Before revision:  This method, benchmarked on synthetic datasets as well as on some S P500 stock returns covariance matrices ,  achieves comparable results to several state-of-the-art techniques, while outperforming all existing algorithms in terms of computational time.
After revision:  This method, benchmarked on synthetic datasets as well as on some S P500 stock returns covariance matrices , and evaluate the performance of the DNN on synthetic and real-world covariance matrices. Denise achieves comparable results to several state-of-the-art techniques, while outperforming all existing algorithms in terms of computational time.