3 papers
cs.LG2026
SW-KAN: Kolmogorov-Arnold Networks with Stieltjes-Wigert q-Orthogonal Polynomials
Amirhosein Azarpour, Seyyed Moein Kazemi
Kolmogorov-Arnold Networks (KANs) represent a paradigmatic shift in deep learning by replacing fixed node activations with learnable univariate functions on edges, offering enhance…
cs.CV2026
ORB-SVM : An Innovative Hybrid Framework for Efficient Brain Tumor Detection from MRI Scans
Amirhosein Azarpour
Brain cancer remains one of the most significant challenges in modern medicine, where the accuracy of early stage diagnosis is a decisive factor in patient survival and treatment e…
cs.LG2026
RecKAN: Kolmogorov-Arnold Networks with a Learnable Recursive Polynomial Basis
Amirhosein Azarpour
Kolmogorov--Arnold Networks (KANs) replace the fixed scalar weights of a standard network with learnable univariate functions on each edge, but existing variants still fix the \emp…