MSML2022: Hierarchical partition of unity networks- Fast multilevel training.
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2004363
- Report Number(s):
- SAND2022-11069C; 709115
- Country of Publication:
- United States
- Language:
- English
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