System and method for machine learning architecture with adaptive importance sampling with normalizing flows
US12236369B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Jan 29, 2021 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Dec 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/047
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for computational estimation sampling from non-trivial probability distributions. The system comprises a processor, operating in conjunction with computer memory. The processor is configured to conduct importance sampling using normalizing flows where a base distribution has a set of parameters that can be adjusted to account for heavy-tailed distributions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.