フォロー
thibault Lesieur
thibault Lesieur
Sapienza University
確認したメール アドレス: cea.fr - ホームページ
タイトル
引用先
引用先
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
M Dia, N Macris, F Krzakala, T Lesieur, L Zdeborová
Advances in Neural Information Processing Systems 29, 2016
238*2016
Statistical and computational phase transitions in spiked tensor estimation
T Lesieur, L Miolane, M Lelarge, F Krzakala, L Zdeborová
2017 IEEE International Symposium on Information Theory (ISIT), 511-515, 2017
912017
Constrained low-rank matrix estimation: Phase transitions, approximate message passing and applications
T Lesieur, F Krzakala, L Zdeborová
Journal of Statistical Mechanics: Theory and Experiment 2017 (7), 073403, 2017
892017
MMSE of probabilistic low-rank matrix estimation: Universality with respect to the output channel
T Lesieur, F Krzakala, L Zdeborová
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
882015
Phase transitions in sparse PCA
T Lesieur, F Krzakala, L Zdeborová
2015 IEEE International Symposium on Information Theory (ISIT), 1635-1639, 2015
722015
Phase transitions and optimal algorithms in high-dimensional Gaussian mixture clustering
T Lesieur, C De Bacco, J Banks, F Krzakala, C Moore, L Zdeborová
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
242016
Chemical tuning of carrier type and concentration in a homologous series of crystalline chalcogenides
T Schäfer, PM Konze, JD Huyeng, VL Deringer, T Lesieur, P Müller, ...
Chemistry of Materials 29 (16), 6749-6757, 2017
162017
2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).
T Lesieur, F Krzakala, L Zdeborov
MMSE of probabilistic low-rank matrix estimation: Universality with respect …, 2015
72015
Proposal of the DUnet neural network architecture: Deghosting example and theoretical analysis
H Peng, J Messud, N Salaun, I Hammoud, P Jeunesse, T Lesieur, ...
82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021
32021
Optimization of the dynamic transition in the continuous coloring problem
AG Cavaliere, T Lesieur, F Ricci-Tersenghi
Journal of Statistical Mechanics: Theory and Experiment 2021 (11), 113302, 2021
12021
Towards Using Neural Networks to Complement Conventional Seismic Processing Algorithms
T Lesieur, G Pignot, N Al Kiyumi, J Messud
83rd EAGE Annual Conference & Exhibition 2022 (1), 1-5, 2022
2022
Data-driven method for training data selection for deep learning
C Lacombe, I Hammoud, J Messud, H Peng, T Lesieur, P Jeunesse
82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021
2021
Improving robustness of deep neural networks to amplitude pre-processing: Introduction of a “reweighting” layer.
P Jeunesse, J Messud, H Peng, I Hammoud, T Lesieur, C Lacombe
82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021
2021
Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case
T Lesieur, J Messud, I Hammoud, H Peng, C Lacombe, P Jeunesse
arXiv preprint arXiv:2011.00835, 2020
2020
Factorisation matricielle et tensorielle par une approche issue de la physique statistique
T Lesieur
Université Paris-Saclay (ComUE), 2017
2017
Matricial and tensorial factorisation using tools coming from statistical physics
T Lesieur
Université Paris Saclay (COmUE), 2017
2017
Theoretical Limits of Streaming Inference and Mini-Batch Message-Passing Algorithms
A Manoel, EW Tramel, T Lesieur, L Zdeborová, F Krzakala
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