1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Latent PDE mapping for efficient physics-informed learning across geometries with limited data
Ingvild Askim Adde, Mary M. Maleckar, Gabriel Balaban
In this study, we introduce latent PDE mapping, a broadly applicable physics-informed learning technique designed to enable efficient geometric generalization with sparse training…
q-bio.TO2026★ 1 cited
Physics-Informed Symbolic Regression for Elasticity Modeling in Cardiac Digital Twins
Sophia Ohnemus, Kristin Fullerton, Leto L. Riebel +4
Cardiac digital twins hold great promise for personalized medicine, but they currently depend on complex constitutive models of tissue mechanics that are often over-parameterized f…