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

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2025

On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiological boundary conditions

Chloe H. Choi, Andrea Zanoni, Daniele E. Schiavazzi +1

Solving inverse problems in cardiovascular modeling is particularly challenging due to the high computational cost of running high-fidelity simulations. In this work, we focus on B…