105 citations · 728 across the 29 of their papers we have counts for
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cs.LG2023
Branched Latent Neural Maps
Matteo Salvador, Alison Lesley Marsden
We introduce Branched Latent Neural Maps (BLNMs) to learn finite dimensional input-output maps encoding complex physical processes. A BLNM is defined by a simple and compact feedfo…
cs.LG2023★ 2 cited
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks
Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio +4
Reduced-order models based on physics are a popular choice in cardiovascular modeling due to their efficiency, but they may experience reduced accuracy when working with anatomies…