1 citations · 1 across the 3 of their papers we have counts for
4 papers
Global sensitivity analysis with multifidelity Monte Carlo and polynomial chaos expansion for carotid artery haemodynamics
Friederike Schäfer, Daniele E. Schiavazzi, Leif Rune Hellevik +1
Computational models of the cardiovascular system are increasingly used for the diagnosis, treatment, and prevention of cardiovascular disease. Before being used for translational…
LINFA: a Python library for variational inference with normalizing flow and annealing
Yu Wang, Emma R. Cobian, Jubilee Lee +3
Variational inference is an increasingly popular method in statistics and machine learning for approximating probability distributions. We developed LINFA (Library for Inference wi…
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records
Bingyue Su, Yu Wang, Daniele E. Schiavazzi +1
Electronic health records (EHR) often contain sensitive medical information about individual patients, posing significant limitations to sharing or releasing EHR data for downstrea…
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue
Guoxiang Grayson Tong, Daniele E. Schiavazzi
We propose a data-driven framework to increase the computational efficiency of the explicit finite element method in the structural analysis of soft tissue. An encoder-decoder long…