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Author: T. Hellert


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Reference
T. Hellert et al., “Status of Osprey: A Framework for Agentic AI in Control Systems”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOP6322, this conference.
A. Wu, J. De Chant, T. Hellert, S. Leemann, G. Martino, and A. Sulc, “Evaluating in-context learning for Advanced Light Source EPICS process variable prediction”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOP6321, this conference.
J.-L. Vay et al., “Overview of the US DOE Multi-Office particle Accelerator Team (MOAT) project”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper MOV6302, this conference.
A. Sulc, G. Martino, H. Nishimura, S. Leemann, and T. Hellert, “Unsupervised Anomaly Detection and Channel Attribution with Variational Autoencoders at the Advanced Light Source”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6306, this conference.
K. Paraschou et al., “Tests of commissioning simulation tools in operation of storage ring light sources”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP5076, this conference.
K. Iliev, T. Hellert, S. Leemann, G. Martino, and A. Sulc, “A configurable unsupervised anomaly detection service for the Advanced Light Source”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper WEP6305, this conference.
T. Hellert, F. Mayet, A. Sulc, and C. Tennant, “Bridging the Gap Between Control Systems and Natural Language: A Framework for Semantic Channel Finding”, presented at the 17th Int. Particle Accelerator Conf. (IPAC'26), Deauville, France, May 2026, paper FRO6M01, this conference.


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