Search Results for author: Jean-François Cardoso

Found 7 papers, 4 papers with code

Faster independent component analysis by preconditioning with Hessian approximations

2 code implementations25 Jun 2017 Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort

Independent Component Analysis (ICA) is a technique for unsupervised exploration of multi-channel data that is widely used in observational sciences.

Faster ICA under orthogonal constraint

1 code implementation29 Nov 2017 Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort

Independent Component Analysis (ICA) is a technique for unsupervised exploration of multi-channel data widely used in observational sciences.

Stochastic algorithms with descent guarantees for ICA

1 code implementation25 May 2018 Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso, Francis Bach

We derive an online algorithm for the streaming setting, and an incremental algorithm for the finite sum setting, with the following benefits.

Accelerating likelihood optimization for ICA on real signals

no code implementations25 Jun 2018 Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort

We study optimization methods for solving the maximum likelihood formulation of independent component analysis (ICA).

Beyond Pham's algorithm for joint diagonalization

1 code implementation28 Nov 2018 Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort

The approximate joint diagonalization of a set of matrices consists in finding a basis in which these matrices are as diagonal as possible.

Spectral independent component analysis with noise modeling for M/EEG source separation

no code implementations21 Aug 2020 Pierre Ablin, Jean-François Cardoso, Alexandre Gramfort

Signals are modelled as a linear mixing of independent sources corrupted by additive noise, where sources and the noise are stationary Gaussian time series.

Denoising Dimensionality Reduction +2

Cannot find the paper you are looking for? You can Submit a new open access paper.