Optimal errors and phase transitions in high-dimensional generalized linear models J Barbier, F Krzakala, N Macris, L Miolane, L Zdeborová Proceedings of the National Academy of Sciences 116 (12), 5451-5460, 2019 | 267 | 2019 |

Fundamental limits of symmetric low-rank matrix estimation M Lelarge, L Miolane Conference on Learning Theory, 1297-1301, 2017 | 209 | 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 | 129 | 2017 |

The distribution of the lasso: Uniform control over sparse balls and adaptive parameter tuning L Miolane, A Montanari The Annals of Statistics 49 (4), 2021 | 119 | 2021 |

Fundamental limits of low-rank matrix estimation: the non-symmetric case L Miolane arXiv preprint arXiv:1702.00473, 2017 | 91 | 2017 |

A global dynamic long-term inundation extent dataset at high spatial resolution derived through downscaling of satellite observations F Aires, L Miolane, C Prigent, B Pham, E Fluet-Chouinard, B Lehner, ... Journal of Hydrometeorology 18 (5), 1305-1325, 2017 | 88 | 2017 |

The layered structure of tensor estimation and its mutual information J Barbier, N Macris, L Miolane 2017 55th Annual Allerton Conference on Communication, Control, and …, 2017 | 67 | 2017 |

Recovering asymmetric communities in the stochastic block model F Caltagirone, M Lelarge, L Miolane IEEE Transactions on Network Science and Engineering 5 (3), 237-246, 2017 | 46 | 2017 |

Statistical thresholds for tensor PCA A Jagannath, P Lopatto, L Miolane The Annals of Applied Probability 30 (4), 1910-1933, 2020 | 43 | 2020 |

Phase transitions, optimal errors and optimality of message-passing in generalized linear models J Barbier, F Krzakala, N Macris, L Miolane, L Zdeborová arXiv preprint arXiv:1708.03395 18, 2017 | 33 | 2017 |

Asymptotic bayes risk for gaussian mixture in a semi-supervised setting M Lelarge, L Miolane 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 27 | 2019 |

Phase transitions in spiked matrix estimation: information-theoretic analysis L Miolane arXiv preprint arXiv:1806.04343, 2018 | 20 | 2018 |

Optimal errors and phase transitions in high-dimensional generalized linear models J Barbier, F Krzakala, N Macris, L Miolane, L Zdeborová Conference On Learning Theory, 728-731, 2018 | 16 | 2018 |

Fundamental limits of inference: A statistical physics approach. L Miolane Ecole normale supérieure-ENS PARIS; Inria Paris, 2019 | 8 | 2019 |

GIEMS-D3: A new long-term, dynamical, high-spatial resolution inundation extent dataset at global scale F Aires, L Miolane, C Prigent, B Pham Duc, F Papa, E Fluet-Chouinard, ... EGU General Assembly Conference Abstracts, 8831, 2017 | 1 | 2017 |

Fundamental limits of inference: a statistical physics approach| Theses. fr L Miolane Paris Sciences et Lettres (ComUE), 2019 | | 2019 |

Fundamental limits of symmetric low-rank matrix estimation M Lelarge, L Miolane Probability Theory and Related Fields 173, 859-929, 2019 | | 2019 |

Cavity method for low-rank matrix factorization M Lelarge, L Miolane | | 2017 |

Lenka Zdeborová A Manoel, L Miolane, F Sausset, C Schulke, Y Sun, E Tramel | | |

Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models: Supplementary Informations J Barbier, F Krzakala, N Macris, L Miolane, L Zdeborová | | |