Skip to main content
Ir a la página de inicio de la Comisión Europea (se abrirá en una nueva ventana)
español español
CORDIS - Resultados de investigaciones de la UE
CORDIS

Large-Scale Learning with Deep Kernel Machines

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

The spectral bias of polynomial neural networks

Autores: M. Choraria, L. T. Dadi, G. Chrysos, J. Mairal and V. Cevher
Publicado en: International Conference on Learning Representations (ICLR), 2022
Editor: ICLR

Self-Supervised Models are Continual Learners

Autores: E. Fini, V. G. Turrisi da Costa, X. Alameda-Pineda, E. Ricci, K. Alahari and J. Mairal
Publicado en: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Editor: IEEE

Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration (se abrirá en una nueva ventana)

Autores: Bruno Lecouat, Jean Ponce, Julien Mairal
Publicado en: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXII, Edición 12367, 2020, Página(s) 238-254, ISBN 978-3-030-58541-9
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-58542-6_15

A Generic Acceleration Framework for Stochastic Composite Optimization

Autores: Kulunchakov, Andrei; Mairal, Julien
Publicado en: NeurIPS 2019 - Thirty-third Conference Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.12556-12567, 2019
Editor: Neurips

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration

Autores: Theo Bodrito; Jocelyn Chanussot; Julien Mairal
Publicado en: Adv. Neural Information Processing Systems (NeurIPS), 2021
Editor: NeurIPS

Recurrent Kernel Networks

Autores: Chen, Dexiong; Jacob, Laurent; Mairal, Julien
Publicado en: NeurIPS 2019 - Neural Information Processing Systems, 2019
Editor: NeurIPS

Designing and Learning Trainable Priors with Non-Cooperative Games

Autores: Lecouat, Bruno; Ponce, Jean; Mairal, Julien
Publicado en: Adv. Neural Information Processing Systems (NeurIPS), 2020
Editor: NeurIPS

An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention

Autores: Mialon, Grégoire; Chen, Dexiong; D'Aspremont, Alexandre; Mairal, Julien
Publicado en: ICLR 2021 - International Conference on Learning Representations, 2021
Editor: ICLR

Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions

Autores: Mialon, Grégoire; D'Aspremont, Alexandre; Mairal, Julien
Publicado en: AISTATS 2020 - 23rd International Conference on Artificial Intelligence and Statistics, 2020
Editor: PMLR

Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts (se abrirá en una nueva ventana)

Autores: Lecouat, Bruno; Ponce, Jean; Mairal, Julien
Publicado en: International Conference on Computer Vision (ICCV), 2021
Editor: IEEE
DOI: 10.1109/iccv48922.2021.00237

On the Inductive Bias of Neural Tangent Kernels

Autores: Bietti, Alberto; Mairal, Julien
Publicado en: NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.12873-12884, 2019
Editor: Neurips

Catalyst for Gradient-based Nonconvex Optimization

Autores: Paquette , Courtney; Lin , Hongzhou; Drusvyatskiy , Dmitriy; Mairal , Julien; Harchaoui , Zaid
Publicado en: AISTATS 2018 - 21st International Conference on Artificial Intelligence and Statistics, Apr 2018, Lanzarote, Spain. pp.1-10, 2018
Editor: PMLR

Learning Neural Representations of Human Cognition across Many fMRI Studies

Autores: Mensch, Arthur; Mairal, Julien; Bzdok, Danilo; Thirion, Bertrand; Varoquaux, Gaël
Publicado en: NIPS 2017 - Advances in Neural Information Processing Systems, 2017
Editor: NIPS proceedings

Invariance and Stability of Deep Convolutional Representations

Autores: Bietti , Alberto; Mairal , Julien
Publicado en: NIPS 2017 - 31st Conference on Advances in Neural Information Processing Systems, 2017
Editor: NIPS Proceedings

BlitzNet: A Real-Time Deep Network for Scene Understanding

Autores: Nikita Dvornik, Konstantin Shmelkok, Julien Mairal, Cordelia Schmid
Publicado en: ICCV 2017 - International Conference on Computer Vision, 2017
Editor: IEEE

Modeling Visual Context is Key to Augmenting Object Detection Datasets

Autores: Dvornik , Nikita; Mairal , Julien; Schmid , Cordelia
Publicado en: ECCV 2018 - European Conference on Computer Vision, 2018
Editor: Springer

Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure

Autores: Bietti , Alberto; Mairal , Julien
Publicado en: NIPS 2017 - Advances in Neural Information Processing Systems, 2017
Editor: NIPS proceedings

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis

Autores: Wynen, Daan; Schmid, Cordelia; Mairal, Julien
Publicado en: NIPS 2018 - Advances in Neural Information Processing Systems, 2018
Editor: NIPS proceedings

A Kernel Perspective for Regularizing Deep Neural Networks

Autores: Bietti, Alberto; Mialon, Grégoire; Chen, Dexiong; Mairal, Julien
Publicado en: International Conference on Machine Learning (ICML), Edición 97, 2019, ISSN 2640-3498
Editor: PMLR

Diversity with Cooperation: Ensemble Methods for Few-Shot Classification

Autores: Dvornik, Nikita; Schmid, Cordelia; Mairal, Julien
Publicado en: International Conference on Computer Vision (ICCV), 2019
Editor: IEEE

Estimate Sequences for Variance-Reduced Stochastic Composite Optimization

Autores: Kulunchakov, Andrei; Mairal, Julien
Publicado en: International Conference on Machine Learning (ICML), Edición 97, 2019
Editor: PMLR

Unsupervised Pre-Training of Image Features on Non-Curated Data

Autores: Caron, Mathilde; Bojanowski, Piotr; Mairal, Julien; Joulin, Armand
Publicado en: International Conference on Computer Vision (ICCV), 2019
Editor: IEEE

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Autores: Caron, Mathilde; Misra, Ishan; Mairal, Julien; Goyal, Priya; Bojanowski, Piotr; Joulin, Armand
Publicado en: NeurIPS 2020 - Neural Information Processing Systems, 2020
Editor: PMLR

Convolutional Kernel Networks for Graph-Structured Data

Autores: Chen, Dexiong; Jacob, Laurent; Mairal, Julien
Publicado en: ICML 2020 - 37th International Conference on Machine Learning, 2020
Editor: PMLR

Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization

Autores: Beugnot, Gaspard; Mairal, Julien; Rudi, Alessandro
Publicado en: Advances in Neural Information Processing Systems (NeurIPS), 2021
Editor: NeurIPS

Efficient Kernel UCB for Contextual Bandits

Autores: H. Zenati, A. Bietti, E. Diemert, J. Mairal, M. Martin and P. Gaillard
Publicado en: International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Editor: AISTATS

Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification (se abrirá en una nueva ventana)

Autores: Nikita Dvornik, Cordelia Schmid, Julien Mairal
Publicado en: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part X, Edición 12355, 2020, Página(s) 769-786, ISBN 978-3-030-58606-5
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-58607-2_45

Emerging Properties in Self-Supervised Vision Transformers (se abrirá en una nueva ventana)

Autores: Caron, Mathilde; Touvron, Hugo; Misra, Ishan; Jegou, Hervé; Mairal, Julien; Bojanowski, Piotr; Joulin, Armand
Publicado en: International Conference on Computer Vision (ICCV), 2021
Editor: IEEE
DOI: 10.1109/iccv48922.2021.00951

Amortized Implicit Differentiation for Stochastic Bilevel Optimization

Autores: M. Arbel and J. Mairal
Publicado en: International Conference on Learning Representations (ICLR), 2022
Editor: ICLR

Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise

Autores: Kulunchakov, Andrei; Mairal, Julien
Publicado en: Journal of Machine Learning Research (JMLR), Edición 21, 2020, ISSN 1532-4435
Editor: MIT Press

Extracting representations of cognition across neuroimaging studies improves brain decoding (se abrirá en una nueva ventana)

Autores: Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux
Publicado en: PLOS Computational Biology, Edición 17/5, 2021, Página(s) e1008795, ISSN 1553-734X
Editor: Public Library of Science
DOI: 10.1371/journal.pcbi.1008795

Stochastic Subsampling for Factorizing Huge Matrices (se abrirá en una nueva ventana)

Autores: Arthur Mensch, Julien Mairal, Bertrand Thirion, Gael Varoquaux
Publicado en: IEEE Transactions on Signal Processing, Edición 66/1, 2018, Página(s) 113-128, ISSN 1053-587X
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSP.2017.2752697

Loter: A Software Package to Infer Local Ancestry for a Wide Range of Species (se abrirá en una nueva ventana)

Autores: Thomas Dias-Alves, Julien Mairal, Michael G B Blum
Publicado en: Molecular Biology and Evolution, Edición 35/9, 2018, Página(s) 2318-2326, ISSN 0737-4038
Editor: Oxford University Press
DOI: 10.1093/molbev/msy126

Catalyst Acceleration for First-order Convex Optimization: from Theory to Practice

Autores: Lin , Hongzhou; Mairal , Julien; Harchaoui , Zaid
Publicado en: Journal of Machine Learning Research, Edición 18, 2018, ISSN 1532-4435
Editor: MIT Press

Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations

Autores: Bietti, Alberto; Mairal, Julien
Publicado en: Journal of Machine Learning Research, Edición 20, 2019, ISSN 1532-4435
Editor: MIT Press

An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration (se abrirá en una nueva ventana)

Autores: Hongzhou Lin, Julien Mairal, Zaid Harchaoui
Publicado en: SIAM Journal on Optimization, Edición 29/2, 2019, Página(s) 1408-1443, ISSN 1052-6234
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/17M1125157

Biological sequence modeling with convolutional kernel networks (se abrirá en una nueva ventana)

Autores: Dexiong Chen, Laurent Jacob, Julien Mairal
Publicado en: Bioinformatics, 2019, ISSN 1367-4803
Editor: Oxford University Press
DOI: 10.1093/bioinformatics/btz094

On the Importance of Visual Context for Data Augmentation in Scene Understanding (se abrirá en una nueva ventana)

Autores: Nikita Dvornik, Julien Mairal, Cordelia Schmid
Publicado en: IEEE Transactions on Pattern Analysis and Machine Intelligence, Edición 43/6, 2021, Página(s) 2014-2028, ISSN 0162-8828
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2019.2961896

Buscando datos de OpenAIRE...

Se ha producido un error en la búsqueda de datos de OpenAIRE

No hay resultados disponibles

Mi folleto 0 0