We present an uncertainty-aware online ensemble method for handling non-stationary data streams in fusion science applications. The approach dynamically weights multiple models …
Talk Talk on developing robust adaptive digital twins with uncertainty awareness for fusion science applications.
This preprint presents a novel uncertainty-guided online ensemble learning approach for handling non-stationary data streams in fusion science. The method adaptively selects and …
Invited Talk Current progress on machine learning applications for particle accelerators and its scope for Fusion Science.
Invited Talk Application of Machine Learning to improve accelerator operation, application of conditional models to predict anomalies at SNS accelerator.