We developed our own generative model for synthetic data generation. It is an autoregressive model where each variable is derived from previously generated ones

We developed our own generative model for synthetic data generation. It is an autoregressive model where each variable is derived from previously generated ones using Transformers networks. If you are interested, you have more details in: https://arxiv.org/pdf/2202.02145.pdf https://arxiv.org/pdf/2202.02145.pdf When we say it works on any types of data, we mean: numerical, categorical, text, images and compositions of those types (see the paper).