Advanced AI/ML and Generative Models for the Control of Large Complex Systems

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 Latent Variable Inference in Control Systems

Kilean Huang, 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

Aurealee Edelen, 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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