Benjamin Aubin

Orcid: 0000-0002-8022-5247

According to our database1, Benjamin Aubin authored at least 10 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Tree-AMP: Compositional Inference with Tree Approximate Message Passing.
J. Mach. Learn. Res., 2023

2021
The Spiked Matrix Model With Generative Priors.
IEEE Trans. Inf. Theory, 2021

Mean-field methods and algorithmic perspectives for high-dimensional machine learning.
CoRR, 2021

Linear unit-tests for invariance discovery.
CoRR, 2021

2020
Mean-field methods and algorithmic perspectives for high-dimensional machine learning. (Méthodes à champ moyen et perspectives algorithmiques pour l'apprentissage automatique en haute dimension).
PhD thesis, 2020

TRAMP: Compositional Inference with TRee Approximate Message Passing.
CoRR, 2020

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exact asymptotics for phase retrieval and compressed sensing with random generative priors.
Proceedings of Mathematical and Scientific Machine Learning, 2020

Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning.
Proceedings of Mathematical and Scientific Machine Learning, 2020

2018
The committee machine: Computational to statistical gaps in learning a two-layers neural network.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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