Daniel Ratner

Online tuning and light source control using a physics-informed Gaussian process Adi

2019 · arXiv (Cornell University)

Operating large-scale scientific facilities often requires fast tuning and robust control in a high dimensional space. In this paper we introduce a new physics-informed optimization algorithm based on Gaussian process regression. Our method takes advantage …

Coincident learning for unsupervised anomaly detection of scientific instruments

2024 · Machine Learning Science and Technology

Abstract Anomaly detection is an important task for complex scientific experiments and other complex systems (e.g. industrial facilities, manufacturing), where failures in a sub-system can lead to lost data, poor performance, or even damage to …