Daniele Schiavazzi

According to our database, Daniele Schiavazzi authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LINFA: a Python library for variational inference with normalizing flow and annealing.

Yu Wang, Emma R. Cobian, Jubilee Lee, Fang Liu, Jonathan D. Hauenstein, Daniele E. Schiavazzi

J. Open Source Softw., April, 2024

Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification.

Karthik Menon, Andrea Zanoni, Muhammad Owais Khan, Gianluca Geraci, Koen Nieman, Daniele E. Schiavazzi, Alison L. Marsden

CoRR, 2024

InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic models.

Guoxiang Grayson Tong, Carlos A. Sing-Long, Daniele E. Schiavazzi

CoRR, 2024

Quantification of total uncertainty in the physics-informed reconstruction of CVSim-6 physiology.

Mario De Florio, Zongren Zou, Daniele E. Schiavazzi, George Em Karniadakis

CoRR, 2024

NeurAM: nonlinear dimensionality reduction for uncertainty quantification through neural active manifolds.

Andrea Zanoni, Gianluca Geraci, Matteo Salvador, Alison L. Marsden, Daniele E. Schiavazzi

CoRR, 2024

Bayesian Windkessel calibration using optimized 0D surrogate models.

Jakob Richter, Jonas Nitzler, Luca Pegolotti, Karthik Menon, Jonas Biehler, Wolfgang A. Wall, Daniele E. Schiavazzi, Alison L. Marsden, Martin R. Pfaller

CoRR, 2024

2023

An analysis of reconstruction noise from undersampled 4D flow MRI.

Lauren Partin, Daniele E. Schiavazzi, Carlos A. Sing-Long

Biomed. Signal Process. Control., July, 2023

Multifidelity data fusion in convolutional encoder/decoder networks.

Lauren Partin, Gianluca Geraci, Ahmad A. Rushdi, Michael S. Eldred, Daniele E. Schiavazzi

J. Comput. Phys., 2023

A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis.

John D. Lee, Jakob Richter, Martin R. Pfaller, Jason M. Szafron, Karthik Menon, Andrea Zanoni, Michael R. Ma, Jeffrey A. Feinstein, Jacqueline Kreutzer, Alison L. Marsden, Daniele E. Schiavazzi

CoRR, 2023

InVAErt networks: a data-driven framework for emulation, inference and identifiability analysis.

Guoxiang Grayson Tong, Carlos A. Sing-Long, Daniele E. Schiavazzi

CoRR, 2023

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, Fang Liu

CoRR, 2023

2022

Variational inference with NoFAS: Normalizing flow with adaptive surrogate for computationally expensive models.

Yu Wang, Fang Liu, Daniele E. Schiavazzi

J. Comput. Phys., 2022

Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue.

Guoxiang Grayson Tong, Daniele E. Schiavazzi

CoRR, 2022

AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation.

Emma R. Cobian, Jonathan D. Hauenstein, Fang Liu, Daniele E. Schiavazzi

CoRR, 2022

2021

An ensemble solver for segregated cardiovascular FSI.

Xue Li, Daniele E. Schiavazzi

CoRR, 2021

2020

Geometric Uncertainty in Patient-Specific Cardiovascular Modeling with Convolutional Dropout Networks.

Gabriel D. Maher, Casey Fleeter, Daniele Schiavazzi, Alison L. Marsden

CoRR, 2020

2014

A matching pursuit approach to solenoidal filtering of three-dimensional velocity measurements.

Daniele Schiavazzi, Filippo Coletti, Gianluca Iaccarino, John K. Eaton

J. Comput. Phys., 2014