Daniele E. Schiavazzi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Variational Inference

Probability Density

Top Venues

J. Comput. Phys.

Biomed. Signal Process. Control.

J. Open Source Softw.

Publications

Jakob Richter, Jonas Nitzler, Luca Pegolotti, Karthik Menon, Jonas Biehler, Wolfgang A. Wall, Daniele E. Schiavazzi, Alison L. Marsden, Martin R. Pfaller
Bayesian Windkessel calibration using optimized 0D surrogate models. CoRR (2024)
Yu Wang, Emma R. Cobian, Jubilee Lee, Fang Liu, Jonathan D. Hauenstein, Daniele E. Schiavazzi
LINFA: a Python library for variational inference with normalizing flow and annealing. J. Open Source Softw. 9 (96) (2024)
Guoxiang Grayson Tong, Carlos A. Sing-Long, Daniele E. Schiavazzi
InVAErt networks: a data-driven framework for emulation, inference and identifiability analysis. CoRR (2023)
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
A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis. CoRR (2023)
Bingyue Su, Yu Wang, Daniele E. Schiavazzi, Fang Liu
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records. CoRR (2023)
Yu Wang, Emma R. Cobian, Jubilee Lee, Fang Liu, Jonathan D. Hauenstein, Daniele E. Schiavazzi
LINFA: a Python library for variational inference with normalizing flow and annealing. CoRR (2023)
Lauren Partin, Daniele E. Schiavazzi, Carlos A. Sing-Long
An analysis of reconstruction noise from undersampled 4D flow MRI. Biomed. Signal Process. Control. 84 (2023)
Lauren Partin, Gianluca Geraci, Ahmad A. Rushdi, Michael S. Eldred, Daniele E. Schiavazzi
Multifidelity data fusion in convolutional encoder/decoder networks. J. Comput. Phys. 472 (2023)
Lauren Partin, Gianluca Geraci, Ahmad Rushdi, Michael S. Eldred, Daniele E. Schiavazzi
Multifidelity data fusion in convolutional encoder/decoder networks. CoRR (2022)
Guoxiang Grayson Tong, Daniele E. Schiavazzi
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue. CoRR (2022)
Emma R. Cobian, Jonathan D. Hauenstein, Fang Liu, Daniele E. Schiavazzi
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation. CoRR (2022)
Yu Wang, Fang Liu, Daniele E. Schiavazzi
Variational inference with NoFAS: Normalizing flow with adaptive surrogate for computationally expensive models. J. Comput. Phys. 467 (2022)
Lauren Partin, Daniele E. Schiavazzi, Carlos A. Sing-Long
An analysis of reconstruction noise from undersampled 4D flow MRI. CoRR (2022)
Yu Wang, Fang Liu, Daniele E. Schiavazzi
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models. CoRR (2021)
Xue Li, Daniele E. Schiavazzi
An ensemble solver for segregated cardiovascular FSI. CoRR (2021)