Jilles Steeve Dibangoye, Stéphane Canu, Christian Wolf

JMLR 2016 Operator-Valued Kernels for Learning from Functional Response Data Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren

ECML-PKDD 2013 Socially Enabled Preference Learning from Implicit Feedback Data Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu

AISTATS 2010 Nonlinear Functional Regression: A Functional RKHS Approach Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Manuel Davy

JMLR 2008 SimpleMKL Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet

NeurIPS 2008 Support Vector Machines with a Reject Option Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu

JMLR 2007 Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" Gaëlle Loosli, Stéphane Canu

ICML 2007 More Efficiency in Multiple Kernel Learning Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet

JMLR 2005 Frames, Reproducing Kernels, Regularization and Learning Alain Rakotomamonjy, Stéphane Canu

ICML 2005 Heteroscedastic Gaussian Process Regression Quoc V. Le, Alexander J. Smola, Stéphane Canu

ECML-PKDD 2005 Kernel Basis Pursuit Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu

ICML 2004 Learning with Non-Positive Kernels Cheng Soon Ong, Xavier Mary, Stéphane Canu, Alexander J. Smola

NeurIPS 2002 Adaptive Scaling for Feature Selection in SVMs Yves Grandvalet, Stéphane Canu

NeurIPS 1998 Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage Yves Grandvalet, Stéphane Canu

NeCo 1997 Noise Injection: Theoretical Prospects Yves Grandvalet, Stéphane Canu, Stéphane Boucheron