Benjamin Aubin

21 papers A* 4Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast, faithful and photorealistic diffusion-based image super-resolution with enhanced Flow Map models. CoRR Maxence Noble, Gonzalo Iñaki Quintana, Benjamin Aubin, Clément Chadebec
2025	A*	`conf`	Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation. AAAI Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin
2025	J	`jnl`	LBM: Latent Bridge Matching for Fast Image-to-Image Translation. CoRR Clément Chadebec, Onur Tasar, Sanjeev Sreetharan, Benjamin Aubin
2024	J	`jnl`	Controllable Shadow Generation with Single-Step Diffusion Models from Synthetic Data. CoRR Onur Tasar, Clément Chadebec, Benjamin Aubin
2024	J	`jnl`	Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation. CoRR Clément Chadebec, Onur Tasar, Eyal Benaroche, Benjamin Aubin
2023	J	`jnl`	Tree-AMP: Compositional Inference with Tree Approximate Message Passing. J. Mach. Learn. Res. Antoine Baker, Florent Krzakala, Benjamin Aubin, Lenka Zdeborová
2021	J	`jnl`	Linear unit-tests for invariance discovery. CoRR Benjamin Aubin, Agnieszka Slowik, Martín Arjovsky, Léon Bottou, David Lopez-Paz
2021	J	`jnl`	Mean-field methods and algorithmic perspectives for high-dimensional machine learning. CoRR Benjamin Aubin
2021	J	`jnl`	The Spiked Matrix Model With Generative Priors. IEEE Trans. Inf. Theory Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová
2020	—	`conf`	Exact asymptotics for phase retrieval and compressed sensing with random generative priors. MSML Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová
2020	A*	`conf`	Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization. NeurIPS Benjamin Aubin, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
2020	J	`jnl`	Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization. CoRR Benjamin Aubin, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
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
2020	—	`conf`	Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. MSML Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová
2020	J	`jnl`	TRAMP: Compositional Inference with TRee Approximate Message Passing. CoRR Antoine Baker, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	Exact asymptotics for phase retrieval and compressed sensing with random generative priors. CoRR Benjamin Aubin, Bruno Loureiro, Antoine Baker, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	Rademacher complexity and spin glasses: A link between the replica and statistical theories of learning. CoRR Alia Abbara, Benjamin Aubin, Florent Krzakala, Lenka Zdeborová
2019	A*	`conf`	The spiked matrix model with generative priors. NeurIPS Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová
2019	J	`jnl`	The spiked matrix model with generative priors. CoRR Benjamin Aubin, Bruno Loureiro, Antoine Maillard, Florent Krzakala, Lenka Zdeborová
2018	A*	`conf`	The committee machine: Computational to statistical gaps in learning a two-layers neural network. NeurIPS Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová
2018	J	`jnl`	The committee machine: Computational to statistical gaps in learning a two-layers neural network. CoRR Benjamin Aubin, Antoine Maillard, Jean Barbier, Florent Krzakala, Nicolas Macris, Lenka Zdeborová