Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions

no code implementations • 5 Jul 2023 • Steven Goldenberg, Malachi Schram, Kishansingh Rajput, Thomas Britton, Chris Pappas, Dan Lu, Jared Walden, Majdi I. Radaideh, Sarah Cousineau, Sudarshan Harave

Providing accurate uncertainty estimations is essential for producing reliable machine learning models, especially in safety-critical applications such as accelerator systems.

Dimensionality Reduction