Search Results for author: Benjamin Remy

Found 3 papers, 1 papers with code

Neural Posterior Estimation with Differentiable Simulators

no code implementations12 Jul 2022 Justine Zeghal, François Lanusse, Alexandre Boucaud, Benjamin Remy, Eric Aubourg

Simulation-Based Inference (SBI) is a promising Bayesian inference framework that alleviates the need for analytic likelihoods to estimate posterior distributions.

Bayesian Inference Density Estimation +1

Probabilistic Mass Mapping with Neural Score Estimation

no code implementations14 Jan 2022 Benjamin Remy, Francois Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck, Ken Osato, Tim Schrabback

We introduce a novel methodology allowing for efficient sampling of the high-dimensional Bayesian posterior of the weak lensing mass-mapping problem, and relying on simulations for defining a fully non-Gaussian prior.

Denoising Score-Matching for Uncertainty Quantification in Inverse Problems

1 code implementation16 Nov 2020 Zaccharie Ramzi, Benjamin Remy, Francois Lanusse, Jean-Luc Starck, Philippe Ciuciu

Deep neural networks have proven extremely efficient at solving a wide rangeof inverse problems, but most often the uncertainty on the solution they provideis hard to quantify.

Denoising MRI Reconstruction

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