research
∙
08/24/2023
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory
Risk-sensitive reinforcement learning (RL) has garnered significant atte...
share
research
∙
07/26/2023
A comparison of machine learning surrogate models of street-scale flooding in Norfolk, Virginia
Low-lying coastal cities, exemplified by Norfolk, Virginia, face the cha...
research
∙
07/05/2023
Distance Preserving Machine Learning for Uncertainty Aware Accelerator Capacitance Predictions
Providing accurate uncertainty estimations is essential for producing re...
research
∙
04/20/2023
Multi-module based CVAE to predict HVCM faults in the SNS accelerator
We present a multi-module framework based on Conditional Variational Aut...
research
∙
12/04/2021
Artificial Intelligence and Machine Learning in Nuclear Physics
Advances in artificial intelligence/machine learning methods provide too...
research
∙
10/22/2021
Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator
High-power particle accelerators are complex machines with thousands of ...
research
∙
04/17/2018
