List of works - Julien Mairal

A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding ⬇️

A Generic Acceleration Framework for Stochastic Composite Optimization ⬇️

A Universal Catalyst for First-Order Optimization ⬇️

A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples

scientific article published on 19 August 2015

Biological sequence modeling with convolutional kernel networks

scientific article published on 01 September 2019

Convolutional Kernel Networks ⬇️

scientific article published in January 2014

Efficient RNA isoform identification and quantification from RNA-Seq data with network flows.

scientific article

End-to-End Kernel Learning with Supervised Convolutional Kernel Networks ⬇️

scientific article published in January 2016

Invariance and Stability of Deep Convolutional Representations ⬇️

scientific article published in January 2017

Learning Multiscale Sparse Representations for Image and Video Restoration

Learning Neural Representations of Human Cognition across Many fMRI Studies ⬇️

scientific article published in January 2017

Loter: A software package to infer local ancestry for a wide range of species.

scientific article

Multiscale Sparse Image Representationwith Learned Dictionaries

Network Flow Algorithms for Structured Sparsity ⬇️

scholarly article by Julien Mairal et al published 2010 in Advances in Neural Information Processing Systems 23

On the Importance of Visual Context for Data Augmentation in Scene Understanding

scientific article published on 24 December 2019

On the Inductive Bias of Neural Tangent Kernels ⬇️

article by Alberto Bietti & Julien Mairal published 2019 in Advances in Neural Information Processing Systems 32

Recurrent Kernel Networks ⬇️

scholarly article by Dexiong Chen et al published 2019 in Advances in Neural Information Processing Systems 32

Sparse representation for color image restoration

scientific article published in January 2008

Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization ⬇️

scholarly article by Julien Mairal published 2013 in Advances in Neural Information Processing Systems 26

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

scientific article published in January 2017

Supervised Dictionary Learning ⬇️

Task-Driven Dictionary Learning ⬇️

scientific article published on April 1, 2012

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis ⬇️

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments ⬇️

scientific article published in November 2020

List of works by Julien Mairal

A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding ⬇️

A Generic Acceleration Framework for Stochastic Composite Optimization ⬇️

A Universal Catalyst for First-Order Optimization ⬇️

A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples

Biological sequence modeling with convolutional kernel networks

Convolutional Kernel Networks ⬇️

Efficient RNA isoform identification and quantification from RNA-Seq data with network flows.

End-to-End Kernel Learning with Supervised Convolutional Kernel Networks ⬇️

Invariance and Stability of Deep Convolutional Representations ⬇️

Learning Multiscale Sparse Representations for Image and Video Restoration

Learning Neural Representations of Human Cognition across Many fMRI Studies ⬇️

Loter: A software package to infer local ancestry for a wide range of species.

Multiscale Sparse Image Representationwith Learned Dictionaries

Network Flow Algorithms for Structured Sparsity ⬇️

On the Importance of Visual Context for Data Augmentation in Scene Understanding

On the Inductive Bias of Neural Tangent Kernels ⬇️

Recurrent Kernel Networks ⬇️

Sparse representation for color image restoration

Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization ⬇️

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

Supervised Dictionary Learning ⬇️

Task-Driven Dictionary Learning ⬇️

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis ⬇️

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments ⬇️