Fabian Theis said many pseudo-linear approaches still perform well because the datasets and questions they address have remained relatively simplistic.

“And even nowadays, many of these sort of pseudo-linear type of things are still doing a good job. But the reason for that being that I think the datasets and the questions that we asked on top were just sort of still on the simplistic side.”