NIPS Proceedingsβ

Alexandre Gramfort

8 Papers

  • Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso (2019)
  • Learning step sizes for unfolded sparse coding (2019)
  • Manifold-regression to predict from MEG/EEG brain signals without source modeling (2019)
  • Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals (2018)
  • Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding (2017)
  • GAP Safe Screening Rules for Sparse-Group Lasso (2016)
  • GAP Safe screening rules for sparse multi-task and multi-class models (2015)
  • Brain covariance selection: better individual functional connectivity models using population prior (2010)