Our recent interesting work involves comparing machine-learning methods with traditional Bayesian inference in determining the interior structure of rocky exoplanets with large compositional diversity. The study demonstrates that the MDN model outperforms the traditional MCMC method in terms of  computational efficiency, while also requiring less specialized knowledge. For more details, please read the full article here: https://doi.org/10.3847/1538-4365/ad3f1c