The committee machine: Computational to statistical gaps in learning a two-layers neural network B Aubin, A Maillard, J Barbier, F Krzakala, N Macris, L Zdeborová Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124023, 2019 | 42 | 2019 |
The spiked matrix model with generative priors B Aubin, B Loureiro, A Maillard, F Krzakala, L Zdeborová IEEE Transactions on Information Theory, 2020 | 23 | 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 | 11 | 2020 |
Storage capacity in symmetric binary perceptrons B Aubin, W Perkins, L Zdeborová Journal of Physics A: Mathematical and Theoretical 52 (29), 294003, 2019 | 11 | 2019 |
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning A Abbaras, B Aubin, F Krzakala, L Zdeborová Mathematical and Scientific Machine Learning, 27-54, 2020 | 5 | 2020 |
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization B Aubin, F Krzakala, YM Lu, L Zdeborová arXiv preprint arXiv:2006.06560, 2020 | 5 | 2020 |
Tramp: Compositional inference with tree approximate message passing A Baker, B Aubin, F Krzakala, L Zdeborová arXiv preprint arXiv:2004.01571, 2020 | 3 | 2020 |
Linear unit-tests for invariance discovery B Aubin, A Słowik, M Arjovsky, L Bottou, D Lopez-Paz arXiv preprint arXiv:2102.10867, 2021 | | 2021 |
Mean-field methods and algorithmic perspectives for high-dimensional machine learning B Aubin Université Paris-Saclay, 2020 | | 2020 |