Philipp Kunz

Towards a Framework for Learning of Algorithms: The Case of Learned Comparison Sorts

Designing algorithms is cumbersome and error-prone. This, among other things, has increasingly led to efforts to extend or even replace designing algorithms with machine learning models. While previous research has demonstrated that some machine learning models possess Turing-completeness, the findi…