Neural spline flow (NSF)
Neural spline flow (NSF) is a class of normalizing flow models that use spline-based transformations to enable flexible, invertible mappings for density estimation and generative modeling. By leveraging piecewise spline functions, NSF can represent complex distributions with improved accuracy and stability compared to traditional flow architectures.