Pinned Repositories
dais
Code used for the paper "Doubly Adaptive Importance Sampling" by Willem van den Boom, Andrea Cremaschi and Alexandre H. Thiery
data-assimilation
Python code for data assimilation methods
decoupled-DNN-calibration
manifold-mcmc-for-diffusions
Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
manifold_lifting
Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'
Thiery lab's Repositories
thiery-lab/data-assimilation
Python code for data assimilation methods
thiery-lab/manifold-mcmc-for-diffusions
Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
thiery-lab/manifold_lifting
Accompanying code for 'Manifold lifting: scaling MCMC to the vanishing noise regime'
thiery-lab/decoupled-DNN-calibration
thiery-lab/dais
Code used for the paper "Doubly Adaptive Importance Sampling" by Willem van den Boom, Andrea Cremaschi and Alexandre H. Thiery