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There has been a recent boom of positive comments on the KAN (Kolmogorov-Arnold Network) model. Are you thinking about incorporating it? Repo: https://github.com/KindXiaoming/pykan
The text was updated successfully, but these errors were encountered:
Tried replacing nn.Linear with KANLinear from here https://github.com/Blealtan/efficient-kan in the TSMixer and it works quite well. The speed of iterations is slower (clock wise) as expected but fits much quicker per iteration (metrics wise) and I get a much higher overfit suggesting that they are considerably more expressive. It didn't improve my results due to overfitting but I believe it will vary from dataset to dataset
There has been a recent boom of positive comments on the KAN (Kolmogorov-Arnold Network) model. Are you thinking about incorporating it? Repo: https://github.com/KindXiaoming/pykan
The text was updated successfully, but these errors were encountered: