Discussion: Research Advances at the Interface of Uncertainty Quantification and Machine Learning for High Consequence Problems.
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2004259
- Report Number(s):
- SAND2022-10515C; 708822
- Country of Publication:
- United States
- Language:
- English
Similar Records
Active Learning and Uncertainty Quantification for Machine Learning Interatomic Potentials.
Uncertainty Quantification of Machine Learning Interatomic Potential Models.
Posterior Predictive Variational Inference for Uncertainty Quantification in Machine Learning.
Conference
·
Wed Sep 01 00:00:00 EDT 2021
·
OSTI ID:1890912
Uncertainty Quantification of Machine Learning Interatomic Potential Models.
Conference
·
Mon Aug 01 00:00:00 EDT 2022
·
OSTI ID:2004338
Posterior Predictive Variational Inference for Uncertainty Quantification in Machine Learning.
Conference
·
Fri Apr 01 00:00:00 EDT 2022
·
OSTI ID:2002336