1 citations · 2 across the 3 of their papers we have counts for
4 papers
Spatial Thickness Mapping in Heterogeneous Plate Using Wave Physics-Informed Regression
Amanda Beck, Harsha Vardhan Tetali, Michael MacIsaac +4
Traditional guided wave methods for structural health monitoring typically assume uniform material properties, which limit their ability to characterize heterogeneous structures wi…
Wave Physics-informed Matrix Factorizations
Harsha Vardhan Tetali, Joel B. Harley, Benjamin D. Haeffele
With the recent success of representation learning methods, which includes deep learning as a special case, there has been considerable interest in developing techniques that incor…
On the Generalization Error of Meta Learning for the Gibbs Algorithm
Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian +2
We analyze the generalization ability of joint-training meta learning algorithms via the Gibbs algorithm. Our exact characterization of the expected meta generalization error for t…
Wave-Informed Matrix Factorization with Global Optimality Guarantees
Harsha Vardhan Tetali, Joel B. Harley, Benjamin D. Haeffele
With the recent success of representation learning methods, which includes deep learning as a special case, there has been considerable interest in developing representation learni…