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cs.LG2024
On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations
Chester Holtz, Yucheng Wang, Chung-Kuan Cheng +1
There is substantial interest in the use of machine learning (ML)-based techniques throughout the electronic computer-aided design (CAD) flow, particularly methods based on deep le…
cs.LG2023
Semi-Supervised Laplace Learning on Stiefel Manifolds
Chester Holtz, Pengwen Chen, Alexander Cloninger +2
Motivated by the need to address the degeneracy of canonical Laplace learning algorithms in low label rates, we propose to reformulate graph-based semi-supervised learning as a non…