8 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.LG2026
RAPNet: Accelerating Algebraic Multigrid with Learned Sparse Corrections
Yali Fink, Ido Ben-Yair, Lars Ruthotto +1
The scalable solution of large sparse linear systems is a bottleneck in scientific computing and graph analysis. While algebraic multigrid (AMG) offers optimal linear scaling, its…
cs.LG2023★ 8 cited
Multigrid-Augmented Deep Learning Preconditioners for the Helmholtz Equation using Compact Implicit Layers
Bar Lerer, Ido Ben-Yair, Eran Treister
We present a deep learning-based iterative approach to solve the discrete heterogeneous Helmholtz equation for high wavenumbers. Combining classical iterative multigrid solvers and…
cs.LG2021★ 3 cited
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
Ido Ben-Yair, Gil Ben Shalom, Moshe Eliasof +1
Quantization of Convolutional Neural Networks (CNNs) is a common approach to ease the computational burden involved in the deployment of CNNs, especially on low-resource edge devic…