Julien Mairal

33

Papers

230

Total Citations

Papers (33)

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

NeurIPS 2016arXiv

Learning Neural Representations of Human Cognition across Many fMRI Studies

NeurIPS 2017arXiv

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

NeurIPS 2017arXiv

LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes

MAP Estimation with Denoisers: Convergence Rates and Guarantees

NeurIPS 2025arXiv

A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations

Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching

Local Convolutional Features With Unsupervised Training for Image Retrieval

BlitzNet: A Real-Time Deep Network for Scene Understanding

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

Diversity With Cooperation: Ensemble Methods for Few-Shot Classification

Lucas-Kanade Reloaded: End-to-End Super-Resolution From Raw Image Bursts

Emerging Properties in Self-Supervised Vision Transformers

Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification

Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration

A Universal Catalyst for First-Order Optimization

SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization

Invariance and Stability of Deep Convolutional Representations

Semi-Supervised Learning Made Simple With Self-Supervised Clustering

Self-Supervised Models Are Continual Learners

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis

A Generic Acceleration Framework for Stochastic Composite Optimization

On the Inductive Bias of Neural Tangent Kernels

Recurrent Kernel Networks

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

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

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

Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization

Non-Convex Bilevel Games with Critical Point Selection Maps

GloptiNets: Scalable Non-Convex Optimization with Certificates

Dictionary Learning for Massive Matrix Factorization

A Kernel Perspective for Regularizing Deep Neural Networks

Estimate Sequences for Variance-Reduced Stochastic Composite Optimization