Daniele Schiavazzi

According to our database, Daniele Schiavazzi authored at least 27 papers between 2014 and 2026.

Collaborative distances:

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

2026

Model synthesis and identifiability analysis of stiff chemical reaction systems with inVAErt networks.

Sreejata Dey, Guoxiang Grayson Tong, Jonathan F. MacArt, Daniele E. Schiavazzi

CoRR, May, 2026

FalconBC: Flow matching for Amortized inference of Latent-CONditioned physiologic Boundary Conditions.

Chloe H. Choi, Alison L. Marsden, Daniele E. Schiavazzi

CoRR, March, 2026

Conditional Normalizing Flows for Forward and Backward Joint State and Parameter Estimation.

Luke S. Lagunowich, Guoxiang Grayson Tong, Daniele E. Schiavazzi

CoRR, January, 2026

On the accuracy of implicit neural representations for cardiovascular anatomies and hemodynamic fields.

Jubilee Lee, Daniele E. Schiavazzi

Comput. Biol. Medicine, 2026

On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions.

Chloe H. Choi, Andrea Zanoni, Daniele E. Schiavazzi, Alison L. Marsden

Comput. Biol. Medicine, 2026

2025

Neural Active Manifolds: Nonlinear Dimensionality Reduction for Uncertainty Quantification.

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

J. Sci. Comput., December, 2025

Assessing the performance of correlation-based multi-fidelity neural emulators.

Cristian J. Villatoro, Gianluca Geraci, Daniele E. Schiavazzi

CoRR, December, 2025

On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiologic boundary conditions.

Chloe H. Choi, Andrea Zanoni, Daniele E. Schiavazzi, Alison L. Marsden

CoRR, June, 2025

Enabling stratified sampling in high dimensions via nonlinear dimensionality reduction.

Gianluca Geraci, Daniele E. Schiavazzi, Andrea Zanoni

CoRR, June, 2025

Optimal patient allocation for echocardiographic assessments.

Bozhi Sun, Seda Tierney, Jeffrey A. Feinstein, Frederick Damen, Alison L. Marsden, Daniele E. Schiavazzi

CoRR, June, 2025

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

Comput. Methods Programs Biomed., 2025

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

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