Cover Image

Hardware-Oriented Inference Complexity of Kolmogorov-Arnold Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khalid, Bilal, Freire, Pedro, Turitsyn, Sergei K., Prilepsky, Jaroslaw E.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Computational Complexity Evaluation of Neural Network Applications in Signal Processing
by: Freire, Pedro, et al.
Published: (2022)

Efficient and Robust Semantic Image Communication via Stable Cascade
by: Khalid, Bilal, et al.
Published: (2025)

Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations
by: Duque, Alice, et al.
Published: (2024)

Geometric Clustering for Hardware-Efficient Implementation of Chromatic Dispersion Compensation
by: Gomes, Geraldo, et al.
Published: (2024)

Experimental Demonstration of Online Learning-Based Concept Drift Adaptation for Failure Detection in Optical Networks
by: Ali, Yousuf Moiz, et al.
Published: (2026)

Artificial Neural Networks for Photonic Applications: From Algorithms to Implementation
by: Freire, Pedro, et al.
Published: (2024)

FPGA Implementation of Complex Value-based Clustering Filter for Chromatic Dispersion Compensation in Coherent Metro Links with Ultra-low Power Consumption
by: Gomes, Geraldo, et al.
Published: (2024)

Pre-, In-, and Post-Processing Class Imbalance Mitigation Techniques for Failure Detection in Optical Networks
by: Ali, Yousuf Moiz, et al.
Published: (2025)

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis
by: Ali, Yousuf Moiz, et al.
Published: (2025)

FPGA Implementation of Low-Power Multiplierless Pre-Processing Free Chromatic Dispersion Equalizer
by: Gomes, Geraldo, et al.
Published: (2024)

CVKAN: Complex-Valued Kolmogorov-Arnold Networks
by: Wolff, Matthias, et al.
Published: (2025)

Sinusoidal Approximation Theorem for Kolmogorov-Arnold Networks
by: Gleyzer, Sergei, et al.
Published: (2025)

Probabilistic Kolmogorov-Arnold Network
by: Polar, Andrew, et al.
Published: (2021)

Variational Kolmogorov-Arnold Network
by: Alesiani, Francesco, et al.
Published: (2025)

Kolmogorov-Arnold Networks for Time Series Granger Causality Inference
by: Liu, Meiliang, et al.
Published: (2025)

Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks
by: Zhang, Xianyang, et al.
Published: (2024)

SineKAN: Kolmogorov-Arnold Networks Using Sinusoidal Activation Functions
by: Reinhardt, Eric A. F., et al.
Published: (2024)

Exploring the Limitations of Kolmogorov-Arnold Networks in Classification: Insights to Software Training and Hardware Implementation
by: Tran, Van Duy, et al.
Published: (2024)

A Survey on Kolmogorov-Arnold Network
by: Somvanshi, Shriyank, et al.
Published: (2024)

Gaussian Process Kolmogorov-Arnold Networks
by: Chen, Andrew Siyuan
Published: (2024)

Kolmogorov Arnold Network Autoencoder in Medicine
by: Lomoio, Ugo, et al.
Published: (2025)

Clifford Kolmogorov-Arnold Networks
by: Wolff, Matthias, et al.
Published: (2026)

Kolmogorov-Arnold Fourier Networks
by: Zhang, Jusheng, et al.
Published: (2025)

Multifidelity Kolmogorov-Arnold Networks
by: Howard, Amanda A., et al.
Published: (2024)

PRKAN: Parameter-Reduced Kolmogorov-Arnold Networks
by: Ta, Hoang-Thang, et al.
Published: (2025)

Kolmogorov-Arnold Network for Transistor Compact Modeling
by: Novkin, Rodion, et al.
Published: (2025)

Activation Space Selectable Kolmogorov-Arnold Networks
by: Yang, Zhuoqin, et al.
Published: (2024)

MatrixKAN: Parallelized Kolmogorov-Arnold Network
by: Coffman, Cale, et al.
Published: (2025)

Catastrophic Forgetting in Kolmogorov-Arnold Networks
by: Rahman, Mohammad Marufur, et al.
Published: (2025)

Kolmogorov-Arnold Graph Neural Networks
by: De Carlo, Gianluca, et al.
Published: (2024)

TKAN: Temporal Kolmogorov-Arnold Networks
by: Genet, Remi, et al.
Published: (2024)

GKAN: Graph Kolmogorov-Arnold Networks
by: Kiamari, Mehrdad, et al.
Published: (2024)

Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
by: Gao, Yihang, et al.
Published: (2025)

On Training of Kolmogorov-Arnold Networks
by: Sohail, Shairoz
Published: (2024)

Initialization Schemes for Kolmogorov-Arnold Networks: An Empirical Study
by: Rigas, Spyros, et al.
Published: (2025)

KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
by: Bresson, Roman, et al.
Published: (2024)

Kolmogorov-Arnold Network Autoencoders
by: Moradi, Mohammadamin, et al.
Published: (2024)

KAN: Kolmogorov-Arnold Networks
by: Liu, Ziming, et al.
Published: (2024)

Small-scale photonic Kolmogorov-Arnold networks using standard telecom nonlinear modules
by: Calçado, Luca Nogueira, et al.
Published: (2026)

FEKAN: Feature-Enriched Kolmogorov-Arnold Networks
by: Menon, Sidharth S., et al.
Published: (2026)