Julien Mairal

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 125

Top Venues

Publications

Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus
On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models. Trans. Mach. Learn. Res. 2024 (2024)
Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
Fast Semi-supervised Unmixing using Non-convex Optimization. CoRR (2024)
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, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 2024 (2024)
Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Ieva Petrulionyte, Julien Mairal, Michael Arbel
Functional Bilevel Optimization for Machine Learning. CoRR (2024)
Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus
On Good Practices for Task-Specific Distillation of Large Pretrained Models. CoRR (2024)
Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
Vision Transformers Need Registers. ICLR (2024)
Nassim Ait Ali Braham, Julien Mairal, Jocelyn Chanussot, Lichao Mou, Xiaoxiang Zhu
Enhancing Contrastive Learning With Positive Pair Mining for Few-Shot Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
GloptiNets: Scalable Non-Convex Optimization with Certificates. CoRR (2023)
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
DINOv2: Learning Robust Visual Features without Supervision. CoRR (2023)
Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package. CoRR (2023)
Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization. CoRR (2023)
Olivier Flasseur, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange
Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast. CoRR (2023)
Bruno Lecouat, Yann Dubois de Mont-Marin, Théo Bodrito, Julien Mairal, Jean Ponce
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation. CoRR (2023)
Romain Menegaux, Emmanuel Jehanno, Margot Selosse, Julien Mairal
Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers. Trans. Mach. Learn. Res. 2023 (2023)
Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
Semi-supervised learning made simple with self-supervised clustering. CVPR (2023)
Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
Semi-supervised learning made simple with self-supervised clustering. CoRR (2023)
Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
SUnAA: Sparse Unmixing using Archetypal Analysis. CoRR (2023)
Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
Sequential Counterfactual Risk Minimization. CoRR (2023)
Alexandre Araujo, Jean Ponce, Julien Mairal
Towards Real-World Focus Stacking with Deep Learning. CoRR (2023)
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
Learning Reward Functions for Robotic Manipulation by Observing Humans. ICRA (2023)
Alexandre Zouaoui, Gedeon Muhawenayo, Behnood Rasti, Jocelyn Chanussot, Julien Mairal
Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing. IEEE Trans. Image Process. 32 (2023)
Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
SUnAA: Sparse Unmixing Using Archetypal Analysis. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
Hysupp: An Open-Source Hyperspectral Unmixing Python Package. IGARSS (2023)
Romain Menegaux, Emmanuel Jehanno, Margot Selosse, Julien Mairal
Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers. CoRR (2023)
Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal
SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization. CVPR (2023)
Olivier Flasseur, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange
Combining Multi-Spectral Data With Statistical and Deep-Learning Models for Improved Exoplanet Detection in Direct Imaging at High Contrast. EUSIPCO (2023)
Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
Vision Transformers Need Registers. CoRR (2023)
Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
Sequential Counterfactual Risk Minimization. ICML (2023)
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
GloptiNets: Scalable Non-Convex Optimization with Certificates. NeurIPS (2023)
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
Efficient Kernel UCB for Contextual Bandits. CoRR (2022)
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
The Spectral Bias of Polynomial Neural Networks. ICLR (2022)
Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal
High Dynamic Range and Super-Resolution from Raw Image Bursts. CoRR (2022)
Alexandre Zouaoui, Gedeon Muhawenayo, Behnood Rasti, Jocelyn Chanussot, Julien Mairal
Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing. CoRR (2022)
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
Efficient Kernelized UCB for Contextual Bandits. AISTATS (2022)
Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu
Self Supervised Learning for Few Shot Hyperspectral Image Classification. IGARSS (2022)
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
On the Benefits of Large Learning Rates for Kernel Methods. COLT (2022)
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
Self-Supervised Models are Continual Learners. CVPR (2022)
Michael Arbel, Julien Mairal
Amortized Implicit Differentiation for Stochastic Bilevel Optimization. ICLR (2022)
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
The Spectral Bias of Polynomial Neural Networks. CoRR (2022)
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
Learning Reward Functions for Robotic Manipulation by Observing Humans. CoRR (2022)
Michael Arbel, Julien Mairal
Non-Convex Bilevel Games with Critical Point Selection Maps. NeurIPS (2022)
Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal
High dynamic range and super-resolution from raw image bursts. ACM Trans. Graph. 41 (4) (2022)
Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu
Self Supervised Learning for Few Shot Hyperspectral Image Classification. CoRR (2022)
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
On the Benefits of Large Learning Rates for Kernel Methods. CoRR (2022)
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization. NeurIPS (2021)
Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention. ICLR (2021)
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
Emerging Properties in Self-Supervised Vision Transformers. ICCV (2021)
Bruno Lecouat, Jean Ponce, Julien Mairal
Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts. ICCV (2021)
Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CoRR (2021)
Michael Arbel, Julien Mairal
Amortized Implicit Differentiation for Stochastic Bilevel Optimization. CoRR (2021)
Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration. CoRR (2021)
Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
Extracting representations of cognition across neuroimaging studies improves brain decoding. PLoS Comput. Biol. 17 (5) (2021)
Nikita Dvornik, Julien Mairal, Cordelia Schmid
On the Importance of Visual Context for Data Augmentation in Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 43 (6) (2021)
Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
Self-Supervised Models are Continual Learners. CoRR (2021)
Grégoire Mialon, Dexiong Chen, Margot Selosse, Julien Mairal
GraphiT: Encoding Graph Structure in Transformers. CoRR (2021)
Gaspard Beugnot, Julien Mairal, Alessandro Rudi
Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization. CoRR (2021)
Bruno Lecouat, Jean Ponce, Julien Mairal
Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts. CoRR (2021)
Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration. NeurIPS (2021)
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
Emerging Properties in Self-Supervised Vision Transformers. CoRR (2021)
Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
Residual Reinforcement Learning from Demonstrations. CoRR (2021)
Grégoire Mialon, Julien Mairal, Alexandre d'Aspremont
Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions. AISTATS (2020)
Bruno Lecouat, Jean Ponce, Julien Mairal
Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration. ECCV (22) (2020)
Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal
Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions. CoRR (2020)
Dexiong Chen, Laurent Jacob, Julien Mairal
Convolutional Kernel Networks for Graph-Structured Data. CoRR (2020)
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR (2020)
Nikita Dvornik, Cordelia Schmid, Julien Mairal
Selecting Relevant Features from a Universal Representation for Few-shot Classification. CoRR (2020)
Dexiong Chen, Laurent Jacob, Julien Mairal
Convolutional Kernel Networks for Graph-Structured Data. ICML (2020)
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS (2020)
Bruno Lecouat, Jean Ponce, Julien Mairal
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding. NeurIPS (2020)
Andrei Kulunchakov, Julien Mairal
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise. J. Mach. Learn. Res. 21 (2020)
Bruno Lecouat, Jean Ponce, Julien Mairal
Designing and Learning Trainable Priors with Non-Cooperative Games. CoRR (2020)
Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention. CoRR (2020)
Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin
Pruning Convolutional Neural Networks with Self-Supervision. CoRR (2020)
Nikita Dvornik, Cordelia Schmid, Julien Mairal
Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification. ECCV (10) (2020)
Dexiong Chen, Laurent Jacob, Julien Mairal
Recurrent Kernel Networks. NeurIPS (2019)
Alberto Bietti, Julien Mairal
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations. J. Mach. Learn. Res. 20 (2019)
Alberto Bietti, Grégoire Mialon, Dexiong Chen, Julien Mairal
A Kernel Perspective for Regularizing Deep Neural Networks. ICML (2019)
Andrei Kulunchakov, Julien Mairal
Estimate Sequences for Variance-Reduced Stochastic Composite Optimization. ICML (2019)
Dexiong Chen, Laurent Jacob, Julien Mairal
Biological Sequence Modeling with Convolutional Kernel Networks. RECOMB (2019)
Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
Unsupervised Pre-Training of Image Features on Non-Curated Data. ICCV (2019)
Dexiong Chen, Laurent Jacob, Julien Mairal
Recurrent Kernel Networks. CoRR (2019)
Nikita Dvornik, Julien Mairal, Cordelia Schmid
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification. ICCV (2019)
Julien Mairal
Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more. CoRR (2019)
Nikita Dvornik, Cordelia Schmid, Julien Mairal
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification. CoRR (2019)
Grégoire Mialon, Alexandre d'Aspremont, Julien Mairal
Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function. CoRR (2019)
Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. CoRR (2019)
Dexiong Chen, Laurent Jacob, Julien Mairal
Biological sequence modeling with convolutional kernel networks. Bioinform. 35 (18) (2019)
Bruno Lecouat, Jean Ponce, Julien Mairal
Revisiting Non Local Sparse Models for Image Restoration. CoRR (2019)
Hongzhou Lin, Julien Mairal, Zaïd Harchaoui
An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration. SIAM J. Optim. 29 (2) (2019)
Alberto Bietti, Julien Mairal
On the Inductive Bias of Neural Tangent Kernels. NeurIPS (2019)
Andrei Kulunchakov, Julien Mairal
Estimate Sequences for Variance-Reduced Stochastic Composite Optimization. CoRR (2019)
Andrei Kulunchakov, Julien Mairal
A Generic Acceleration Framework for Stochastic Composite Optimization. NeurIPS (2019)
Andrei Kulunchakov, Julien Mairal
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise. CoRR (2019)
Alberto Bietti, Julien Mairal
On the Inductive Bias of Neural Tangent Kernels. CoRR (2019)
Andrei Kulunchakov, Julien Mairal
A Generic Acceleration Framework for Stochastic Composite Optimization. CoRR (2019)
Alberto Bietti, Grégoire Mialon, Julien Mairal
On Regularization and Robustness of Deep Neural Networks. CoRR (2018)
Nikita Dvornik, Julien Mairal, Cordelia Schmid
On the Importance of Visual Context for Data Augmentation in Scene Understanding. CoRR (2018)
Daan Wynen, Cordelia Schmid, Julien Mairal
Unsupervised Learning of Artistic Styles with Archetypal Style Analysis. CoRR (2018)
Courtney Paquette, Hongzhou Lin, Dmitriy Drusvyatskiy, Julien Mairal, Zaïd Harchaoui
Catalyst for Gradient-based Nonconvex Optimization. AISTATS (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Julien Mairal