2D Copula Approximating Transforms (2-Cats): A Neural Network Approach for Modeling Bivariate Dependencies

2-Cats is a novel neural network-based approach for modeling bivariate copulas that satisfies the fundamental mathematical properties of copulas, while demonstrating superior performance compared to state-of-the-art methods.