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Modeling Shared Responses in Neuroimaging Studies through MultiView ICA

Modeling Shared Responses in Neuroimaging Studies through MultiView ICA

11 June 2020
Hugo Richard
Luigi Gresele
Aapo Hyvarinen
B. Thirion
Alexandre Gramfort
Pierre Ablin
    OOD
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Papers citing "Modeling Shared Responses in Neuroimaging Studies through MultiView ICA"

13 / 13 papers shown
Title
Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data
Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data
Eloy P. T. Geenjaar
Vince D. Calhoun
29
0
0
30 Apr 2025
MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations
MVICAD2: Multi-View Independent Component Analysis with Delays and Dilations
Ambroise Heurtebise
O. Chehab
Pierre Ablin
Alexandre Gramfort
38
0
0
13 Jan 2025
Copula-Linked Parallel ICA: A Method for Coupling Structural and
  Functional MRI brain Networks
Copula-Linked Parallel ICA: A Method for Coupling Structural and Functional MRI brain Networks
Oktay Agcaoglu
Rogers F. Silva
Deniz Alacam
Sergey Plis
Tulay Adali
Vince D. Calhoun
19
0
0
14 Oct 2024
MultiView Independent Component Analysis with Delays
MultiView Independent Component Analysis with Delays
Ambroise Heurtebise
Pierre Ablin
Alexandre Gramfort
17
1
0
01 Dec 2023
Multi-View Independent Component Analysis with Shared and Individual
  Sources
Multi-View Independent Component Analysis with Shared and Individual Sources
T. Pandeva
Patrick Forré
CML
15
5
0
05 Oct 2022
Aligning individual brains with Fused Unbalanced Gromov-Wasserstein
Aligning individual brains with Fused Unbalanced Gromov-Wasserstein
Alexis Thual
Huy Tran
Tatiana Zemskova
Nicolas Courty
Rémi Flamary
S. Dehaene
B. Thirion
OT
30
24
0
19 Jun 2022
Shared Independent Component Analysis for Multi-Subject Neuroimaging
Shared Independent Component Analysis for Multi-Subject Neuroimaging
Hugo Richard
Pierre Ablin
B. Thirion
Alexandre Gramfort
Aapo Hyvarinen
22
9
0
26 Oct 2021
Self-Supervised Learning with Data Augmentations Provably Isolates
  Content from Style
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Julius von Kügelgen
Yash Sharma
Luigi Gresele
Wieland Brendel
Bernhard Schölkopf
M. Besserve
Francesco Locatello
30
303
0
08 Jun 2021
Deep Recurrent Encoder: A scalable end-to-end network to model brain
  signals
Deep Recurrent Encoder: A scalable end-to-end network to model brain signals
O. Chehab
Alexandre Défossez
Jean-Christophe Loiseau
Alexandre Gramfort
J. King
AI4TS
19
9
0
03 Mar 2021
Adaptive Multi-View ICA: Estimation of noise levels for optimal
  inference
Adaptive Multi-View ICA: Estimation of noise levels for optimal inference
Hugo Richard
Pierre Ablin
Aapo Hyvarinen
Alexandre Gramfort
Bertrand Thirion Inria
CML
25
1
0
22 Feb 2021
Barking up the right tree: an approach to search over molecule synthesis
  DAGs
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw
Brooks Paige
Matt J. Kusner
Marwin H. S. Segler
José Miguel Hernández-Lobato
56
56
0
21 Dec 2020
$\ell_0$-based Sparse Canonical Correlation Analysis
ℓ0\ell_0ℓ0​-based Sparse Canonical Correlation Analysis
Ofir Lindenbaum
Moshe Salhov
Amir Averbuch
Y. Kluger
27
1
0
12 Oct 2020
mvlearn: Multiview Machine Learning in Python
mvlearn: Multiview Machine Learning in Python
Ronan Perry
Gavin Mischler
Richard Guo
T. Lee
Alexander Chang
...
Hugo Richard
Iain Carmichael
Pierre Ablin
Alexandre Gramfort
Joshua T. Vogelstein
9
23
0
25 May 2020
1