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2020 – today
- 2020
[c9]Clément Lalanne, Maxence Rateaux, Laurent Oudre, Matthieu P. Robert, Thomas Moreau:
Extraction of Nystagmus Patterns from Eye-Tracker Data with Convolutional Sparse Coding. EMBC 2020: 928-931- [i7]Pierre Ablin, Gabriel Peyré, Thomas Moreau:
Super-efficiency of automatic differentiation for functions defined as a minimum. CoRR abs/2002.03722 (2020) - [i6]Marine Le Morvan, Julie Josse, Thomas Moreau, Erwan Scornet, Gaël Varoquaux:
Neumann networks: differential programming for supervised learning with missing values. CoRR abs/2007.01627 (2020)
2010 – 2019
- 2019
- [j4]Charles Truong
, Rémi Barrois-Müller, Thomas Moreau, Clément Provost, Aliénor Vienne-Jumeau, Albane Moreau, Pierre-Paul Vidal, Nicolas Vayatis, Stéphane Buffat, Alain P. Yelnik, Damien Ricard, Laurent Oudre:
A Data Set for the Study of Human Locomotion with Inertial Measurements Units. Image Process. Line 9: 381-390 (2019) - [c8]Hamza Cherkaoui, Thomas Moreau, Abderrahim Halimi, Philippe Ciuciu:
fMRI BOLD signal decomposition using a multivariate low-rank model. EUSIPCO 2019: 1-5 - [c7]Hamza Cherkaoui, Thomas Moreau, Abderrahim Halimi, Philippe Ciuciu:
Sparsity-based Blind Deconvolution of Neural Activation Signal in FMRI. ICASSP 2019: 1323-1327 - [c6]Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort:
Learning step sizes for unfolded sparse coding. NeurIPS 2019: 13100-13110 - [i5]Thomas Moreau, Alexandre Gramfort:
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals. CoRR abs/1901.09235 (2019) - [i4]Pierre Ablin, Thomas Moreau, Mathurin Massias, Alexandre Gramfort:
Learning step sizes for unfolded sparse coding. CoRR abs/1905.11071 (2019) - 2018
- [j3]Laurent Oudre, Rémi Barrois, Thomas Moreau, Charles Truong, Aliénor Vienne-Jumeau, Damien Ricard, Nicolas Vayatis, Pierre-Paul Vidal:
Template-Based Step Detection with Inertial Measurement Units. Sensors 18(11): 4033 (2018) - [c5]Thomas Moreau, Laurent Oudre, Nicolas Vayatis:
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding. ICML 2018: 3623-3631 - [c4]Tom Dupré la Tour, Thomas Moreau, Mainak Jas, Alexandre Gramfort:
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals. NeurIPS 2018: 3296-3306 - [i3]Tom Dupré la Tour, Thomas Moreau, Mainak Jas, Alexandre Gramfort:
Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals. CoRR abs/1805.09654 (2018) - 2017
- [b1]Thomas Moreau:
Convolutional Sparse Representations - application to physiological signals and interpretability for Deep Learning. (Représentations Convolutives Parcimonieuses - application aux signaux physiologiques et interpétabilité de l'apprentissage profond). University of Paris-Saclay, France, 2017 - [j2]Francois Boy, Jean-Damien Desjonqueres, Nicolas Picot, Thomas Moreau, Matthias Raynal:
CryoSat-2 SAR-Mode Over Oceans: Processing Methods, Global Assessment, and Benefits. IEEE Trans. Geosci. Remote. Sens. 55(1): 148-158 (2017) - [c3]Thomas Moreau, Joan Bruna:
Understanding Trainable Sparse Coding with Matrix Factorization. ICLR (Poster) 2017 - [i2]Thomas Moreau, Laurent Oudre, Nicolas Vayatis:
Distributed Convolutional Sparse Coding. CoRR abs/1705.10087 (2017) - 2016
- [i1]Thomas Moreau, Julien Audiffren:
Post Training in Deep Learning with Last Kernel. CoRR abs/1611.04499 (2016) - 2015
- [j1]Abderrahim Halimi, Corinne Mailhes, Jean-Yves Tourneret, Francois Boy, Thomas Moreau:
Including Antenna Mispointing in a Semi-Analytical Model for Delay/Doppler Altimetry. IEEE Trans. Geosci. Remote. Sens. 53(2): 598-608 (2015) - 2014
- [c2]Abderrahim Halimi, Corinne Mailhes, Jean-Yves Tourneret, Thomas Moreau, Francois Boy:
Exploiting time and frequency information for Delay/Doppler altimetry. EUSIPCO 2014: 1088-1092 - [c1]Abderrahim Halimi, Corinne Mailhes, Jean-Yves Tourneret, Francois Boy, Thomas Moreau:
A generalized semi-analytical model for delay/Doppler altimetry. IGARSS 2014: 5126-5129
Coauthor Index
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