Data Tech 2026

Generative models generate objects (picture, animation, sound, etc) by iteratively converting noise into data. This is done by the simulation of ordinary or stochastic differential equations (ODEs/SDEs). The two techniques allow us to construct, train, and simulate such ODEs/SDEs with deep neural networks.

In this talk I will introduce the two methods and will give simple examples.