Michael Eickenberg
Cited by
Cited by
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
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
Greedy Layerwise Learning Can Scale to ImageNet
E Belilovsky, M Eickenberg, E Oyallon
arXiv preprint arXiv:1812.11446, 2018
Kymatio: Scattering Transforms in Python
M Andreux, T Angles, G Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ...
arXiv preprint arXiv:1812.11214, 2018
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
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
Data-driven HRF estimation for encoding and decoding models
F Pedregosa, M Eickenberg, P Ciuciu, B Thirion, A Gramfort
NeuroImage 104, 209-220, 2015
Decoupled Greedy Learning of CNNs
E Belilovsky, M Eickenberg, E Oyallon
arXiv preprint arXiv:1901.08164, 2019
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
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
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
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
F Villaescusa-Navarro, S Genel, D Angles-Alcazar, L Thiele, R Dave, ...
arXiv preprint arXiv:2109.10915, 2021
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
Polarization of defect related optical transitions in chalcopyrites
K Hönes, M Eickenberg, S Siebentritt, C Persson
Applied physics letters 93 (9), 092102, 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
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
Arrhythmia classification of 12-lead electrocardiograms by hybrid scattering-lstm networks
PA Warrick, V Lostanlen, M Eickenberg, J Andén, MN Homsi
2020 Computing in Cardiology, 1-4, 2020
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
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
Feature-space selection with banded ridge regression
TD la Tour, M Eickenberg, JL Gallant
bioRxiv, 2022
The system can't perform the operation now. Try again later.
Articles 1–20