1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DC2024
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations
Francieli Boito, Jim Brandt, Valeria Cardellini +24
Many High Performance Computing (HPC) facilities have developed and deployed frameworks in support of continuous monitoring and operational data analytics (MODA) to help improve ef…
nucl-th2023
Uncertainty Quantification-Enabled Inversion of Nuclear Euclidean Responses
K. Raghavan, A. Lovato
Nuclear quantum many-body methods rely on integral transform techniques to infer properties of electroweak response functions from ground-state expectation values. Retrieving the e…
cs.LG2023★ 1 cited
Self-supervised Learning for Anomaly Detection in Computational Workflows
Hongwei Jin, Krishnan Raghavan, George Papadimitriou +4
Anomaly detection is the task of identifying abnormal behavior of a system. Anomaly detection in computational workflows is of special interest because of its wide implications in…