Kolmogorov-Arnold Networks

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Most implemented papers archive 2025-07-28

30 shown of 98 papers with code (255 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• KAN: Kolmogorov-Arnold Networks
  30 Apr 2024 25 repositories listed Syntology ran 21 of 45 samples · 24 unverified · 18 pointer-only (licence)
  Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs).
• Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
  23 Mar 2025 2 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Recent Meta-Black-Box Optimization (MetaBBO) approaches have shown possibility of enhancing the optimization performance through learning meta-level policies to dynamically configure low-level optimizers.
• LSS-SKAN: Efficient Kolmogorov-Arnold Networks based on Single-Parameterized Function
  19 Oct 2024 2 repositories listed
  In the final accuracy tests, LSS-SKAN exhibited superior performance on the MNIST dataset compared to all tested pure KAN variants.
• Deep Learning Alternatives of the Kolmogorov Superposition Theorem
  2 Oct 2024 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  This paper explores alternative formulations of the Kolmogorov Superposition Theorem (KST) as a foundation for neural network design.
• FC-KAN: Function Combinations in Kolmogorov-Arnold Networks
  3 Sep 2024 2 repositories listed
  In this paper, we introduce FC-KAN, a Kolmogorov-Arnold Network (KAN) that leverages combinations of popular mathematical functions such as B-splines, wavelets, and radial basis functions on low-dimensional data through…
• BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks
  17 Jun 2024 2 repositories listed
  In this paper, we introduce BSRBF-KAN, a Kolmogorov Arnold Network (KAN) that combines B-splines and radial basis functions (RBFs) to fit input vectors during data training.
• U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
  5 Jun 2024 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  We further delved into the potential of U-KAN as an alternative U-Net noise predictor in diffusion models, demonstrating its applicability in generating task-oriented model architectures.
• TKAN: Temporal Kolmogorov-Arnold Networks
  12 May 2024 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Recurrent Neural Networks (RNNs) have revolutionized many areas of machine learning, particularly in natural language and data sequence processing.
• Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models
  17 Jun 2025 1 repository listed
  Recent advancements in speech synthesis technologies have led to increasingly advanced spoofing attacks, posing significant challenges for automatic speaker verification systems.
• Automated Modeling Method for Pathloss Model Discovery
  29 May 2025 1 repository listed
  Inspired by recent advancements in AI, this paper proposes a novel approach that accelerates the discovery of path loss models while maintaining interpretability.
• "KAN you hear me?" Exploring Kolmogorov-Arnold Networks for Spoken Language Understanding
  26 May 2025 1 repository listed
  Kolmogorov-Arnold Networks (KANs) have recently emerged as a promising alternative to traditional neural architectures, yet their application to speech processing remains under explored.
• TK-Mamba: Marrying KAN with Mamba for Text-Driven 3D Medical Image Segmentation
  24 May 2025 1 repository listed
  3D medical image segmentation is vital for clinical diagnosis and treatment but is challenged by high-dimensional data and complex spatial dependencies.
• X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
  20 May 2025 1 repository listed
  These results validate the effectiveness of using KAN as a local model in XCSF, which evaluates the rule fitness based on both accuracy and generality.
• Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks
  12 May 2025 1 repository listed
  We present a novel approach to symbolic regression using vision-capable large language models (LLMs) and the ideas behind Google DeepMind's Funsearch.
• Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes
  9 May 2025 1 repository listed
  Kolmogorov-Arnold Networks (KAN) offer universal function approximation using univariate spline compositions without nonlinear activations.
• Prediction via Shapley Value Regression
  7 May 2025 1 repository listed Syntology ran 2 of 7 samples · 5 unverified
  Shapley values have several desirable, theoretically well-supported, properties for explaining black-box model predictions.
• Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation
  6 May 2025 1 repository listed
  AttUKAN achieves F1 scores of 82.
• A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
  28 Apr 2025 1 repository listed
  To the best of our knowledge, this is the first comprehensive benchmark of KAN in FL settings for medical imaging task.
• KAN or MLP? Point Cloud Shows the Way Forward
  18 Apr 2025 1 repository listed
  To overcome the high parameter counts and computational inefficiency of standard KANs, we develop Efficient-KANs in the PointKAN-elite variant, which significantly reduces parameters while maintaining accuracy.
• MLPs and KANs for data-driven learning in physical problems: A performance comparison
  15 Apr 2025 1 repository listed
  In this work, we present a comparative study of KANs and MLPs for learning physical systems governed by PDEs.
• Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometries
  8 Apr 2025 1 repository listed
  Kolmogorov-Arnold Networks (KANs) have gained attention as an alternative to traditional multilayer perceptrons (MLPs) for deep learning applications in computational physics, particularly for solving inverse problems…
• Extending Cox Proportional Hazards Model with Symbolic Non-Linear Log-Risk Functions for Survival Analysis
  6 Apr 2025 1 repository listed
  In this paper, we introduce Generalized Cox Proportional Hazards (GCPH) model, a novel method for survival analysis that leverages KAN to enable a non-linear mapping from covariates to survival outcomes in a fully…
• DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design
  4 Apr 2025 1 repository listed
  Third, we propose a confidence score to evaluate the trustworthiness of the predicted results, and further develop a hybrid optimization workflow that combines operator learning with finite difference (FD) using…
• Function Fitting Based on Kolmogorov-Arnold Theorem and Kernel Functions
  29 Mar 2025 1 repository listed
  This paper proposes a unified theoretical framework based on the Kolmogorov-Arnold representation theorem and kernel methods.
• From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective
  17 Mar 2025 1 repository listed
  Ultra-high-definition (UHD) image restoration faces significant challenges due to its high resolution, complex content, and intricate details.
• AF-KAN: Activation Function-Based Kolmogorov-Arnold Networks for Efficient Representation Learning
  8 Mar 2025 1 repository listed
  While many KANs are designed using basis and polynomial functions, such as B-splines, ReLU-KAN utilizes a combination of ReLU functions to mimic the structure of B-splines and take advantage of ReLU's speed.
• TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization
  5 Mar 2025 1 repository listed
  Urban traffic optimization is critical for improving transportation efficiency and alleviating congestion, particularly in large-scale dynamic networks.
• Recurrent Neural Networks for Dynamic VWAP Execution: Adaptive Trading Strategies with Temporal Kolmogorov-Arnold Networks
  25 Feb 2025 1 repository listed
  The execution of Volume Weighted Average Price (VWAP) orders remains a critical challenge in modern financial markets, particularly as trading volumes and market complexity continue to increase.
• seqKAN: Sequence processing with Kolmogorov-Arnold Networks
  20 Feb 2025 1 repository listed
  Kolmogorov-Arnold Networks (KANs) have been recently proposed as a machine learning framework that is more interpretable and controllable than the multi-layer perceptron.
• Advancing Out-of-Distribution Detection via Local Neuroplasticity
  20 Feb 2025 1 repository listed
  In the domain of machine learning, the assumption that training and test data share the same distribution is often violated in real-world scenarios, requiring effective out-of-distribution (OOD) detection.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.