Simulator-assisted training for interpretable generative models
US11915121B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 4, 2019 |
| Grant date | Feb 27, 2024 |
| Priority date | — |
| Expiry date | Oct 7, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A generator network of a variational autoencoder can be trained to approximate a simulator and generate a first result. The simulator is associated with input data, based on which the simulator outputs output data. A training data set for the generator network can include the simulator's input data and output data. Based on the simulator's output data and the first result of the generator network, an inference network of the variational autoencoder can be trained to generate a second result. The second result of the trained inference network inverts the first result of the generator and approximates the simulator's input data. The trained inference network can function as an inverted simulator.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.