8 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
3 papers
Horizon-Constrained Rashomon Sets for Chaotic Forecasting
Gauri Kale, Rahul Vishwakarma, Holly Diamond +2
Predictive multiplicity and chaotic dynamics represent two fundamental challenges in machine learning that have evolved independently despite their conceptual connections. We bridg…
Bayesian Parameter Inference and Uncertainty Quantification for a Computational Pulmonary Hemodynamics Model Using Gaussian Processes
Amirreza Kachabi, Sofia Altieri Correa, Naomi C. Chesler +1
Subject-specific modeling is a powerful tool in cardiovascular research, providing insights beyond the reach of current clinical diagnostics. Limitations in available clinical data…
Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics
Mitchel J. Colebank, Naomi C. Chesler
Computational hemodynamics models are becoming increasingly useful in the management and prognosis of complex, multiscale pathologies, including those attributed to the development…