Researchers introduced FFJORD, a method for training scalable reversible generative models using free-form continuous dynamics. This approach enables more efficient computation of exact gradients and better handling of complex data distributions. You can apply FFJORD to improve generative modeling in various applications. The method provides a more flexible and scalable way to train reversible models.