Is KAN more interpretable than MLP added

modafarshouha · web-flow · commit b03ff7c525db · 2025-11-03T11:13:35.000+01:00
Discussion section updated by a newly published study that argues the validity of KAN's authors interpretability claim mainly when dealing with high-dimensional (image and text) data.
diff --git a/README.md b/README.md
@@ -218,6 +218,7 @@ A curated list of awesome libraries, projects, tutorials, papers, and other reso
 
 ## Discussion
 
+- [Is KAN more interpretable than MLP? A comparative study on image and text data](https://link.springer.com/chapter/10.1007/978-981-96-7945-4_10) : This study demonstrats that KAN is less interpretable, more expensive and less stable than MLP, mainly when handling high-dimensional data, such as image and text data.
 - HN-[KAN Hacker news discussion](https://news.ycombinator.com/item?id=40219205)
 - HN-[	A new type of neural network is more interpretable](https://news.ycombinator.com/item?id=41162676)
 - HN-[Trying Kolmogorov-Arnold Networks in Practice](https://news.ycombinator.com/item?id=40855028)
