Julien Mairal - RankMe

198 papers A* 42A 3B 1C 2Misc 1Journal 131Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Non-Stationary Functional Bilevel Optimization. CoRR Jason Bohne, Ieva Petrulionyte, Michael Arbel, Julien Mairal, Pawel Polak
2025	A*	`conf`	A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations. CVPR Théo Bodrito, Olivier Flasseur, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange
2025	J	`jnl`	A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations. CoRR Théo Bodrito, Olivier Flasseur, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange
2025	J	`jnl`	Challenges in Non-Polymeric Crystal Structure Prediction: Why a Geometric, Permutation-Invariant Loss is Needed. CoRR Emmanuel Jehanno, Romain Menegaux, Julien Mairal, Sergei Grudinin
2025	J	`jnl`	Cluster and Predict Latent Patches for Improved Masked Image Modeling. CoRR Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, Piotr Bojanowski
2025	J	`jnl`	Cluster and Predict Latents Patches for Improved Masked Image Modeling. Trans. Mach. Learn. Res. Timothée Darcet, Federico Baldassarre, Maxime Oquab, Julien Mairal, Piotr Bojanowski
2025	J	`jnl`	Counterfactual Learning of Stochastic Policies with Continuous Actions. Trans. Mach. Learn. Res. Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Pierre Gaillard, Julien Mairal
2025	J	`jnl`	DINOv3. CoRR Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seung Eun Yi, Michaël Ramamonjisoa, Francisco Massa, Daniel Haziza, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
2025	J	`jnl`	Deep learning for exoplanet detection and characterization by direct imaging at high contrast. CoRR Théo Bodrito, Olivier Flasseur, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange
2025	J	`jnl`	MAP Estimation with Denoisers: Convergence Rates and Guarantees. CoRR Scott Pesme, Giacomo Meanti, Michael Arbel, Julien Mairal
2025	J	`jnl`	MicroFlow: Domain-Specific Optical Flow for Ground Deformation Estimation in Seismic Events. CoRR Juliette Bertrand, Sophie Giffard-Roisin, James Hollingsworth, Julien Mairal
2025	J	`jnl`	Optimal transport unlocks end-to-end learning for single-molecule localization. CoRR Romain Seailles, Jean-Baptiste Masson, Jean Ponce, Julien Mairal
2025	J	`jnl`	SpectralEarth: Training Hyperspectral Foundation Models at Scale. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu
2025	J	`jnl`	Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching. CoRR Giacomo Meanti, Thomas Ryckeboer, Michael Arbel, Julien Mairal
2024	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 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
2024	J	`jnl`	Enhancing Contrastive Learning With Positive Pair Mining for Few-Shot Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nassim Ait Ali Braham, Julien Mairal, Jocelyn Chanussot, Lichao Mou, Xiao Xiang Zhu
2024	J	`jnl`	Fast Semi-supervised Unmixing using Non-convex Optimization. CoRR Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
2024	J	`jnl`	Fast Semisupervised Unmixing Using Nonconvex Optimization. IEEE Trans. Geosci. Remote. Sens. Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
2024	A*	`conf`	Functional Bilevel Optimization for Machine Learning. NeurIPS Ieva Petrulionyte, Julien Mairal, Michael Arbel
2024	J	`jnl`	Functional Bilevel Optimization for Machine Learning. CoRR Ieva Petrulionyte, Julien Mairal, Michael Arbel
2024	J	`jnl`	Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package. IEEE Trans. Geosci. Remote. Sens. Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
2024	J	`jnl`	LUDVIG: Learning-free Uplifting of 2D Visual features to Gaussian Splatting scenes. CoRR Juliette Marrie, Romain Menegaux, Michael Arbel, Diane Larlus, Julien Mairal
2024	J	`jnl`	MODEL&CO: Exoplanet detection in angular differential imaging by learning across multiple observations. CoRR Théo Bodrito, Olivier Flasseur, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange
2024	J	`jnl`	On Good Practices for Task-Specific Distillation of Large Pretrained Models. CoRR Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus
2024	J	`jnl`	On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models. Trans. Mach. Learn. Res. Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus
2024	J	`jnl`	SpectralEarth: Training Hyperspectral Foundation Models at Scale. CoRR Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu
2024	A*	`conf`	Vision Transformers Need Registers. ICLR Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
2023	—	`conf`	Combining Multi-Spectral Data With Statistical and Deep-Learning Models for Improved Exoplanet Detection in Direct Imaging at High Contrast. EUSIPCO Olivier Flasseur, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange
2023	J	`jnl`	Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast. CoRR Olivier Flasseur, Théo Bodrito, Julien Mairal, Jean Ponce, Maud Langlois, Anne-Marie Lagrange
2023	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. CoRR Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. 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
2023	J	`jnl`	Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing. IEEE Trans. Image Process. Alexandre Zouaoui, Gedeon Muhawenayo, Behnood Rasti, Jocelyn Chanussot, Julien Mairal
2023	J	`jnl`	Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation. CoRR Bruno Lecouat, Yann Dubois de Mont-Marin, Théo Bodrito, Julien Mairal, Jean Ponce
2023	A*	`conf`	GloptiNets: Scalable Non-Convex Optimization with Certificates. NeurIPS Gaspard Beugnot, Julien Mairal, Alessandro Rudi
2023	J	`jnl`	GloptiNets: Scalable Non-Convex Optimization with Certificates. CoRR Gaspard Beugnot, Julien Mairal, Alessandro Rudi
2023	C	`conf`	Hysupp: An Open-Source Hyperspectral Unmixing Python Package. IGARSS Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
2023	J	`jnl`	Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package. CoRR Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
2023	A*	`conf`	Learning Reward Functions for Robotic Manipulation by Observing Humans. ICRA Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
2023	A*	`conf`	SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization. CVPR Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal
2023	J	`jnl`	SLACK: Stable Learning of Augmentations with Cold-start and KL regularization. CoRR Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal
2023	J	`jnl`	SUnAA: Sparse Unmixing Using Archetypal Analysis. IEEE Geosci. Remote. Sens. Lett. Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
2023	J	`jnl`	SUnAA: Sparse Unmixing using Archetypal Analysis. CoRR Behnood Rasti, Alexandre Zouaoui, Julien Mairal, Jocelyn Chanussot
2023	J	`jnl`	Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers. CoRR Romain Menegaux, Emmanuel Jehanno, Margot Selosse, Julien Mairal
2023	J	`jnl`	Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers. Trans. Mach. Learn. Res. Romain Menegaux, Emmanuel Jehanno, Margot Selosse, Julien Mairal
2023	A*	`conf`	Semi-supervised learning made simple with self-supervised clustering. CVPR Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
2023	J	`jnl`	Semi-supervised learning made simple with self-supervised clustering. CoRR Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
2023	A*	`conf`	Sequential Counterfactual Risk Minimization. ICML Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
2023	J	`jnl`	Sequential Counterfactual Risk Minimization. CoRR Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
2023	J	`jnl`	Towards Real-World Focus Stacking with Deep Learning. CoRR Alexandre Araujo, Jean Ponce, Julien Mairal
2023	J	`jnl`	Vision Transformers Need Registers. CoRR Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
2022	A*	`conf`	Amortized Implicit Differentiation for Stochastic Bilevel Optimization. ICLR Michael Arbel, Julien Mairal
2022	J	`jnl`	Efficient Kernel UCB for Contextual Bandits. CoRR Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
2022	A	`conf`	Efficient Kernelized UCB for Contextual Bandits. AISTATS Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
2022	J	`jnl`	Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing. CoRR Alexandre Zouaoui, Gedeon Muhawenayo, Behnood Rasti, Jocelyn Chanussot, Julien Mairal
2022	J	`jnl`	High Dynamic Range and Super-Resolution from Raw Image Bursts. CoRR Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal
2022	J	`jnl`	High dynamic range and super-resolution from raw image bursts. ACM Trans. Graph. Bruno Lecouat, Thomas Eboli, Jean Ponce, Julien Mairal
2022	J	`jnl`	Learning Reward Functions for Robotic Manipulation by Observing Humans. CoRR Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
2022	A*	`conf`	Non-Convex Bilevel Games with Critical Point Selection Maps. NeurIPS Michael Arbel, Julien Mairal
2022	A*	`conf`	On the Benefits of Large Learning Rates for Kernel Methods. COLT Gaspard Beugnot, Julien Mairal, Alessandro Rudi
2022	J	`jnl`	On the Benefits of Large Learning Rates for Kernel Methods. CoRR Gaspard Beugnot, Julien Mairal, Alessandro Rudi
2022	C	`conf`	Self Supervised Learning for Few Shot Hyperspectral Image Classification. IGARSS Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu
2022	J	`jnl`	Self Supervised Learning for Few Shot Hyperspectral Image Classification. CoRR Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu
2022	A*	`conf`	Self-Supervised Models are Continual Learners. CVPR Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
2022	A*	`conf`	The Spectral Bias of Polynomial Neural Networks. ICLR Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
2022	J	`jnl`	The Spectral Bias of Polynomial Neural Networks. CoRR Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
2021	A*	`conf`	A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention. ICLR Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
2021	A*	`conf`	A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration. NeurIPS Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal
2021	J	`jnl`	A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration. CoRR Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot, Julien Mairal
2021	J	`jnl`	Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts. CoRR Bruno Lecouat, Jean Ponce, Julien Mairal
2021	J	`jnl`	Amortized Implicit Differentiation for Stochastic Bilevel Optimization. CoRR Michael Arbel, Julien Mairal
2021	J	`jnl`	Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization. CoRR Gaspard Beugnot, Julien Mairal, Alessandro Rudi
2021	A*	`conf`	Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization. NeurIPS Gaspard Beugnot, Julien Mairal, Alessandro Rudi
2021	A*	`conf`	Emerging Properties in Self-Supervised Vision Transformers. ICCV Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
2021	J	`jnl`	Emerging Properties in Self-Supervised Vision Transformers. CoRR Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
2021	J	`jnl`	Extracting representations of cognition across neuroimaging studies improves brain decoding. PLoS Comput. Biol. Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
2021	J	`jnl`	GraphiT: Encoding Graph Structure in Transformers. CoRR Grégoire Mialon, Dexiong Chen, Margot Selosse, Julien Mairal
2021	A*	`conf`	Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts. ICCV Bruno Lecouat, Jean Ponce, Julien Mairal
2021	J	`jnl`	NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CoRR 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
2021	J	`jnl`	On the Importance of Visual Context for Data Augmentation in Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Nikita Dvornik, Julien Mairal, Cordelia Schmid
2021	J	`jnl`	Residual Reinforcement Learning from Demonstrations. CoRR Minttu Alakuijala, Gabriel Dulac-Arnold, Julien Mairal, Jean Ponce, Cordelia Schmid
2021	J	`jnl`	Self-Supervised Models are Continual Learners. CoRR Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal
2020	A*	`conf`	A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding. NeurIPS Bruno Lecouat, Jean Ponce, Julien Mairal
2020	J	`jnl`	An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention. CoRR Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
2020	A*	`conf`	Convolutional Kernel Networks for Graph-Structured Data. ICML Dexiong Chen, Laurent Jacob, Julien Mairal
2020	J	`jnl`	Convolutional Kernel Networks for Graph-Structured Data. CoRR Dexiong Chen, Laurent Jacob, Julien Mairal
2020	J	`jnl`	Designing and Learning Trainable Priors with Non-Cooperative Games. CoRR Bruno Lecouat, Jean Ponce, Julien Mairal
2020	J	`jnl`	Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise. J. Mach. Learn. Res. Andrei Kulunchakov, Julien Mairal
2020	—	`conf`	Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration. ECCV (22) Bruno Lecouat, Jean Ponce, Julien Mairal
2020	J	`jnl`	Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions. CoRR Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Julien Mairal
2020	J	`jnl`	Pruning Convolutional Neural Networks with Self-Supervision. CoRR Mathilde Caron, Ari Morcos, Piotr Bojanowski, Julien Mairal, Armand Joulin
2020	A	`conf`	Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions. AISTATS Grégoire Mialon, Julien Mairal, Alexandre d'Aspremont
2020	—	`conf`	Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification. ECCV (10) Nikita Dvornik, Cordelia Schmid, Julien Mairal
2020	J	`jnl`	Selecting Relevant Features from a Universal Representation for Few-shot Classification. CoRR Nikita Dvornik, Cordelia Schmid, Julien Mairal
2020	A*	`conf`	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. NeurIPS Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
2020	J	`jnl`	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments. CoRR Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, Armand Joulin
2019	A*	`conf`	A Generic Acceleration Framework for Stochastic Composite Optimization. NeurIPS Andrei Kulunchakov, Julien Mairal
2019	J	`jnl`	A Generic Acceleration Framework for Stochastic Composite Optimization. CoRR Andrei Kulunchakov, Julien Mairal
2019	A*	`conf`	A Kernel Perspective for Regularizing Deep Neural Networks. ICML Alberto Bietti, Grégoire Mialon, Dexiong Chen, Julien Mairal
2019	J	`jnl`	An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration. SIAM J. Optim. Hongzhou Lin, Julien Mairal, Zaïd Harchaoui
2019	B	`conf`	Biological Sequence Modeling with Convolutional Kernel Networks. RECOMB Dexiong Chen, Laurent Jacob, Julien Mairal
2019	J	`jnl`	Biological sequence modeling with convolutional kernel networks. Bioinform. Dexiong Chen, Laurent Jacob, Julien Mairal
2019	J	`jnl`	Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more. CoRR Julien Mairal
2019	A*	`conf`	Diversity With Cooperation: Ensemble Methods for Few-Shot Classification. ICCV Nikita Dvornik, Julien Mairal, Cordelia Schmid
2019	J	`jnl`	Diversity with Cooperation: Ensemble Methods for Few-Shot Classification. CoRR Nikita Dvornik, Cordelia Schmid, Julien Mairal
2019	J	`jnl`	Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise. CoRR Andrei Kulunchakov, Julien Mairal
2019	A*	`conf`	Estimate Sequences for Variance-Reduced Stochastic Composite Optimization. ICML Andrei Kulunchakov, Julien Mairal
2019	J	`jnl`	Estimate Sequences for Variance-Reduced Stochastic Composite Optimization. CoRR Andrei Kulunchakov, Julien Mairal
2019	J	`jnl`	Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations. J. Mach. Learn. Res. Alberto Bietti, Julien Mairal
2019	J	`jnl`	Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features. CoRR Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
2019	A*	`conf`	On the Inductive Bias of Neural Tangent Kernels. NeurIPS Alberto Bietti, Julien Mairal
2019	J	`jnl`	On the Inductive Bias of Neural Tangent Kernels. CoRR Alberto Bietti, Julien Mairal
2019	A*	`conf`	Recurrent Kernel Networks. NeurIPS Dexiong Chen, Laurent Jacob, Julien Mairal
2019	J	`jnl`	Recurrent Kernel Networks. CoRR Dexiong Chen, Laurent Jacob, Julien Mairal
2019	J	`jnl`	Revisiting Non Local Sparse Models for Image Restoration. CoRR Bruno Lecouat, Jean Ponce, Julien Mairal
2019	J	`jnl`	Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function. CoRR Grégoire Mialon, Alexandre d'Aspremont, Julien Mairal
2019	A*	`conf`	Unsupervised Pre-Training of Image Features on Non-Curated Data. ICCV Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin
2018	A	`conf`	Catalyst for Gradient-based Nonconvex Optimization. AISTATS Courtney Paquette, Hongzhou Lin, Dmitriy Drusvyatskiy, Julien Mairal, Zaïd Harchaoui
2018	J	`jnl`	Extracting Universal Representations of Cognition across Brain-Imaging Studies. CoRR Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
2018	—	`conf`	Modeling Visual Context Is Key to Augmenting Object Detection Datasets. ECCV (12) Nikita Dvornik, Julien Mairal, Cordelia Schmid
2018	J	`jnl`	Modeling Visual Context is Key to Augmenting Object Detection Datasets. CoRR Nikita Dvornik, Julien Mairal, Cordelia Schmid
2018	J	`jnl`	On Regularization and Robustness of Deep Neural Networks. CoRR Alberto Bietti, Grégoire Mialon, Julien Mairal
2018	J	`jnl`	On the Importance of Visual Context for Data Augmentation in Scene Understanding. CoRR Nikita Dvornik, Julien Mairal, Cordelia Schmid
2018	J	`jnl`	Stochastic Subsampling for Factorizing Huge Matrices. IEEE Trans. Signal Process. Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
2018	A*	`conf`	Unsupervised Learning of Artistic Styles with Archetypal Style Analysis. NeurIPS Daan Wynen, Cordelia Schmid, Julien Mairal
2018	J	`jnl`	Unsupervised Learning of Artistic Styles with Archetypal Style Analysis. CoRR Daan Wynen, Cordelia Schmid, Julien Mairal
2017	A*	`conf`	BlitzNet: A Real-Time Deep Network for Scene Understanding. ICCV Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid
2017	J	`jnl`	BlitzNet: A Real-Time Deep Network for Scene Understanding. CoRR Nikita Dvornik, Konstantin Shmelkov, Julien Mairal, Cordelia Schmid
2017	J	`jnl`	Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice. J. Mach. Learn. Res. Hongzhou Lin, Julien Mairal, Zaïd Harchaoui
2017	J	`jnl`	Convolutional Patch Representations for Image Retrieval: An Unsupervised Approach. Int. J. Comput. Vis. Mattis Paulin, Julien Mairal, Matthijs Douze, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid
2017	J	`jnl`	Group Invariance and Stability to Deformations of Deep Convolutional Representations. CoRR Alberto Bietti, Julien Mairal
2017	—	`conf`	Invariance and Stability of Deep Convolutional Representations. NIPS Alberto Bietti, Julien Mairal
2017	—	`book`	Large-Scale Machine Learning and Applications. (Apprentissage à grande échelle et applications). Julien Mairal
2017	—	`conf`	Learning Neural Representations of Human Cognition across Many fMRI Studies. NIPS Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux
2017	J	`jnl`	Learning Neural Representations of Human Cognition across Many fMRI Studies. CoRR Arthur Mensch, Julien Mairal, Danilo Bzdok, Bertrand Thirion, Gaël Varoquaux
2017	—	`conf`	Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure. NIPS Alberto Bietti, Julien Mairal
2017	J	`jnl`	Stochastic Subsampling for Factorizing Huge Matrices. CoRR Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
2017	J	`jnl`	Subsampling Enables Fast Factorisation of Huge Matrices into Sparse Signals. ERCIM News Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
2016	J	`jnl`	Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach. CoRR Mattis Paulin, Julien Mairal, Matthijs Douze, Zaïd Harchaoui, Florent Perronnin, Cordelia Schmid
2016	J	`jnl`	DOLPHIn - Dictionary Learning for Phase Retrieval. CoRR Andreas M. Tillmann, Yonina C. Eldar, Julien Mairal
2016	J	`jnl`	DOLPHIn - Dictionary Learning for Phase Retrieval. IEEE Trans. Signal Process. Andreas M. Tillmann, Yonina C. Eldar, Julien Mairal
2016	A*	`conf`	Dictionary Learning for Massive Matrix Factorization. ICML Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
2016	J	`jnl`	Dictionary Learning for Massive Matrix Factorization. CoRR Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
2016	Misc	`conf`	Dictionary learning from phaseless measurements. ICASSP Andreas M. Tillmann, Yonina C. Eldar, Julien Mairal
2016	—	`conf`	End-to-End Kernel Learning with Supervised Convolutional Kernel Networks. NIPS Julien Mairal
2016	J	`jnl`	End-to-End Kernel Learning with Supervised Convolutional Kernel Networks. CoRR Julien Mairal
2016	J	`jnl`	Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure. CoRR Alberto Bietti, Julien Mairal
2015	—	`conf`	A Universal Catalyst for First-Order Optimization. NIPS Hongzhou Lin, Julien Mairal, Zaïd Harchaoui
2015	J	`jnl`	A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples. BMC Bioinform. Elsa Bernard, Laurent Jacob, Julien Mairal, Eric Viara, Jean-Philippe Vert
2015	J	`jnl`	Guest Editorial: Sparse Coding. Int. J. Comput. Vis. Julien Mairal, Michael Elad, Francis R. Bach
2015	J	`jnl`	Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning. SIAM J. Optim. Julien Mairal
2015	A*	`conf`	Local Convolutional Features with Unsupervised Training for Image Retrieval. ICCV Mattis Paulin, Matthijs Douze, Zaïd Harchaoui, Julien Mairal, Florent Perronnin, Cordelia Schmid
2014	—	`conf`	Convolutional Kernel Networks. NIPS Julien Mairal, Piotr Koniusz, Zaïd Harchaoui, Cordelia Schmid
2014	J	`jnl`	Convolutional Kernel Networks. CoRR Julien Mairal, Piotr Koniusz, Zaïd Harchaoui, Cordelia Schmid
2014	J	`jnl`	Efficient RNA isoform identification and quantification from RNA-Seq data with network flows. Bioinform. Elsa Bernard, Laurent Jacob, Julien Mairal, Jean-Philippe Vert
2014	A*	`conf`	Fast and Robust Archetypal Analysis for Representation Learning. CVPR Yuansi Chen, Julien Mairal, Zaïd Harchaoui
2014	J	`jnl`	Fast and Robust Archetypal Analysis for Representation Learning. CoRR Yuansi Chen, Julien Mairal, Zaïd Harchaoui
2014	J	`jnl`	Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning. CoRR Julien Mairal
2014	A*	`conf`	Mixing Body-Part Sequences for Human Pose Estimation. CVPR Anoop Cherian, Julien Mairal, Karteek Alahari, Cordelia Schmid
2014	A*	`conf`	On learning to localize objects with minimal supervision. ICML Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell
2014	J	`jnl`	One-Bit Object Detection: On learning to localize objects with minimal supervision. CoRR Hyun Oh Song, Ross B. Girshick, Stefanie Jegelka, Julien Mairal, Zaïd Harchaoui, Trevor Darrell
2014	J	`jnl`	Sparse Modeling for Image and Vision Processing. CoRR Julien Mairal, Francis R. Bach, Jean Ponce
2014	J	`jnl`	Sparse Modeling for Image and Vision Processing. Found. Trends Comput. Graph. Vis. Julien Mairal, Francis R. Bach, Jean Ponce
2013	J	`jnl`	Optimization with First-Order Surrogate Functions CoRR Julien Mairal
2013	—	`conf`	Optimization with First-Order Surrogate Functions. ICML (3) Julien Mairal
2013	—	`conf`	Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization. NIPS Julien Mairal
2013	J	`jnl`	Stochastic Majorization-Minimization Optimization with First-Order Surrogate Functions. CoRR Julien Mairal
2013	A*	`conf`	Structured Penalties for Log-Linear Language Models. EMNLP Anil Kumar Nelakanti, Cédric Archambeau, Julien Mairal, Francis R. Bach, Guillaume Bouchard
2013	J	`jnl`	Supervised feature selection in graphs with path coding penalties and network flows. J. Mach. Learn. Res. Julien Mairal, Bin Yu
2012	J	`jnl`	Complexity Analysis of the Lasso Regularization Path CoRR Julien Mairal, Bin Yu
2012	A*	`conf`	Complexity Analysis of the Lasso Regularization Path. ICML Julien Mairal, Bin Yu
2012	J	`jnl`	Optimization with Sparsity-Inducing Penalties. Found. Trends Mach. Learn. Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
2012	J	`jnl`	Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows CoRR Julien Mairal, Bin Yu
2012	J	`jnl`	Task-Driven Dictionary Learning. IEEE Trans. Pattern Anal. Mach. Intell. Julien Mairal, Francis R. Bach, Jean Ponce
2011	J	`jnl`	Convex and Network Flow Optimization for Structured Sparsity CoRR Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2011	J	`jnl`	Convex and Network Flow Optimization for Structured Sparsity. J. Mach. Learn. Res. Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2011	J	`jnl`	Dictionary Learning for Deblurring and Digital Zoom CoRR Florent Couzinie-Devy, Julien Mairal, Francis R. Bach, Jean Ponce
2011	J	`jnl`	Learning Hierarchical and Topographic Dictionaries with Structured Sparsity CoRR Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2011	J	`jnl`	Optimization with Sparsity-Inducing Penalties CoRR Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
2011	J	`jnl`	Proximal Methods for Hierarchical Sparse Coding. J. Mach. Learn. Res. Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach
2011	J	`jnl`	Sparse Image Representation with Epitomes CoRR Louise Benoît, Julien Mairal, Francis R. Bach, Jean Ponce
2011	A*	`conf`	Sparse image representation with epitomes. CVPR Louise Benoît, Julien Mairal, Francis R. Bach, Jean Ponce
2011	J	`jnl`	Structured sparsity through convex optimization CoRR Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
2010	J	`jnl`	Network Flow Algorithms for Structured Sparsity CoRR Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2010	—	`conf`	Network Flow Algorithms for Structured Sparsity. NIPS Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2010	J	`jnl`	Online Learning for Matrix Factorization and Sparse Coding. J. Mach. Learn. Res. Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro
2010	A*	`conf`	Proximal Methods for Sparse Hierarchical Dictionary Learning. ICML Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach
2010	J	`jnl`	Sparse Representation for Computer Vision and Pattern Recognition. Proc. IEEE John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas S. Huang, Shuicheng Yan
2009	A*	`conf`	Non-local sparse models for image restoration. ICCV Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman
2009	J	`jnl`	Online Learning for Matrix Factorization and Sparse Coding CoRR Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro
2009	A*	`conf`	Online dictionary learning for sparse coding. ICML Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro
2008	J	`jnl`	Convex Sparse Matrix Factorizations CoRR Francis R. Bach, Julien Mairal, Jean Ponce
2008	—	`conf`	Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. ECCV (3) Julien Mairal, Marius Leordeanu, Francis R. Bach, Martial Hebert, Jean Ponce
2008	A*	`conf`	Discriminative learned dictionaries for local image analysis. CVPR Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman
2008	J	`jnl`	Learning Multiscale Sparse Representations for Image and Video Restoration. Multiscale Model. Simul. Julien Mairal, Guillermo Sapiro, Michael Elad
2008	J	`jnl`	Sparse Representation for Color Image Restoration. IEEE Trans. Image Process. Julien Mairal, Michael Elad, Guillermo Sapiro
2008	J	`jnl`	Supervised Dictionary Learning CoRR Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman
2008	—	`conf`	Supervised Dictionary Learning. NIPS Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman
2007	—	`conf`	Multiscale Sparse Image Representationwith Learned Dictionaries. ICIP (3) Julien Mairal, Guillermo Sapiro, Michael Elad
2006	—	`conf`	Fast and Efficient Dense Variational Stereo on GPU. 3DPVT Julien Mairal, Renaud Keriven, Alexandre Chariot