Mairal, Julien

70 publications

CVPR 2025 A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations Théo Bodrito, Olivier Flasseur, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange

TMLR 2025 Cluster and Predict Latents Patches for Improved Masked Image Modeling Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, Piotr Bojanowski

TMLR 2025 Counterfactual Learning of Stochastic Policies with Continuous Actions Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Pierre Gaillard, Julien Mairal

ICCV 2025 LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes Juliette Marrie, Romain Menegaux, Michael Arbel, Diane Larlus, Julien Mairal

NeurIPS 2025 MAP Estimation with Denoisers: Convergence Rates and Guarantees Scott Pesme, Giacomo Meanti, Michael Arbel, Julien Mairal

ICCV 2025 Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching Giacomo Meanti, Thomas Ryckeboer, Michael Arbel, Julien Mairal

TMLR 2024 DINOv2: Learning Robust Visual Features Without Supervision Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

NeurIPS 2024 Functional Bilevel Optimization for Machine Learning Ieva Petrulionyte, Julien Mairal, Michael Arbel

TMLR 2024 On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus

ICLR 2024 Vision Transformers Need Registers Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski

NeurIPS 2023 GloptiNets: Scalable Non-Convex Optimization with Certificates Gaspard Beugnot, Julien Mairal, Alessandro Rudi

CVPR 2023 SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal

TMLR 2023 Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers Romain Menegaux, Emmanuel Jehanno, Margot Selosse, Julien Mairal

CVPR 2023 Semi-Supervised Learning Made Simple with Self-Supervised Clustering Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci

ICML 2023 Sequential Counterfactual Risk Minimization Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard

AISTATS 2022 Efficient Kernelized UCB for Contextual Bandits Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard

ICLR 2022 Amortized Implicit Differentiation for Stochastic Bilevel Optimization Michael Arbel, Julien Mairal

NeurIPS 2022 Non-Convex Bilevel Games with Critical Point Selection Maps Michael Arbel, Julien Mairal

COLT 2022 On the Benefits of Large Learning Rates for Kernel Methods Gaspard Beugnot, Julien Mairal, Alessandro Rudi

CVPR 2022 Self-Supervised Models Are Continual Learners Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal

ICLR 2022 The Spectral Bias of Polynomial Neural Networks Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher

ICLR 2021 A Trainable Optimal Transport Embedding for Feature Aggregation and Its Relationship to Attention Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal

NeurIPS 2021 A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration Theo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal

NeurIPS 2021 Beyond Tikhonov: Faster Learning with Self-Concordant Losses, via Iterative Regularization Gaspard Beugnot, Julien Mairal, Alessandro Rudi

ICCV 2021 Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin

ICCV 2021 Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts Bruno Lecouat, Jean Ponce, Julien Mairal

NeurIPS 2020 A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding Bruno Lecouat, Jean Ponce, Julien Mairal

ICML 2020 Convolutional Kernel Networks for Graph-Structured Data Dexiong Chen, Laurent Jacob, Julien Mairal

JMLR 2020 Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise Andrei Kulunchakov, Julien Mairal

ECCV 2020 Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration Bruno Lecouat, Jean Ponce, Julien Mairal

AISTATS 2020 Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions Grégoire Mialon, Julien Mairal, Alexandre d’Aspremont

ECCV 2020 Selecting Relevant Features from a Multi-Domain Representation for Few-Shot Classification Nikita Dvornik, Cordelia Schmid, Julien Mairal

NeurIPS 2020 Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin

NeurIPS 2019 A Generic Acceleration Framework for Stochastic Composite Optimization Andrei Kulunchakov, Julien Mairal

ICML 2019 A Kernel Perspective for Regularizing Deep Neural Networks Alberto Bietti, Grégoire Mialon, Dexiong Chen, Julien Mairal

ICML 2019 Estimate Sequences for Variance-Reduced Stochastic Composite Optimization Andrei Kulunchakov, Julien Mairal

JMLR 2019 Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations Alberto Bietti, Julien Mairal

NeurIPS 2019 On the Inductive Bias of Neural Tangent Kernels Alberto Bietti, Julien Mairal

NeurIPS 2019 Recurrent Kernel Networks Dexiong Chen, Laurent Jacob, Julien Mairal

AISTATS 2018 Catalyst for Gradient-Based Nonconvex Optimization Courtney Paquette, Hongzhou Lin, Dmitriy Drusvyatskiy, Julien Mairal, Zaïd Harchaoui

ECCV 2018 Modeling Visual Context Is Key to Augmenting Object Detection Datasets Nikita Dvornik, Julien Mairal, Cordelia Schmid

NeurIPS 2018 Unsupervised Learning of Artistic Styles with Archetypal Style Analysis Daan Wynen, Cordelia Schmid, Julien Mairal

ICCV 2017 BlitzNet: A Real-Time Deep Network for Scene Understanding Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid

NeurIPS 2017 Invariance and Stability of Deep Convolutional Representations Alberto Bietti, Julien Mairal

NeurIPS 2017 Learning Neural Representations of Human Cognition Across Many fMRI Studies Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gael Varoquaux

NeurIPS 2017 Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure Alberto Bietti, Julien Mairal

ICML 2016 Dictionary Learning for Massive Matrix Factorization Arthur Mensch, Julien Mairal, Bertrand Thirion, Gael Varoquaux

NeurIPS 2016 End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Julien Mairal

NeurIPS 2015 A Universal Catalyst for First-Order Optimization Hongzhou Lin, Julien Mairal, Zaid Harchaoui

ICCV 2015 Local Convolutional Features with Unsupervised Training for Image Retrieval Mattis Paulin, Matthijs Douze, Zaid Harchaoui, Julien Mairal, Florent Perronin, Cordelia Schmid

NeurIPS 2014 Convolutional Kernel Networks Julien Mairal, Piotr Koniusz, Zaid Harchaoui, Cordelia Schmid

CVPR 2014 Fast and Robust Archetypal Analysis for Representation Learning Yuansi Chen, Julien Mairal, Zaid Harchaoui

CVPR 2014 Mixing Body-Part Sequences for Human Pose Estimation Anoop Cherian, Julien Mairal, Karteek Alahari, Cordelia Schmid

ICML 2014 On Learning to Localize Objects with Minimal Supervision Hyun Oh Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui, Trevor Darrell

ICML 2013 Optimization with First-Order Surrogate Functions Julien Mairal

NeurIPS 2013 Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization Julien Mairal

JMLR 2013 Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows Julien Mairal, Bin Yu

ICML 2012 Complexity Analysis of the Lasso Regularization Path Julien Mairal, Bin Yu

FnTML 2012 Optimization with Sparsity-Inducing Penalties Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski

JMLR 2011 Convex and Network Flow Optimization for Structured Sparsity Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis Bach

JMLR 2011 Proximal Methods for Hierarchical Sparse Coding Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis Bach

CVPR 2011 Sparse Image Representation with Epitomes Louise Benoît, Julien Mairal, Francis R. Bach, Jean Ponce

NeurIPS 2010 Network Flow Algorithms for Structured Sparsity Julien Mairal, Rodolphe Jenatton, Francis R. Bach, Guillaume R. Obozinski

JMLR 2010 Online Learning for Matrix Factorization and Sparse Coding Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro

ICML 2010 Proximal Methods for Sparse Hierarchical Dictionary Learning Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach

ICCV 2009 Non-Local Sparse Models for Image Restoration Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman

ICML 2009 Online Dictionary Learning for Sparse Coding Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro

CVPR 2008 Discriminative Learned Dictionaries for Local Image Analysis Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman

ECCV 2008 Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation Julien Mairal, Marius Leordeanu, Francis R. Bach, Martial Hebert, Jean Ponce

NeurIPS 2008 Supervised Dictionary Learning Julien Mairal, Jean Ponce, Guillermo Sapiro, Andrew Zisserman, Francis R. Bach