48 citations · 101 across the 11 of their papers we have counts for
3 papers · 1 filter
Convergence of denoising diffusion models under the manifold hypothesis
Valentin De Bortoli
Denoising diffusion models are a recent class of generative models exhibiting state-of-the-art performance in image and audio synthesis. Such models approximate the time-reversal o…
Can Push-forward Generative Models Fit Multimodal Distributions?
Antoine Salmona, Valentin de Bortoli, Julie Delon +1
Many generative models synthesize data by transforming a standard Gaussian random variable using a deterministic neural network. Among these models are the Variational Autoencoders…
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent
Rémi Laumont, Valentin de Bortoli, Andrés Almansa +3
Bayesian methods to solve imaging inverse problems usually combine an explicit data likelihood function with a prior distribution that explicitly models expected properties of the…