231 citations · 332 across the 22 of their papers we have counts for
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cs.LG2022★ 1 cited
Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath
As Graph Neural Networks (GNNs) increase in popularity for scientific machine learning, their training and inference efficiency is becoming increasingly critical. Additionally, the…
cs.LG2022★ 2 cited
Asynchronous Decentralized Bayesian Optimization for Large Scale Hyperparameter Optimization
Romain Egele, Isabelle Guyon, Venkatram Vishwanath +1
Bayesian optimization (BO) is a promising approach for hyperparameter optimization of deep neural networks (DNNs), where each model training can take minutes to hours. In BO, a com…