15 citations · 61 across the 20 of their papers we have counts for
22 papers
Generative Consistency Models for Estimation of Kinetic Parametric Image Posteriors in Total-Body PET
Yun Zhao, Qinlin Gu, Georgios I. Angelis +3
Dynamic total body positron emission tomography (TB-PET) makes it feasible to measure the kinetics of all organs in the body simultaneously which may lead to important applications…
ABMB: Deep Delensing Assisted Likelihood-Free Inference from CMB Polarization Maps
Kai Yi, Yanan Fan, Jan Hamann +2
The existence of a cosmic background of primordial gravitational waves (PGWB) is a robust prediction of inflationary cosmology, but it has so far evaded discovery. The most promisi…
On the optimization and pruning for Bayesian deep learning
Xiongwen Ke, Yanan Fan
The goal of Bayesian deep learning is to provide uncertainty quantification via the posterior distribution. However, exact inference over the weight space is computationally intrac…
Bayesian regression
Xiongwen Ke, Yanan Fan
It is well known that Bridge regression enjoys superior theoretical properties when compared to traditional LASSO. However, the current latent variable representation of its Bayesi…
CosmoVAE: Variational Autoencoder for CMB Image Inpainting
Kai Yi, Yi Guo, Yanan Fan +2
Cosmic microwave background radiation (CMB) is critical to the understanding of the early universe and precise estimation of cosmological constants. Due to the contamination of the…
A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models
Clara Grazian, Yanan Fan
This paper provides a review of Approximate Bayesian Computation (ABC) methods for carrying out Bayesian posterior inference, through the lens of density estimation. We describe se…