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Kolmogorov-Arnold Networks for Personal Context Recognition on ExtraSensory
Hoang-Thang Ta
Kolmogorov--Arnold Networks (KANs) have attracted increasing attention in recent years, with applications across a wide range of AI tasks. In this paper, we evaluate several KAN va…
Evaluating the Effectiveness of SechKAN on 1D Data
Hoang-Thang Ta
The connection between the Kolmogorov-Arnold representation theorem (KART) and neural network design has led to the development of Kolmogorov-Arnold Networks (KANs), with applicati…
SechKAN: Kolmogorov-Arnold Networks with Hyperbolic Secant Functions
Hoang-Thang Ta
In recent years KolmogorovArnold Networks KANs have attracted increasing attention due to their effectiveness in machine learning and scientific computing offering a new paradigm f…
Combinations of Fast Activation and Trigonometric Functions in Kolmogorov-Arnold Networks
Hoang-Thang Ta, Duy-Quy Thai, Phuong-Linh Tran-Thi
For years, many neural networks have been developed based on the Kolmogorov-Arnold Representation Theorem (KART), which was created to address Hilbert's 13th problem. Recently, rel…
AF-KAN: Activation Function-Based Kolmogorov-Arnold Networks for Efficient Representation Learning
Hoang-Thang Ta, Anh Tran
Kolmogorov-Arnold Networks (KANs) have inspired numerous works exploring their applications across a wide range of scientific problems, with the potential to replace Multilayer Per…