# Florent Krzakala

## Affiliations: | 2020 | Physics | École normale supérieure Paris, Paris, Île-de-France, France |

2020- | Engineering | École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |

##### Google:

"Florent Krzakala"##### Mean distance: (not calculated yet)

BETA: Related publications

See more...

#### Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |

El Alaoui A, Krzakala F, Jordan M. (2020) Fundamental limits of detection in the spiked Wigner model Annals of Statistics. 48: 863-885 |

Barbier J, Macris N, Dia M, et al. (2020) Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation Ieee Transactions On Information Theory. 66: 4270-4303 |

Sarao Mannelli S, Biroli G, Cammarota C, et al. (2020) Marvels and Pitfalls of the Langevin Algorithm in Noisy High-Dimensional Inference Physical Review X. 10 |

Gabrié M, Barbier J, Krzakala F, et al. (2020) Blind calibration for compressed sensing: state evolution and an online algorithm Journal of Physics A. 53: 334004 |

Abbara A, Baker A, Krzakala F, et al. (2020) On the universality of noiseless linear estimation with respect to the measurement matrix Journal of Physics A. 53: 164001 |

Barbier J, Krzakala F, Macris N, et al. (2019) Optimal errors and phase transitions in high-dimensional generalized linear models. Proceedings of the National Academy of Sciences of the United States of America. 116: 5451-5460 |

Alaoui AE, Ramdas A, Krzakala F, et al. (2019) Decoding from Pooled Data: Sharp Information-Theoretic Bounds Siam Journal On Mathematics of Data Science. 1: 161-188 |

El Alaoui A, Ramdas A, Krzakala F, et al. (2019) Decoding From Pooled Data: Phase Transitions of Message Passing Ieee Transactions On Information Theory. 65: 572-585 |

Maillard A, Foini L, Castellanos AL, et al. (2019) High-temperature expansions and message passing algorithms Journal of Statistical Mechanics: Theory and Experiment. 2019: 113301 |

Aubin B, Maillard A, Barbier J, et al. (2019) The committee machine: computational to statistical gaps in learning a two-layers neural network Journal of Statistical Mechanics: Theory and Experiment. 2019: 124023 |