Continual Learning for Particle Accelerators
Unfortunately, I could not travel to the conference, thanks to Malachi Schram for presenting this spotlight Talk on our paper "Continual Learning for Particle Accelerators"
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December 6, 2025 12:00 AM — 12:00 AM
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1 min read
Continual learning for particle accelerators
This paper addresses the challenge of continual learning in particle accelerators, where machine learning models must adapt to changing data distributions and system configurations …
rajput-k.
Towards continual machine learning for particle accelerators
This paper presents results from ongoing efforts to develop continual learning methods for particle accelerators. We address the challenge of model adaptation to changing …
rajput-k.
Towards continual machine learning for your ever-changing accelerators
Invited Talk Continual/Lifelong machine learning for ever drifting particle accelerator data at IBIC 2025, University of Liverpool, UK.
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An Outlook Towards Deployable Continual Learning for Particle Accelerators
Particle accelerators rely on the precise synchronization of thousands of components, but data distribution drifts often limit the long-term deployment of machine learning …
rajput-k.
Model up-keep with Continual Learning for Particle Accelerators
Invited Tutorial Lecture on Model up-keep / Continual Learning for Particle Accelerators at MaLAPA 2024, Gyeongju, South Korea.
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L3Kit (Coming Soon)
Lifelong Learning Layer Toolkit (L3Kit) is a framework for modern continual learning evaluation and deployment.
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1 min read