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06/08/2022
Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds
Models of electrical excitation and recovery in the heart have become in...
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02/09/2022
Adjoint-aided inference of Gaussian process driven differential equations
Linear systems occur throughout engineering and the sciences, most notab...
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04/22/2020
Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity
In patients with atrial fibrillation, local activation time (LAT) maps a...
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01/13/2020
Considering discrepancy when calibrating a mechanistic electrophysiology model
Uncertainty quantification (UQ) is a vital step in using mathematical mo...
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03/22/2018
Quantifying Age and Model Uncertainties in Paleoclimate Data and Dynamical Climate Models with a Joint Inferential Analysis
A major goal in paleoclimate science is to reconstruct historical climat...
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01/07/2014
