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Physics Preprint PDF DOI

Astrocytes: Arnol'd Tongues Generalization in Dynamical Systems' Parameter Plane

Gonzalo Marcelo Ramirez-Avila, S. Leo Kingston, Marek Balcerzak, Jerome Daquin, Timoteo Carletti, Tomasz Kapitaniak · 2026

We discovered generalized structures, named astrocytes due to their shape, that constitute a defined region characterizing regular behavior within the parameter plane (PP) of dynamical systems (DSs). …

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Mathematics Preprint PDF DOI

Explicit Planar Finite Element Elasticity Complexes and $C^1$ Elements on Barycentric Refinements

Chunyu Chen, Long Chen, Xuehai Huang · 2026

The exact-sequence structure behind the Arnold--Douglas--Gupta family of higher-order mixed finite elements for plane elasticity on barycentric refinements is made explicit. On each macro triangle, th…

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AI & Data Science Preprint PDF DOI

Layer-wise Lipschitz-Product Control for Deep Kolmogorov--Arnold Network Representations of Compositionally Structured Functions

Aleksander Tankman · 2026

We prove that any continuous function f from [0,1]^n to R representable by a finite computation tree with N internal nodes and compositional sparsity s = O(1) admits a deep Kolmogorov-Arnold Network (…

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Computer Science Preprint PDF DOI

Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems

Khalid M. Ezzat, Muhammad El-Saba, Mahmoud A. Shawky · 2026

As healthcare systems become increasingly interconnected, ensuring secure and continuous device authentication in health information exchange (HIE) networks is critical to safeguarding patient data an…

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AI & Data Science Preprint PDF DOI

DecompKAN: Decomposed Patch-KAN for Long-Term Time Series Forecasting

Naveen Mysore · 2026

Accurate time series forecasting in scientific domains such as climate modeling, physiological monitoring, and energy systems benefits from both competitive predictions and model transparency. This wo…

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AI & Data Science Preprint PDF DOI

Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks

Vugar Ismailov · 2026

We analyze the universal approximation property of Kolmogorov-Arnold Networks (KANs) in terms of their edge functions. If these functions are all affine, then universality clearly fails. How many non-…

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Engineering Preprint PDF DOI

Partition-of-Unity Gaussian Kolmogorov-Arnold Networks

Amir Nooeizadegan · 2026

Gaussian basis functions provide an efficient and flexible alternative to spline activations in KANs. In this work, we introduce the partition-of-unity Gaussian KAN (PU-GKAN), a Shepard-type normalize…

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AI & Data Science Preprint PDF DOI

Autocorrelation Reintroduces Spectral Bias in KANs for Time Series Forecasting

Chen Zeng, Jiahui Wang, Qiao Wang · 2026

Existing theory suggests that Kolmogorov-Arnold Networks (KANs) can overcome the spectral bias commonly observed in neural networks under the assumption that inputs are statistically independent. Howe…

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AI & Data Science Preprint PDF DOI

KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition

Zhaoxiang Liu, Zhicheng Ma, Kaikai Zhao, Kai Wang, Shiguo Lian · 2026

The Convolutional Neural Networks (CNNs) have been the dominant and effective approach for general computer vision tasks. Recently, Kolmogorov-Arnold neural networks (KANs), based on the Kolmogorov-Ar…

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AI & Data Science Preprint PDF DOI

LTBs-KAN: Linear-Time B-splines Kolmogorov-Arnold Networks

Eduardo Said Merin-Martinez, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello · 2026

Kolmogorov-Arnold Networks (KANs) are a recent neural network architecture offering an alternative to Multilayer Perceptrons (MLPs) with improved explainability and expressibility. However, KANs are s…

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Engineering Preprint PDF DOI

Scaling of Gaussian Kolmogorov--Arnold Networks

Amir Noorizadegan, Sifan Wang · 2026

The Gaussian scale parameter \(\epsilon\) is central to the behavior of Gaussian Kolmogorov--Arnold Networks (KANs), yet its role in deep edge-based architectures has not been studied systematically. …

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Medicine & Health Preprint PDF DOI

Optimized encoding point distributions for efficient single-point imaging

Fabian Bschorr, Pia Gebhard, Tobias Speidel, Volker Rasche · 2026

Purpose: Quasi-random Sobol-based sampling schemes exhibit deterministic structural artifacts when aggressively undersampled, particularly at low encoding densities required for accelerated 2D SPI/CSI…

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Mathematics Preprint PDF DOI

Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches

Yixuan Wang · 2026

This thesis develops numerical and theoretical approaches for understanding and analyzing singularity formation in Partial Differential Equations (PDEs). The singularity formation in the Navier-Stokes…

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Mathematics Preprint PDF DOI

Puzzle Pieces, Bi-accessibility, and Connectivity of the Julia Set for Generalized Blaschke Products

Melida Carranza Trejo, Monica Moreno Rocha · 2026

We study the dynamics of a parametric family of rational functions of odd degree, where each function is a generalized Blaschke product that maps the unit circle onto itself. The action of the Blaschk…

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AI & Data Science Preprint PDF DOI

From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmark

Chen Zhao, Yunzhe Xu, Zhizhou Chen, Enxuan Gu, Kai Zhang, Xiaoming Liu, Jian Yang, Ying Tai · 2026

Ultra-high-definition (UHD) image restoration poses unique challenges due to the high spatial resolution, diverse content, and fine-grained structures present in UHD images. To address these issues, w…

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Physics Preprint PDF DOI

Melnikov-Arnold integrals and optimal normal forms

Ivan I. Shevchenko · 2026

The Melnikov-Arnold integrals (MA-integrals) is a well-known instrument used to measure the splitting of separatrices in Hamiltonian systems. In this article, we explore how calculation of MA-integral…

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Mathematics Preprint PDF DOI

On the flexibility of 2D Euler steady states

Tarek M. Elgindi, Yupei Huang · 2026

We consider steady states of the incompressible Euler equation on two-dimensional domains. For non-radial analytic steady states on bounded simply connected domains, it was shown previously that there…

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Mathematics Preprint PDF DOI

$C^{1/5^{-}}$ Convex Integration Solutions of Ideal MHD

Matteo Giardi, Laszlo Szekelyhidi Jr · 2026

For any $0\leq \gamma < 1/5$, we construct weak solutions $(v, B, p )$ of the Ideal MHD Equations which do not conserve the total kinetic energy, the cross-helicity and lie in $C^\gamma(\mathbb{T}^3\t…

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Mathematics Preprint PDF DOI

A remark on the comparison of the sum and the maximum of positive random variables

Kazuki Okamura · 2026

We disprove a conjecture stated in a recent paper by Arnold and Villasenor concerning the sum and the maximum of independent and identically distributed half-normal random variables. Our method is app…

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AI & Data Science Preprint PDF DOI

Gait Recognition with Temporal Kolmogorov-Arnold Networks

Mohammed Asad, Dinesh Kumar Vishwakarma · 2026

Gait recognition is a biometric modality that identifies individuals from their characteristic walking patterns. Unlike conventional biometric traits, gait can be acquired at a distance and without ac…

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