Code for numerical experiment of Learning to Simulate Sequentially-Generated Data via Neural Networks and Wasserstein Training. To train the sequential simulator, use notebook 'Training-unspecified_network'. Trained network parameters for multi-dimensional Heston and multi-dimensional polynomial are stored in the file 'Network results'.
-
Notifications
You must be signed in to change notification settings - Fork 0
Goldenbean0521/Sequential-code
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
code for numerical experiment of Learning to Simulate Sequentially-Generated Data via Neural Networks and Wasserstein Training
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published