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07/24/2023
InVAErt networks: a data-driven framework for emulation, inference and identifiability analysis
Use of generative models and deep learning for physics-based systems is ...
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07/10/2023
LINFA: a Python library for variational inference with normalizing flow and annealing
Variational inference is an increasingly popular method in statistics an...
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02/11/2023
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records
Electronic health records (EHR) often contain sensitive medical informat...
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07/05/2022
Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue
We propose a data-driven framework to increase the computational efficie...
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05/10/2022
Multifidelity data fusion in convolutional encoder/decoder networks
We analyze the regression accuracy of convolutional neural networks asse...
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02/01/2022
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation
Approximating probability distributions can be a challenging task, parti...
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01/11/2022
An analysis of reconstruction noise from undersampled 4D flow MRI
Novel Magnetic Resonance (MR) imaging modalities can quantify hemodynami...
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08/28/2021
Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models
Fast inference of numerical model parameters from data is an important p...
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01/22/2021
An ensemble solver for segregated cardiovascular FSI
Computational models are increasingly used for diagnosis and treatment o...
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08/13/2019
