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SechKAN

model1 events
papersTODAY 04:00 UTC

SechKAN: Kolmogorov-Arnold Networks Built With Hyperbolic Secant Activation Functions

Researchers propose SechKAN, a variant of Kolmogorov-Arnold Networks that replaces the usual basis functions with hyperbolic secant functions. The paper argues this design keeps KAN's strengths in machine learning and scientific computing while offering a new direction for neural network architecture. It is a revised arXiv preprint, not yet a released product.

arxiv/kan/neural-networks/research