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 | 367* | 2016 |
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 | 150 | 2017 |
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 | 134 | 2017 |
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 | 125 | 2015 |
Phase transitions in sparse PCA T Lesieur, F Krzakala, L Zdeborová 2015 IEEE International Symposium on Information Theory (ISIT), 1635-1639, 2015 | 94 | 2015 |
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 | 40 | 2016 |
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 | 19 | 2017 |
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 | 10 | 2015 |
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 | 5 | 2021 |
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 | 5 | 2021 |
Advances in Neural Information Processing Systems (NIPS) J Barbier, M Dia, N Macris, F Krzakala, T Lesieur, L Zdeborová NeurIPS Proceedings 29, 424-432, 2016 | 3 | 2016 |
2015 IEEE International Symposium on Information Theory (ISIT) T Lesieur, F Krzakala, L Zdeborová IEEE, 2015 | 3 | 2015 |
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 | 2 | 2021 |
Matricial and tensorial factorisation using tools coming from statistical physics T Lesieur Université Paris Saclay (COmUE), 2017 | 2 | 2017 |
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 |
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 | | 2017 |
Theoretical Limits of Streaming Inference and Mini-Batch Message-Passing Algorithms A Manoel, EW Tramel, T Lesieur, L Zdeborová, F Krzakala | | |