Name: 2nd ICFA Workshop on Machine Learning for Charged Particle Accelerators
Start: 2019-02-26T08:00:00+01:00
End: 2019-03-01T18:00:00+01:00
Location: Villigen PSI

A decade of use of intelligent techniques in accelerators and overview of a new graduate program on the subject

AI and optimisation at BESSYII

Analysis of SPEAR3 injection history data with neural network

Anomaly detection for beam transfer installations

Application of machine learning in lattice design and correction

Automatic performance optimisation and first steps towards reinforcement learning at the CERN Low Energy Ion Ring

Bayesian Methods for Anomaly Detection

Bayesian Optimization for Online FEL Tuning at LCLS

Classification of LHC beam mode transition from beam loss data

Data Analysis and Regression (in session "Tutorial")

Deep Neural Networks (in session "Tutorial")

Discussion

ESS Control System Machine Learning Project

Fast and Safe Parameter Tuning of SwissFEL using Bayesian Optimization

Feedback Design for Control of the Micro-Bunching Instability based on Reinforcement Learning

Gaussian Processes (in session "Tutorial")

Introduction to the Computing Environment (in session "Tutorial")

Machine Learning - Optimizing beam lifetimes in the LHC

Machine Learning and Tuning of the CLIC Final Focus System

Machine Learning at the SNS accelerator

Machine Learning Based Surrogate Models for Beam Dynamics

Machine Learning Platform for Accelerator Controls

Methods for data-cleaning

Some ML approaches for low emittance storage rings

SRF Fault Classification using Machine Learning

Towards Safe Reinforcement Learning

Toy Optics model (in session "Tutorial")

Unsupervised Learning & Clustering (in session "Tutorial")

Update on recent optimisation / ML and modelling activities at the EuXFEL

Using Gaussian Processes to target the injection boundary in laser-plasma simulations

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2nd ICFA Workshop on Machine Learning for Charged Particle Accelerators