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Clément Luneau
Clément Luneau
Data Scientist, Credit Suisse
Dirección de correo verificada de epfl.ch
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Entropy and mutual information in models of deep neural networks
M Gabrié, A Manoel, C Luneau, N Macris, F Krzakala, L Zdeborová
Advances in Neural Information Processing Systems, 1821-1831, 2018
1942018
Mutual information for low-rank even-order symmetric tensor estimation
C Luneau, J Barbier, N Macris
Information and Inference: A Journal of the IMA, 2020
26*2020
High-dimensional rank-one nonsymmetric matrix decomposition: the spherical case
C Luneau, N Macris, J Barbier
2020 IEEE International Symposium on Information Theory (ISIT), 2646-2651, 2020
222020
Information theoretic limits of learning a sparse rule
C Luneau, N Macris
Advances in Neural Information Processing Systems 33, 2020
122020
Tomographic reconstruction using a new voxel-domain prior and Gaussian message passing
N Zalmai, C Luneau, C Stritt, HA Loeliger
2016 24th European Signal Processing Conference (EUSIPCO), 2295-2299, 2016
72016
Tensor estimation with structured priors
C Luneau, N Macris
IEEE Journal on Selected Areas in Information Theory 1 (3), 705-722, 2020
12020
Statistical limits of high-dimensional inference problems
CD Luneau
EPFL, 2021
2021
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Artículos 1–7