3 citations · 3 across the 3 of their papers we have counts for
3 papers
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression
Shaghayegh Z. Ashtiani, Mohammad Sarabian, Kaveh Laksari +1
Blood flow reconstruction in the vasculature is important for many clinical applications. However, in clinical settings, the available data are often quite limited. For instance, T…
A DEIM Tucker Tensor Cross Algorithm and its Application to Dynamical Low-Rank Approximation
Behzad Ghahremani, Hessam Babaee
We introduce a Tucker tensor cross approximation method that constructs a low-rank representation of a -dimensional tensor by sparsely sampling its fibers. These fibers are sele…
Learning stiff chemical kinetics using extended deep neural operators
Somdatta Goswami, Ameya D. Jagtap, Hessam Babaee +2
We utilize neural operators to learn the solution propagator for the challenging chemical kinetics equation. Specifically, we apply the deep operator network (DeepONet) along with…