Följ
Lenka Zdeborová
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Machine learning and the physical sciences
G Carleo, I Cirac, K Cranmer, L Daudet, M Schuld, N Tishby, ...
Reviews of Modern Physics 91 (4), 045002, 2019
25672019
Asymptotic analysis of the stochastic block model for modular networks and its algorithmic applications
A Decelle, F Krzakala, C Moore, L Zdeborová
Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 84 (6 …, 2011
9622011
Spectral redemption in clustering sparse networks
F Krzakala, C Moore, E Mossel, J Neeman, A Sly, L Zdeborová, P Zhang
Proceedings of the National Academy of Sciences 110 (52), 20935-20940, 2013
7502013
Gibbs states and the set of solutions of random constraint satisfaction problems
F Krzakała, A Montanari, F Ricci-Tersenghi, G Semerjian, L Zdeborová
Proceedings of the National Academy of Sciences 104 (25), 10318-10323, 2007
5522007
Statistical physics of inference: Thresholds and algorithms
L Zdeborová, F Krzakala
Advances in Physics 65 (5), 453-552, 2016
5182016
Inference and phase transitions in the detection of modules in sparse networks
A Decelle, F Krzakala, C Moore, L Zdeborová
Physical Review Letters 107 (6), 065701, 2011
4372011
Inferring the origin of an epidemic with a dynamic message-passing algorithm
AY Lokhov, M Mézard, H Ohta, L Zdeborová
Physical Review E 90 (1), 012801, 2014
3652014
Statistical-physics-based reconstruction in compressed sensing
F Krzakala, M Mézard, F Sausset, YF Sun, L Zdeborová
Physical Review X 2 (2), 021005, 2012
3512012
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
3372019
Probabilistic reconstruction in compressed sensing: algorithms, phase diagrams, and threshold achieving matrices
F Krzakala, M Mézard, F Sausset, Y Sun, L Zdeborová
Journal of Statistical Mechanics: Theory and Experiment 2012 (08), P08009, 2012
3282012
Phase transitions in the coloring of random graphs
L Zdeborová, F Krząkała
Physical Review E 76 (3), 031131, 2007
3062007
Percolation on sparse networks
B Karrer, MEJ Newman, L Zdeborová
Physical review letters 113 (20), 208702, 2014
2992014
Network dismantling
A Braunstein, L Dall’Asta, G Semerjian, L Zdeborová
Proceedings of the National Academy of Sciences 113 (44), 12368-12373, 2016
2752016
Modeling the Influence of Data Structure on Learning in Neural Networks: The Hidden Manifold Model
S Goldt, M Mézard, F Krzakala, L Zdeborová
Physical Review X 10 (4), 041044, 2020
240*2020
Entropy and mutual information in models of deep neural networks
M Gabrié, A Manoel, C Luneau, J Barbier, N Macris, F Krzakala, ...
Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124014, 2019
2182019
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
J Barbier, M Dia, N Macris, F Krzakala, T Lesieur, L Zdeborová
Advances in Neural Information Processing Systems, 424-432, 2016
210*2016
Generalisation error in learning with random features and the hidden manifold model
F Gerace, B Loureiro, F Krzakala, M Mézard, L Zdeborová
International Conference on Machine Learning, 3452-3462, 2020
1982020
Learning curves of generic features maps for realistic datasets with a teacher-student model
B Loureiro, C Gerbelot, H Cui, S Goldt, F Krzakala, M Mezard, ...
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
195*2021
Adaptive damping and mean removal for the generalized approximate message passing algorithm
J Vila, P Schniter, S Rangan, F Krzakala, L Zdeborová
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
1832015
Spectral Clustering of graphs with the Bethe Hessian
A Saade, F Krzakala, L Zdeborová
Advances in Neural Information Processing Systems, 406-414, 2014
1822014
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Artiklar 1–20