Search Results for author: Jack Simons

Found 3 papers, 2 papers with code

Minimizing $f$-Divergences by Interpolating Velocity Fields

1 code implementation24 May 2023 Song Liu, Jiahao Yu, Jack Simons, Mingxuan Yi, Mark Beaumont

Wasserstein Gradient Flow can move particles along a path that minimizes the $f$-divergence between the target and particle distributions.

Domain Adaptation Imputation

Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models

1 code implementation10 Oct 2022 Louis Sharrock, Jack Simons, Song Liu, Mark Beaumont

We embed the model into a sequential training procedure, which guides simulations using the current approximation of the posterior at the observation of interest, thereby reducing the simulation cost.

Bayesian Inference

Cannot find the paper you are looking for? You can Submit a new open access paper.