ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.01094
  4. Cited By
Robustifying Independent Component Analysis by Adjusting for Group-Wise
  Stationary Noise
v1v2v3 (latest)

Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise

4 June 2018
Niklas Pfister
S. Weichwald
Peter Buhlmann
Bernhard Schölkopf
    OODCML
ArXiv (abs)PDFHTML

Papers citing "Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise"

5 / 5 papers shown
Invariant Subspace Decomposition
Invariant Subspace Decomposition
Margherita Lazzaretto
Jonas Peters
Niklas Pfister
282
1
0
15 Apr 2024
Large-Sample Properties of Non-Stationary Source Separation for Gaussian
  Signals
Large-Sample Properties of Non-Stationary Source Separation for Gaussian SignalsElectronic Journal of Statistics (EJS), 2022
François Bachoc
C. Muehlmann
K. Nordhausen
Joni Virta
301
1
0
21 Sep 2022
Deconfounding and Causal Regularization for Stability and External
  Validity
Deconfounding and Causal Regularization for Stability and External Validity
Peter Buhlmann
Domagoj Cevid
CML
246
13
0
14 Aug 2020
Deconvolution with unknown noise distribution is possible for
  multivariate signals
Deconvolution with unknown noise distribution is possible for multivariate signals
Elisabeth Gassiat
Sylvain Le Corff
Luc Lehéricy
236
12
0
25 Jun 2020
Modeling Shared Responses in Neuroimaging Studies through MultiView ICA
Modeling Shared Responses in Neuroimaging Studies through MultiView ICANeural Information Processing Systems (NeurIPS), 2020
Hugo Richard
Luigi Gresele
Aapo Hyvarinen
Bertrand Thirion
Alexandre Gramfort
Pierre Ablin
OOD
550
27
0
11 Jun 2020
1
Page 1 of 1