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Data-driven Learning to Predict WAN Network Traffic., , , and . SNTA@HPDC, page 11-18. ACM, (2020)Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks., , , , , and . PEARC, page 26:1-26:5. ACM, (2021)Autonomous Pulse Control for Quantum Transducers with Deep Reinforcement Learning., , , and . OFC, page 1-3. IEEE, (2022)NetGraf: An End-to-End Learning Network Monitoring Service., , and . INDIS@SC, page 12-22. IEEE, (2021)NetGraf: A Collaborative Network Monitoring Stack for Network Experimental Testbeds., , and . CoRR, (2021)INDIRA: 'Application Intent' network assistant to configure SDN-based high performance scientific networks., , , , and . OFC, page 1-3. IEEE, (2017)Cross-facility science with the Superfacility Project at LBNL., , , , , , , , , and 13 other author(s). XLOOP@SC, page 1-7. IEEE, (2020)Using Machine Learning for Intent-based provisioning in High-Speed Science Networks., , , and . SNTA@HPDC, page 27-30. ACM, (2020)Workflow Anomaly Detection with Graph Neural Networks., , , , , , , , , and . WORKS@SC, page 35-42. IEEE, (2022)Unsupervised Anomaly Detection in Daily WAN Traffic Patterns., , and . SMC, volume 1315 of Communications in Computer and Information Science, page 240-256. Springer, (2020)