Benjamin Aubin

According to our database, Benjamin Aubin authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Fast, faithful and photorealistic diffusion-based image super-resolution with enhanced Flow Map models.

Maxence Noble, Gonzalo Iñaki Quintana, Benjamin Aubin, Clément Chadebec

CoRR, January, 2026

2025

LBM: Latent Bridge Matching for Fast Image-to-Image Translation.

Clément Chadebec, Onur Tasar, Sanjeev Sreetharan, Benjamin Aubin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation.

Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data.

Onur Tasar, Clément Chadebec, Benjamin Aubin

CoRR, 2024

2023

Tree-AMP: Compositional Inference with Tree Approximate Message Passing.

Antoine Baker, Florent Krzakala, Benjamin Aubin, Lenka Zdeborová

J. Mach. Learn. Res., 2023

2021

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

Benjamin Aubin

CoRR, 2021

Linear unit-tests for invariance discovery.

Benjamin Aubin, Agnieszka Slowik, Martín Arjovsky, Léon Bottou, David Lopez-Paz

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).

Benjamin Aubin

PhD thesis, 2020

TRAMP: Compositional Inference with TRee Approximate Message Passing.

Antoine Baker, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová

CoRR, 2020

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization.

Benjamin Aubin, Florent Krzakala, Yue M. Lu, Lenka Zdeborová

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.

Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová

Proceedings of Mathematical and Scientific Machine Learning, 2020

Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning.

Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová

Proceedings of Mathematical and Scientific Machine Learning, 2020

2019

The spiked matrix model with generative priors.

Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The committee machine: Computational to statistical gaps in learning a two-layers neural network.

Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018