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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

artículo científico publicado en 2015

Biological sequence modeling with convolutional kernel networks

scientific article published on 01 September 2019

Convolutional Kernel Networks ⬇️

artículo científico publicado en 2014

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

artículo científico publicado en 2014

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

artículo científico publicado en 2016

Invariance and Stability of Deep Convolutional Representations ⬇️

artículo científico publicado en 2017

Learning Multiscale Sparse Representations for Image and Video Restoration

Learning Neural Representations of Human Cognition across Many fMRI Studies ⬇️

artículo científico publicado en 2017

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

artículo científico publicado en 2018

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

artículo científico publicado en 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

artículo científico publicado en 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 ⬇️

artículo científico publicado en 2017

Supervised Dictionary Learning ⬇️

Task-Driven Dictionary Learning ⬇️

artículo científico publicado el 1 de abril de 2012

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis ⬇️

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments ⬇️

artículo científico publicado en 2020

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