A Practitioner's Guide to Kolmogorov-Arnold Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Noorizadegan, Amir, Wang, Sifan, Ling, Leevan, Dominguez-Morales, Juan P. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
rKAN: Rational Kolmogorov-Arnold Networks
by: Aghaei, Alireza Afzal
Published: (2024)
by: Aghaei, Alireza Afzal
Published: (2024)
Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities
by: Yu, Tianchi, et al.
Published: (2024)
by: Yu, Tianchi, et al.
Published: (2024)
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
by: Kratsios, Anastasis, et al.
Published: (2025)
by: Kratsios, Anastasis, et al.
Published: (2025)
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
by: Kamanchi, Chandramouli, et al.
Published: (2024)
by: Kamanchi, Chandramouli, et al.
Published: (2024)
Kolmogorov-Arnold networks for metal surface defect classification
by: Krzywda, Maciej, et al.
Published: (2025)
by: Krzywda, Maciej, et al.
Published: (2025)
LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
by: Sadikov, Amir
Published: (2025)
by: Sadikov, Amir
Published: (2025)
KAN versus MLP on Irregular or Noisy Functions
by: Zeng, Chen, et al.
Published: (2024)
by: Zeng, Chen, et al.
Published: (2024)
Stability and Discretization Error of State Space Model Neural Operators
by: Bendahi, Abderrahim, et al.
Published: (2026)
by: Bendahi, Abderrahim, et al.
Published: (2026)
Solving Sparse Finite Element Problems on Neuromorphic Hardware
by: Theilman, Bradley H., et al.
Published: (2025)
by: Theilman, Bradley H., et al.
Published: (2025)
Intrinsic Numerical Robustness and Fault Tolerance in a Neuromorphic Algorithm for Scientific Computing
by: Theilman, Bradley H., et al.
Published: (2026)
by: Theilman, Bradley H., et al.
Published: (2026)
Hermite Neural Network Simulation for Solving the 2D Schrodinger Equation
by: Parand, Kourosh, et al.
Published: (2024)
by: Parand, Kourosh, et al.
Published: (2024)
A Genetic Algorithm-Based Approach for Automated Optimization of Kolmogorov-Arnold Networks in Classification Tasks
by: Long, Quan, et al.
Published: (2025)
by: Long, Quan, et al.
Published: (2025)
Kolmogorov-Arnold Transformer
by: Yang, Xingyi, et al.
Published: (2024)
by: Yang, Xingyi, et al.
Published: (2024)
Projective Kolmogorov Arnold Neural Networks (P-KANs): Entropy-Driven Functional Space Discovery for Interpretable Machine Learning
by: Poole, Alastair, et al.
Published: (2025)
by: Poole, Alastair, et al.
Published: (2025)
Robust Parameter and State Estimation in Multiscale Neuronal Systems Using Physics-Informed Neural Networks
by: Wei, Changliang, et al.
Published: (2026)
by: Wei, Changliang, et al.
Published: (2026)
Semialgebraic Neural Networks: From roots to representations
by: Mis, S. David, et al.
Published: (2025)
by: Mis, S. David, et al.
Published: (2025)
Approximating Matrix Functions with Deep Neural Networks and Transformers
by: Padmanabhan, Rahul, et al.
Published: (2026)
by: Padmanabhan, Rahul, et al.
Published: (2026)
Structured and Balanced Multi-Component and Multi-Layer Neural Networks
by: Zhang, Shijun, et al.
Published: (2024)
by: Zhang, Shijun, et al.
Published: (2024)
Expressivity and Approximation Properties of Deep Neural Networks with ReLU$^k$ Activation
by: He, Juncai, et al.
Published: (2023)
by: He, Juncai, et al.
Published: (2023)
HiPreNets: High-Precision Neural Networks through Progressive Training
by: Mulle, Ethan, et al.
Published: (2025)
by: Mulle, Ethan, et al.
Published: (2025)
Softly Symbolifying Kolmogorov-Arnold Networks
by: Bagrow, James, et al.
Published: (2025)
by: Bagrow, James, et al.
Published: (2025)
Optimized Architectures for Kolmogorov-Arnold Networks
by: Bagrow, James, et al.
Published: (2025)
by: Bagrow, James, et al.
Published: (2025)
Physics-Informed Neural Network based inverse framework for time-fractional differential equations for rheology
by: Thakur, Sukirt, et al.
Published: (2024)
by: Thakur, Sukirt, et al.
Published: (2024)
Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution
by: Perez, Sarah, et al.
Published: (2023)
by: Perez, Sarah, et al.
Published: (2023)
Scale-Parameter Selection in Gaussian Kolmogorov-Arnold Networks
by: Noorizadegan, Amir, et al.
Published: (2026)
by: Noorizadegan, Amir, et al.
Published: (2026)
Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks
by: Ismailov, Vugar
Published: (2026)
by: Ismailov, Vugar
Published: (2026)
X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
by: Shiraishi, Hiroki, et al.
Published: (2025)
by: Shiraishi, Hiroki, et al.
Published: (2025)
A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network
by: Park, Kwanghyuk, et al.
Published: (2024)
by: Park, Kwanghyuk, et al.
Published: (2024)
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
by: Kim, Youngkyu, et al.
Published: (2020)
by: Kim, Youngkyu, et al.
Published: (2020)
QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities
by: Narayanaswami, Sai Kiran, et al.
Published: (2024)
by: Narayanaswami, Sai Kiran, et al.
Published: (2024)
Deep greedy unfolding: Sorting out argsorting in greedy sparse recovery algorithms
by: Mohammad-Taheri, Sina, et al.
Published: (2025)
by: Mohammad-Taheri, Sina, et al.
Published: (2025)
Universality and approximation bounds for echo state networks with random weights
by: Li, Zhen, et al.
Published: (2022)
by: Li, Zhen, et al.
Published: (2022)
Multi-Exit Kolmogorov-Arnold Networks: enhancing accuracy and parsimony
by: Bagrow, James, et al.
Published: (2025)
by: Bagrow, James, et al.
Published: (2025)
Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks
by: Zhang, Xianyang, et al.
Published: (2024)
by: Zhang, Xianyang, et al.
Published: (2024)
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts
by: Inzirillo, Hugo, et al.
Published: (2024)
by: Inzirillo, Hugo, et al.
Published: (2024)
Advanced Physics-Informed Neural Network with Residuals for Solving Complex Integral Equations
by: Moghaddam, Mahdi Movahedian, et al.
Published: (2025)
by: Moghaddam, Mahdi Movahedian, et al.
Published: (2025)
KAN-Dreamer: Benchmarking Kolmogorov-Arnold Networks as Function Approximators in World Models
by: Shi, Chenwei, et al.
Published: (2025)
by: Shi, Chenwei, et al.
Published: (2025)
TensorGPT: Efficient Compression of Large Language Models based on Tensor-Train Decomposition
by: Xu, Mingxue, et al.
Published: (2023)
by: Xu, Mingxue, et al.
Published: (2023)
KAT to KANs: A Review of Kolmogorov-Arnold Networks and the Neural Leap Forward
by: Basina, Divesh, et al.
Published: (2024)
by: Basina, Divesh, et al.
Published: (2024)
Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts
by: Kratsios, Anastasis, et al.
Published: (2024)
by: Kratsios, Anastasis, et al.
Published: (2024)
Similar Items
-
rKAN: Rational Kolmogorov-Arnold Networks
by: Aghaei, Alireza Afzal
Published: (2024) -
Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities
by: Yu, Tianchi, et al.
Published: (2024) -
Approximation Rates in Besov Norms and Sample-Complexity of Kolmogorov-Arnold Networks with Residual Connections
by: Kratsios, Anastasis, et al.
Published: (2025) -
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
by: Kamanchi, Chandramouli, et al.
Published: (2024) -
Kolmogorov-Arnold networks for metal surface defect classification
by: Krzywda, Maciej, et al.
Published: (2025)