activity
20232025
most citedNeural active manifolds: nonlinear dimensionality reduction for uncertainty quantification

3 citations · 4 across the 4 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

physics.flu-dyn2024

Personalized and uncertainty-aware coronary hemodynamics simulations: From Bayesian estimation to improved multi-fidelity uncertainty quantification

Karthik Menon, Andrea Zanoni, Owais Khan +4

Simulations of coronary hemodynamics have improved non-invasive clinical risk stratification and treatment outcomes for coronary artery disease, compared to relying on anatomical i…

math.NA2024★ 3 cited

Neural active manifolds: nonlinear dimensionality reduction for uncertainty quantification

Andrea Zanoni, Gianluca Geraci, Matteo Salvador +2

We present a new approach for nonlinear dimensionality reduction, specifically designed for computationally expensive mathematical models. We leverage autoencoders to discover a on…