You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I haven't conducted parameter tuning experiments on the two frameworks (MLP and KAN) yet. Currently, for the tasks presented in the demo(sklearn.make_regression and fashion-mnist), the performance achievable by the two models might be similar(and KANuses fewer parameters as its non-linear ability is transferred to the calculation of B-spline basis).
Was curious about the performance in your two example demo and whether KAN outperforms the MLP.
The text was updated successfully, but these errors were encountered: