| Machine learning for neuroimaging with scikit-learn A Abraham, F Pedregosa, M Eickenberg, P Gervais, A Mueller, J Kossaifi, ... Frontiers in neuroinformatics 8, 14, 2014 | 634 | 2014 |
| Seeing it all: Convolutional network layers map the function of the human visual system M Eickenberg, A Gramfort, G Varoquaux, B Thirion NeuroImage 152, 184-194, 2017 | 148 | 2017 |
| Data-driven HRF estimation for encoding and decoding models F Pedregosa, M Eickenberg, P Ciuciu, B Thirion, A Gramfort NeuroImage 104, 209-220, 2015 | 49 | 2015 |
| Solid harmonic wavelet scattering for predictions of molecule properties M Eickenberg, G Exarchakis, M Hirn, S Mallat, L Thiry The Journal of Chemical Physics 148 (24), 241732, 2018 | 48 | 2018 |
| Formal models of the network co-occurrence underlying mental operations D Bzdok, G Varoquaux, O Grisel, M Eickenberg, C Poupon, B Thirion PLoS computational biology 12 (6), e1004994, 2016 | 46 | 2016 |
| Greedy Layerwise Learning Can Scale to ImageNet E Belilovsky, M Eickenberg, E Oyallon arXiv preprint arXiv:1812.11446, 2018 | 43 | 2018 |
| Solid harmonic wavelet scattering: Predicting quantum molecular energy from invariant descriptors of 3D electronic densities M Eickenberg, G Exarchakis, M Hirn, S Mallat Advances in Neural Information Processing Systems, 6540-6549, 2017 | 35 | 2017 |
| Semi-supervised factored logistic regression for high-dimensional neuroimaging data D Bzdok, M Eickenberg, O Grisel, B Thirion, G Varoquaux Advances in neural information processing systems, 3348-3356, 2015 | 28 | 2015 |
| Kymatio: Scattering Transforms in Python M Andreux, T Angles, G Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ... arXiv preprint arXiv:1812.11214, 2018 | 26 | 2018 |
| Decoupled Greedy Learning of CNNs E Belilovsky, M Eickenberg, E Oyallon arXiv preprint arXiv:1901.08164, 2019 | 22 | 2019 |
| Characterizing responses of translation-invariant neurons to natural stimuli: Maximally informative invariant dimensions M Eickenberg, RJ Rowekamp, M Kouh, TO Sharpee Neural computation 24 (9), 2384-2421, 2012 | 22 | 2012 |
| Grouping total variation and sparsity: statistical learning with segmenting penalties M Eickenberg, E Dohmatob, B Thirion, G Varoquaux International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 18* | 2015 |
| Polarization of defect related optical transitions in chalcopyrites K Hönes, M Eickenberg, S Siebentritt, C Persson Applied physics letters 93 (9), 092102, 2008 | 15 | 2008 |
| Integrating multimodal priors in predictive models for the functional characterization of alzheimer’s disease M Rahim, B Thirion, A Abraham, M Eickenberg, E Dohmatob, C Comtat, ... International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 14 | 2015 |
| FAASTA: A fast solver for total-variation regularization of ill-conditioned problems with application to brain imaging G Varoquaux, M Eickenberg, E Dohmatob, B Thirion arXiv preprint arXiv:1512.06999, 2015 | 9 | 2015 |
| Speeding-up model-selection in GraphNet via early-stopping and univariate feature-screening E Dohmatob, M Eickenberg, B Thirion, G Varoquaux 2015 International Workshop on Pattern Recognition in NeuroImaging, 17-20, 2015 | 9 | 2015 |
| Hierarchical region-network sparsity for high-dimensional inference in brain imaging D Bzdok, M Eickenberg, G Varoquaux, B Thirion International Conference on Information Processing in Medical Imaging, 323-335, 2017 | 5 | 2017 |
| Correlations of correlations are not reliable statistics: implications for multivariate pattern analysis. B Thirion, F Pedregosa, M Eickenberg, G Varoquaux ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), 2015 | 5 | 2015 |
| HRF estimation improves sensitivity of fMRI encoding and decoding models F Pedregosa, M Eickenberg, B Thirion, A Gramfort 2013 International Workshop on Pattern Recognition in Neuroimaging, 165-169, 2013 | 5 | 2013 |
| Convolutional Network Layers Map the Function of the Human Visual Cortex M Eickenberg, G Varoquaux, B Thirion, A Gramfort ERCIM NEWS, 12-13, 2017 | 3 | 2017 |
