| DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals | 0 | 0.34 | 2022 |
| DiCoDiLe: Distributed Convolutional Dictionary Learning | 0 | 0.34 | 2022 |
| Sentinel-6 MF Poseidon-4 Radar Altimeter In-Flight Calibration and Performances Monitoring. | 0 | 0.34 | 2022 |
| SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models | 0 | 0.34 | 2022 |
| CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals | 0 | 0.34 | 2022 |
| NeuMiss networks: differentiable programming for supervised learning with missing values. | 0 | 0.34 | 2020 |
| Extraction Of Nystagmus Patterns From Eye-Tracker Data With Convolutional Sparse Coding | 0 | 0.34 | 2020 |
| Learning to solve TV regularised problems with unrolled algorithms | 0 | 0.34 | 2020 |
| Wavelets In The Deep Learning Era | 0 | 0.34 | 2020 |
| Super-efficiency of automatic differentiation for functions defined as a minimum | 0 | 0.34 | 2020 |
| Sparsity-Based Blind Deconvolution Of Neural Activation Signal In Fmri | 0 | 0.34 | 2019 |
| A Data Set For The Study Of Human Locomotion With Inertial Measurements Units | 0 | 0.34 | 2019 |
| Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals. | 0 | 0.34 | 2019 |
| Learning step sizes for unfolded sparse coding. | 1 | 0.34 | 2019 |
| Fmri Bold Signal Decomposition Using A Multivariate Low-Rank Model | 0 | 0.34 | 2019 |
| DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding. | 1 | 0.35 | 2018 |
| Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals. | 0 | 0.34 | 2018 |
| Template-Based Step Detection with Inertial Measurement Units. | 1 | 0.37 | 2018 |
| Understanding Trainable Sparse Coding with Matrix Factorization | 4 | 0.41 | 2017 |
| Understanding Trainable Sparse Coding with Matrix Factorization. | 0 | 0.34 | 2017 |
| Distributed Convolutional Sparse Coding. | 0 | 0.34 | 2017 |
| Post Training in Deep Learning with Last Kernel. | 0 | 0.34 | 2016 |
