NIPS Proceedingsβ

Gael Varoquaux

7 Papers

  • Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing (2019)
  • Manifold-regression to predict from MEG/EEG brain signals without source modeling (2019)
  • Learning Neural Representations of Human Cognition across Many fMRI Studies (2017)
  • Learning brain regions via large-scale online structured sparse dictionary learning (2016)
  • Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data (2015)
  • Mapping paradigm ontologies to and from the brain (2013)
  • Brain covariance selection: better individual functional connectivity models using population prior (2010)