Bruno Loureiro
Title
Cited by
Cited by
Year
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
782018
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
422020
The spiked matrix model with generative priors
B Aubin, B Loureiro, A Maillard, F Krzakala, L Zdeborová
IEEE Transactions on Information Theory 67 (2), 1156-1181, 2020
272020
The Gaussian equivalence of generative models for learning with shallow neural networks
S Goldt, B Loureiro, G Reeves, M Mézard, F Krzakala, L Zdeborová
arXiv preprint arXiv:2006.14709, 2020
21*2020
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
132020
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
92020
Marginal and irrelevant disorder in Einstein-Maxwell backgrounds
AM García-García, B Loureiro
Physical Review D 93 (6), 065025, 2016
92016
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
Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model
B Loureiro, C Gerbelot, H Cui, S Goldt, F Krzakala, M Mézard, ...
arXiv preprint arXiv:2102.08127, 2021
62021
Coherence effects in disordered geometries with a field-theory dual
T Andrade, AM García-García, B Loureiro
Journal of High Energy Physics 187, 2017
32017
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
1*2021
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
2021
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
H Cui, B Loureiro, F Krzakala, L Zdeborová
arXiv preprint arXiv:2105.15004, 2021
2021
Disorder in holographic field theories: inhomogeneous geometries, momentum relaxation and SYK models
B Loureiro
University of Cambridge, 2019
2019
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Articles 1–14