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Bruno Loureiro
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Chaotic-integrable transition in the Sachdev-Ye-Kitaev model
AM García-García, B Loureiro, A Romero-Bermúdez, M Tezuka
Physical review letters 120 (24), 241603, 2018
972018
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
892020
The Gaussian equivalence of generative models for learning with shallow neural networks
S Goldt, B Loureiro, G Reeves, F Krzakala, M Mézard, L Zdeborová
Mathematical and Scientific Machine Learning, 426-471, 2022
50*2022
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, ...
Advances in Neural Information Processing Systems 34, 18137-18151, 2021
47*2021
The spiked matrix model with generative priors
B Aubin, B Loureiro, A Maillard, F Krzakala, L Zdeborová
Advances in Neural Information Processing Systems 32, 2019
412019
Phase retrieval in high dimensions: Statistical and computational phase transitions
A Maillard, B Loureiro, F Krzakala, L Zdeborová
Advances in Neural Information Processing Systems 33, 11071--11082, 2020
282020
Exact asymptotics for phase retrieval and compressed sensing with random generative priors
B Aubin, B Loureiro, A Baker, F Krzakala, L Zdeborová
Mathematical and Scientific Machine Learning, 55-73, 2020
262020
Generalization error rates in kernel regression: The crossover from the noiseless to noisy regime
H Cui, B Loureiro, F Krzakala, L Zdeborová
Advances in Neural Information Processing Systems 34, 10131-10143, 2021
192021
Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions
B Loureiro, G Sicuro, C Gerbelot, A Pacco, F Krzakala, L Zdeborová
arXiv preprint arXiv:2106.03791, 2021
162021
Marginal and irrelevant disorder in Einstein-Maxwell backgrounds
AM Garcia-Garcia, B Loureiro
Physical Review D 93 (6), 065025, 2016
122016
Transport in a gravity dual with a varying gravitational coupling constant
AM García-García, B Loureiro, A Romero-Bermúdez
Physical Review D 94 (8), 086007, 2016
82016
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
R Veiga, L Stephan, B Loureiro, F Krzakala, L Zdeborová
arXiv preprint arXiv:2202.00293, 2022
72022
Gaussian universality of linear classifiers with random labels in high-dimension
F Gerace, F Krzakala, B Loureiro, L Stephan, L Zdeborová
arXiv preprint arXiv:2205.13303, 2022
62022
Coherence effects in disordered geometries with a field-theory dual
T Andrade, AM García-García, B Loureiro
Journal of High Energy Physics 187, 2017
42017
Fluctuations, bias, variance & ensemble of learners: Exact asymptotics for convex losses in high-dimension
B Loureiro, C Gerbelot, M Refinetti, G Sicuro, F Krzakala
International Conference on Machine Learning, 14283-14314, 2022
32022
Comment on" Chaotic-Integrable Transition in the Sachdev-Ye-Kitaev Model" Reply
AM Garcia-Garcia, B Loureiro, A Romero-Bermudez, M Tezuka
PHYSICAL REVIEW LETTERS 126 (10), 2021
3*2021
Error Rates for Kernel Classification under Source and Capacity Conditions
H Cui, B Loureiro, F Krzakala, L Zdeborová
arXiv preprint arXiv:2201.12655, 2022
22022
Learning curves for the multi-class teacher-student perceptron
E Cornacchia, F Mignacco, R Veiga, C Gerbelot, B Loureiro, L Zdeborová
Machine Learning: Science and Technology, 2022
22022
Secure Coding via Gaussian Random Fields
A Bereyhi, B Loureiro, F Krzakala, RR Müller, H Schulz-Baldes
2022 IEEE International Symposium on Information Theory (ISIT), 1241-1246, 2022
12022
Theoretical characterization of uncertainty in high-dimensional linear classification
L Clarté, B Loureiro, F Krzakala, L Zdeborová
arXiv preprint arXiv:2202.03295, 2022
12022
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