105 citations · 125 across the 35 of their papers we have counts for
3 papers · 1 filter
Posterior sampling by source-space MCMC via prior-based few-step transport maps
Hoang Phuc Hau Luu, Marcelo Hartmann, Zhongjian Wang
Bayesian inference increasingly uses informative but implicit priors represented only by samples, such as historical ensembles, simulator outputs, and pretrained generative models.…
Preconditioned One-Step Generative Modeling for Bayesian Inverse Problems in Function Spaces
Zilan Cheng, Li-Lian Wang, Zhongjian Wang
We propose a machine-learning algorithm for Bayesian inverse problems in the function-space regime. Based on one-step generative transport, the method learns an amortized neural op…
DPOT: A DeepParticle method for Computation of Optimal Transport with convergence guarantee
Yingyuan Li, Aokun Wang, Zhongjian Wang
In this work, we propose a novel machine learning approach to compute the optimal transport map between two continuous distributions from their unpaired samples, based on the DeepP…