| 2025 | CVPR | A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations. | Tho Bodrito, Olivier Flasseur, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange |
| 2025 | ICCV | LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes. | Juliette Marrie, Romain Menegaux, Michael Arbel, Diane Larlus, Julien Mairal |
| 2025 | ICCV | Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching. | Giacomo Meanti, Thomas Ryckeboer, Michael Arbel, Julien Mairal |
| 2024 | ICLR | Vision Transformers Need Registers. | Timothe Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski |
| 2023 | CVPR | Semi-supervised learning made simple with self-supervised clustering. | Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci |
| 2023 | CVPR | SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization. | Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal |
| 2023 | ICML | Sequential Counterfactual Risk Minimization. | Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard |
| 2023 | IGARSS | Hysupp: An Open-Source Hyperspectral Unmixing Python Package. | Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot |
| 2023 | ICRA | Learning Reward Functions for Robotic Manipulation by Observing Humans. | Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid |
| 2022 | AISTATS | Efficient Kernelized UCB for Contextual Bandits. | Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard |
| 2022 | COLT | On the Benefits of Large Learning Rates for Kernel Methods. | Gaspard Beugnot, Julien Mairal, Alessandro Rudi |
| 2022 | CVPR | Self-Supervised Models are Continual Learners. | Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal |
| 2022 | ICLR | Amortized Implicit Differentiation for Stochastic Bilevel Optimization. | Michael Arbel, Julien Mairal |
| 2022 | ICLR | The Spectral Bias of Polynomial Neural Networks. | Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher |
| 2022 | IGARSS | Self Supervised Learning for Few Shot Hyperspectral Image Classification. | Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu |
| 2021 | ICCV | Emerging Properties in Self-Supervised Vision Transformers. | Mathilde Caron, Hugo Touvron, Ishan Misra, Herv Jgou, Julien Mairal, Piotr Bojanowski, Armand Joulin |
| 2021 | ICCV | Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts. | Bruno Lecouat, Jean Ponce, Julien Mairal |
| 2021 | ICLR | A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention. | Grgoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal |
| 2020 | AISTATS | Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions. | Grgoire Mialon, Julien Mairal, Alexandre d'Aspremont |
| 2020 | ECCV | Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification. | Nikita Dvornik, Cordelia Schmid, Julien Mairal |
| 2020 | ECCV | Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration. | Bruno Lecouat, Jean Ponce, Julien Mairal |
| 2020 | ICML | Convolutional Kernel Networks for Graph-Structured Data. | Dexiong Chen, Laurent Jacob, Julien Mairal |
| 2019 | ICCV | Unsupervised Pre-Training of Image Features on Non-Curated Data. | Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin |
| 2019 | ICCV | Diversity With Cooperation: Ensemble Methods for Few-Shot Classification. | Nikita Dvornik, Julien Mairal, Cordelia Schmid |
| 2019 | ICML | A Kernel Perspective for Regularizing Deep Neural Networks. | Alberto Bietti, Grgoire Mialon, Dexiong Chen, Julien Mairal |
| 2019 | ICML | Estimate Sequences for Variance-Reduced Stochastic Composite Optimization. | Andrei Kulunchakov, Julien Mairal |
| 2019 | RECOMB | Biological Sequence Modeling with Convolutional Kernel Networks. | Dexiong Chen, Laurent Jacob, Julien Mairal |
| 2018 | AISTATS | Catalyst for Gradient-based Nonconvex Optimization. | Courtney Paquette, Hongzhou Lin, Dmitriy Drusvyatskiy, Julien Mairal, Zad Harchaoui |
| 2018 | ECCV | Modeling Visual Context Is Key to Augmenting Object Detection Datasets. | Nikita Dvornik, Julien Mairal, Cordelia Schmid |
| 2017 | ICCV | BlitzNet: A Real-Time Deep Network for Scene Understanding. | Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid |
| 2016 | ICASSP | Dictionary learning from phaseless measurements. | Andreas M. Tillmann, Yonina C. Eldar, Julien Mairal |
| 2016 | ICML | Dictionary Learning for Massive Matrix Factorization. | Arthur Mensch, Julien Mairal, Bertrand Thirion, Gal Varoquaux |
| 2015 | ICCV | Local Convolutional Features with Unsupervised Training for Image Retrieval. | Mattis Paulin, Matthijs Douze, Zad Harchaoui, Julien Mairal, Florent Perronnin, Cordelia Schmid |
| 2014 | CVPR | Fast and Robust Archetypal Analysis for Representation Learning. | Yuansi Chen, Julien Mairal, Zad Harchaoui |
| 2014 | CVPR | Mixing Body-Part Sequences for Human Pose Estimation. | Anoop Cherian, Julien Mairal, Karteek Alahari, Cordelia Schmid |
| 2014 | ICML | On learning to localize objects with minimal supervision. | Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zad Harchaoui, Trevor Darrell |
| 2013 | EMNLP | Structured Penalties for Log-Linear Language Models. | Anil Kumar Nelakanti, Cdric Archambeau, Julien Mairal, Francis R. Bach, Guillaume Bouchard |
| 2013 | ICML | Optimization with First-Order Surrogate Functions. | Julien Mairal |
| 2012 | ICML | Complexity Analysis of the Lasso Regularization Path. | Julien Mairal, Bin Yu |
| 2011 | CVPR | Sparse image representation with epitomes. | Louise Benot, Julien Mairal, Francis R. Bach, Jean Ponce |
| 2010 | ICML | Proximal Methods for Sparse Hierarchical Dictionary Learning. | Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach |
| 2009 | ICCV | Non-local sparse models for image restoration. | Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman |
| 2009 | ICML | Online dictionary learning for sparse coding. | Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro |
| 2008 | CVPR | Discriminative learned dictionaries for local image analysis. | Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman |
| 2008 | ECCV | Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. | Julien Mairal, Marius Leordeanu, Francis R. Bach, Martial Hebert, Jean Ponce |
| 2007 | ICIP | Multiscale Sparse Image Representationwith Learned Dictionaries. | Julien Mairal, Guillermo Sapiro, Michael Elad |