| 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 | 130 | 2020 |
| 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 | 126 | 2018 |
| 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 | 112* | 2021 |
| 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 | 92 | 2022 |
| 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 | 51 | 2019 |
| 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 | 45 | 2020 |
| 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 | 41 | 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 | 37 | 2021 |
| 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 | 30 | 2020 |
| Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks R Veiga, L Stephan, B Loureiro, F Krzakala, L Zdeborová Advances in Neural Information Processing Systems 35, 23244-23255, 2022 | 25 | 2022 |
| Gaussian Universality of Perceptrons with Random Labels F Gerace, F Krzakala, B Loureiro, L Stephan, L Zdeborová | 21* | 2023 |
| 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 | 16 | 2022 |
| Marginal and irrelevant disorder in Einstein-Maxwell backgrounds AM Garcia-Garcia, B Loureiro Physical Review D 93 (6), 065025, 2016 | 13 | 2016 |
| From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks L Arnaboldi, L Stephan, F Krzakala, B Loureiro arXiv preprint arXiv:2302.05882, 2023 | 10 | 2023 |
| 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 4 (1), 015019, 2023 | 9 | 2023 |
| Error scaling laws for kernel classification under source and capacity conditions H Cui, B Loureiro, F Krzakala, L Zdeborová Machine Learning: Science and Technology 4 (3), 035033, 2023 | 8* | 2023 |
| On double-descent in uncertainty quantification in overparametrized models L Clarté, B Loureiro, F Krzakala, L Zdeborová International Conference on Artificial Intelligence and Statistics, 7089-7125, 2023 | 8* | 2023 |
| 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 | 8 | 2016 |
| Theoretical characterization of uncertainty in high-dimensional linear classification L Clarté, B Loureiro, F Krzakala, L Zdeborová Machine Learning: Science and Technology 4 (2), 025029, 2023 | 7 | 2023 |
| Learning Two-Layer Neural Networks, One (Giant) Step at a Time Y Dandi, F Krzakala, B Loureiro, L Pesce, L Stephan arXiv preprint arXiv:2305.18270, 2023 | 7 | 2023 |
Florent KrzakalaÉcole polytechnique fédérale de LausanneVerified email at epfl.ch
