activity
20242026
most citedAF-KAN: Activation Function-Based Kolmogorov-Arnold Networks for Efficient Representation Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2026

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…

cs.LG2026

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…

cs.LG2026

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…

cs.LG2025

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…

cs.LG2025★ 1 cited

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…

cs.CL2024

Utilize Transformers for translating Wikipedia category names

Hoang-Thang Ta, Quoc Thang La

On Wikipedia, articles are categorized to aid readers in navigating content efficiently. The manual creation of new categories can be laborious and time-intensive. To tackle this i…