E-LIB Suche - Ergebnisse für: Krzakala, Florent

1

Sampling with flows, diffusion, and autoregressive neural n..:

Ghio, Davide ; Dandi, Yatin ; Krzakala, Florent.
Proceedings of the National Academy of Sciences. 121 (2024) 27 - p. , 2024

Link: https://doi.org/10.1073/..

2

Rigorous Dynamical Mean-Field Theory for Stochastic Gradien..:

Gerbelot, Cédric ; Troiani, Emanuele ; Mignacco, Francesca..
SIAM Journal on Mathematics of Data Science. 6 (2024) 2 - p. 400-427 , 2024

Link: https://doi.org/10.1137/..

3

On the atypical solutions of the symmetric binary perceptro:

Barbier, Damien ; El Alaoui, Ahmed ; Krzakala, Florent.
Journal of Physics A: Mathematical and Theoretical. 57 (2024) 19 - p. 195202 , 2024

Link: https://doi.org/10.1088/..

4

Quenches in the Sherrington–Kirkpatrick model:

Erba, Vittorio ; Behrens, Freya ; Krzakala, Florent.
Journal of Statistical Mechanics: Theory and Experiment. 2024 (2024) 8 - p. 083302 , 2024

Link: https://doi.org/10.1088/..

5

Statistical mechanics of the maximum-average submatrix prob..:

Erba, Vittorio ; Krzakala, Florent ; Pérez Ortiz, Rodrigo.
Journal of Statistical Mechanics: Theory and Experiment. 2024 (2024) 1 - p. 013403 , 2024

Link: https://doi.org/10.1088/..

6

Gaussian universality of perceptrons with random labels:

Gerace, Federica ; Krzakala, Florent ; Loureiro, Bruno..
Physical Review E. 109 (2024) 3 - p. , 2024

Link: https://doi.org/10.1103/..

7

Bayesian Inference With Nonlinear Generative Models: Commen..:

Bereyhi, Ali ; Loureiro, Bruno ; Krzakala, Florent..
IEEE Transactions on Information Theory. 69 (2023) 12 - p. 7998-8028 , 2023

Link: https://doi.org/10.1109/..

8

Error scaling laws for kernel classification under source a..:

Cui, Hugo ; Loureiro, Bruno ; Krzakala, Florent.
Machine Learning: Science and Technology. 4 (2023) 3 - p. 035033 , 2023

Link: https://doi.org/10.1088/..

9

Multi-layer state evolution under random convolutional desi..:

Daniels, Max ; Gerbelot, Cédric ; Krzakala, Florent.
Journal of Statistical Mechanics: Theory and Experiment. 2023 (2023) 11 - p. 114002 , 2023

Link: https://doi.org/10.1088/..

10

Theoretical characterization of uncertainty in high-dimensi..:

Clarté, Lucas ; Loureiro, Bruno ; Krzakala, Florent.
Machine Learning: Science and Technology. 4 (2023) 2 - p. 025029 , 2023

Link: https://doi.org/10.1088/..

11

Bayesian reconstruction of memories stored in neural networ..:

Goldt, Sebastian ; Krzakala, Florent ; Zdeborová, Lenka..
PLOS Computational Biology. 19 (2023) 1 - p. e1010813 , 2023

Link: https://doi.org/10.1371/..

12

Asymptotic Errors for Teacher-Student Convex Generalized Li..:

Gerbelot, Cedric ; Abbara, Alia ; Krzakala, Florent
IEEE Transactions on Information Theory. 69 (2023) 3 - p. 1824-1852 , 2023

Link: https://doi.org/10.1109/..

13

Phase diagram of stochastic gradient descent in high-dimens..:

Veiga, Rodrigo ; Stephan, Ludovic ; Loureiro, Bruno..
Journal of Statistical Mechanics: Theory and Experiment. 2023 (2023) 11 - p. 114008 , 2023

Link: https://doi.org/10.1088/..

14

Artificial Neural Network Training on an Optical Processor ..:

, In: 2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC),

Muller, Kilian ; Launay, Julien ; Poli, Iacopo... - p. 1-1 , 2023

Link: https://doi.org/10.1109/..

15

Fluctuations, bias, variance and ensemble of learners: exac..:

Loureiro, Bruno ; Gerbelot, Cédric ; Refinetti, Maria..
Journal of Statistical Mechanics: Theory and Experiment. 2023 (2023) 11 - p. 114001 , 2023

Link: https://doi.org/10.1088/..