Organizer: Alexander Scheinker, Los Alamos National Laboratory
9:00 AM - 10:30 AM
Introduction and Tutorial on Generative AI for Adaptive Autonomous Accelerator Control and Virtual Beam Diagnostics
Alexander Scheinker, LANL
10:30 AM - 11: 00 AM
Morning Coffee and Finger Food
11:00 AM - 11:30 AM
Machine Learning-Assisted Calibration of The Accelerator Simulator HPSim
Christopher Leon, LANL
11:30 AM - 12:00 PM
Bayesian Active Learning for Converging Posteriors in Latent Variable Inference for Control Systems
Kilean Hwang, FRIB
12:00 PM - 12:30 PM
Integrating ML into Accelerator Operations
Willem Blokland, ORNL
12:30 PM - 2:00 PM
Lunch
2:00 PM - 2:30 PM
AI/ML for Accelerators at Jefferson Lab: Streaming, MORL, SINDy, and All That
Malachi Schram, JLAB
2:30 PM - 3:00 PM
Experience Combining ML system models with ML-based tuning at SLAC's accelerators
Sara Miskovich, SLAC
3:00 PM - 3:30 PM
Data-Driven Parsimonious Models for Virtual Diagnostics and Control
Brad Ratto, LANL
3:30 PM - 4:00 PM
Afternoon Coffee and Finger Food
4:00 PM - 4:30 PM
Improving Operations at Particle Accelerators with AI/ML
Jan Strube, PNNL
4:30 PM - 5:00 PM
Towards Agentic AI in Particle Accelerators
Thorsten Hellert, LBNL
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