211 citations · 969 across the 37 of their papers we have counts for
6 papers · 1 filter
Machine-Learning X-ray Absorption Spectra to Quantitative Accuracy
Matthew R. Carbone, Mehmet Topsakal, Deyu Lu +1
The advent of massive data repositories has propelled machine learning techniques to the front lines of many scientific fields, and exploring new frontiers by leveraging the predic…
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training
Kwangmin Yu, Thomas Flynn, Shinjae Yoo +1
Stochastic Gradient Descent (SGD) is the most popular algorithm for training deep neural networks (DNNs). As larger networks and datasets cause longer training times, training on d…
Performance Analysis of Deep Learning Workloads on Leading-edge Systems
Yihui Ren, Shinjae Yoo, Adolfy Hoisie
This work examines the performance of leading-edge systems designed for machine learning computing, including the NVIDIA DGX-2, Amazon Web Services (AWS) P3, IBM Power System Accel…
Detector Tomography on IBM 5-qubit Quantum Computers and Mitigation of Imperfect Measurement
Yanzhu Chen, Maziar Farahzad, Shinjae Yoo +1
We use quantum detector tomography to characterize the qubit readout in terms of measurement POVMs on IBM Quantum Computers IBM Q 5 Tenerife and IBM Q 5 Yorktown. Our results sugge…
Change Detection with the Kernel Cumulative Sum Algorithm
Thomas Flynn, Shinjae Yoo
Online change detection involves monitoring a stream of data for changes in the statistical properties of incoming observations. A good change detector will detect any changes shor…
Classification of Local Chemical Environments from X-ray Absorption Spectra using Supervised Machine Learning
Matthew R. Carbone, Shinjae Yoo, Mehmet Topsakal +1
X-ray absorption spectroscopy is a premier element-specific technique for materials characterization. Specifically, the x-ray absorption near-edge structure (XANES) encodes importa…