3 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
Ambroise Heurtebise, Omar Chehab, Pierre Ablin +2
Causal discovery is a difficult problem that typically relies on strong assumptions on the data-generating model, such as non-Gaussianity. In practice, many modern applications pro…
MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations
Ambroise Heurtebise, Omar Chehab, Pierre Ablin +1
Machine learning techniques in multi-view settings face significant challenges, particularly when integrating heterogeneous data, aligning feature spaces, and managing view-specifi…
MultiView Independent Component Analysis with Delays
Ambroise Heurtebise, Pierre Ablin, Alexandre Gramfort
Linear Independent Component Analysis (ICA) is a blind source separation technique that has been used in various domains to identify independent latent sources from observed signal…