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John L. Sapp

Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-Learning

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Oct 06, 2022
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Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning

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Oct 13, 2021
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Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models

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Jun 02, 2020
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High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model

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May 15, 2020
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Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

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Jul 01, 2019
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Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors

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Oct 31, 2018
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Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia

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Aug 04, 2018
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