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2020 – today
- 2024
[i9]Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin:
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation. CoRR abs/2406.02347 (2024)- 2023
- [j2]Antoine Baker, Florent Krzakala
, Benjamin Aubin, Lenka Zdeborová:
Tree-AMP: Compositional Inference with Tree Approximate Message Passing. J. Mach. Learn. Res. 24: 57:1-57:89 (2023) - 2021
- [j1]Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová:
The Spiked Matrix Model With Generative Priors. IEEE Trans. Inf. Theory 67(2): 1156-1181 (2021) - [i8]Benjamin Aubin, Agnieszka Slowik, Martín Arjovsky, Léon Bottou, David Lopez-Paz:
Linear unit-tests for invariance discovery. CoRR abs/2102.10867 (2021) - [i7]Benjamin Aubin:
Mean-field methods and algorithmic perspectives for high-dimensional machine learning. CoRR abs/2103.05945 (2021) - 2020
- [b1]Benjamin Aubin:
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). University of Paris-Saclay, France, 2020 - [c5]Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová:
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. MSML 2020: 27-54 - [c4]Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová:
Exact asymptotics for phase retrieval and compressed sensing with random generative priors. MSML 2020: 55-73 - [c3]Benjamin Aubin, Florent Krzakala, Yue M. Lu, Lenka Zdeborová:
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization. NeurIPS 2020 - [i6]Antoine Baker, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová:
TRAMP: Compositional Inference with TRee Approximate Message Passing. CoRR abs/2004.01571 (2020) - [i5]Benjamin Aubin, Florent Krzakala, Yue M. Lu, Lenka Zdeborová:
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization. CoRR abs/2006.06560 (2020)
2010 – 2019
- 2019
- [c2]Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová:
The spiked matrix model with generative priors. NeurIPS 2019: 8364-8375 - [i4]Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová:
The spiked matrix model with generative priors. CoRR abs/1905.12385 (2019) - [i3]Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová:
Exact asymptotics for phase retrieval and compressed sensing with random generative priors. CoRR abs/1912.02008 (2019) - [i2]Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová:
Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. CoRR abs/1912.02729 (2019) - 2018
- [c1]Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová:
The committee machine: Computational to statistical gaps in learning a two-layers neural network. NeurIPS 2018: 3227-3238 - [i1]Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová:
The committee machine: Computational to statistical gaps in learning a two-layers neural network. CoRR abs/1806.05451 (2018)
Coauthor Index
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