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Benjamin Aubin
Benjamin Aubin
Init ML - ClipDrop
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Title
Cited by
Cited by
Year
The committee machine: Computational to statistical gaps in learning a two-layers neural network
B Aubin, A Maillard, F Krzakala, N Macris, L Zdeborová
Advances in Neural Information Processing Systems 31, 2018
972018
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
552019
Storage capacity in symmetric binary perceptrons
B Aubin, W Perkins, L Zdeborová
Journal of Physics A: Mathematical and Theoretical 52 (29), 294003, 2019
532019
Generalization error in high-dimensional perceptrons: Approaching bayes error with convex optimization
B Aubin, F Krzakala, Y Lu, L Zdeborová
Advances in Neural Information Processing Systems 33, 12199-12210, 2020
482020
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
332020
Linear unit-tests for invariance discovery
B Aubin, A Słowik, M Arjovsky, L Bottou, D Lopez-Paz
arXiv preprint arXiv:2102.10867, 2021
322021
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
182020
Tree-AMP: Compositional inference with tree approximate message passing
A Baker, F Krzakala, B Aubin, L Zdeborová
Journal of Machine Learning Research 24 (57), 1-89, 2023
72023
Mean-field methods and algorithmic perspectives for high-dimensional machine learning
B Aubin
arXiv preprint arXiv:2103.05945, 2021
32021
Precise asymptotics for phase retrieval and compressed sensing with random generative priors
B Aubin, B Loureiro, A Baker, F Krzakala, L Zdeborová
NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019
12019
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