Radial Basis Function

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  1. A Neural Network Based Teleoperation for Remote Controlled Vehicles

    Aug 11, 2026Ning Ding, Azim EskandarianVehicle DynamicsTeleoperation

  2. Risk-Aware Motion Planning with Learned Trajectory Primitives and Probabilistic Safety Assessment

    Jul 29, 2026Marc Kaufeld, Dian Zhuang, Johannes BetzSafe Motion PlanningAutonomous Driving

  3. Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA

    Jul 23, 2026Sergio A. AlvarezReproducing Kernel Hilbert SpacesPrincipal Component Analysis

  4. L1 Augmented Attention as an Improved Vector Similarity Metric

    Jul 20, 2026Kurt GoddenSoftmax AttentionModel Attention

  5. GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network

    Jul 13, 2026Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +1Cone-Beam Computed TomographyImage Reconstruction

  6. Influence of Radial Basis Activation Functions on Intelligent Controller for Robotic Manipulators

    Jul 2, 2026Kimmo Paldanius, Gabriel Da Silva Lima, Wallace Moreira BessaRadial Basis FunctionRobust Control

  7. Machine Learning-based Feedback Linearization Control of Quadrotor Subject to Unmodeled Dynamics

    Jun 30, 2026Amos Alwala, Gabriel da Silva Lima, Wallace Moreira BessaQuadrotor ControlReal-World Quadrotor

  8. Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification

    Jun 28, 2026Zirui Deng, Jingbo Sun, Deyu Meng +1Neural OperatorsPartial Differential Equations

  9. Radial Basis Function Networks as Projection Heads in Self-Supervised Learning

    Jun 19, 2026Andreas Schliebitz, Heiko Tapken, Martin AtzmuellerSelf-Supervised LearningRadial Basis Function

  10. Physics-Informed Neural Networks and Radial Basis Functions for PDEs with Dirac Delta Sources

    Jun 10, 2026Manuel Reyna, Alexandre TartakovskyPartial Differential EquationsRadial Basis Function

  11. Multi-Column RBF Neural Network Using Adaptive and Non-Adaptive Particle Swarm Optimization

    Jun 3, 2026Ammar Hoori, Yuichi MotaiRadial Basis FunctionParticle Swarm Optimization

  12. LimiX-2M: Mitigating Low-Rank Collapse and Attention Bottlenecks in Tabular Foundation Models

    Jun 3, 2026Yuanrui Wang, Xingxuan Zhang, Han Yu +7Tabular Foundation ModelsTerm Frequency-Inverse Document Frequency

  13. An RRAM-based Hardware Implementation of a Radial Basis Function Neuron for Edge Classifiers

    Jun 2, 2026Georgios Papandroulidakis, Shady Agwa, Themis ProdromakisVramRadial Basis Function

  14. Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression

    Jun 2, 2026Yohei Kakimoto, Yuto Omae, Hirotaka TakahashiConvex OptimizationRadial Basis Function

  15. Hierarchical RBF-KAN and RBF-SKAN Architectures for Multidimensional Function Approximation and Random Field Learning

    Jun 1, 2026Mingtao Xia, Qijing ShenRadial Basis FunctionKolmogorov-Arnold Networks

  16. LLMs Without Deep Neural Networks: New Architecture, Benefits and Case Study

    May 28, 2026Vincent GranvilleDeep Neural NetworkRadial Basis Function

  17. Adaptive RBF-KAN: A Comparative Evaluation of Dynamic Shape Parameters in Kolmogorov-Arnold Networks

    May 20, 2026Roberto Cavoretto, Alessandra De Rossi, Adeeba Haider +1Kolmogorov-Arnold NetworksRadial Basis Function

  18. Efficient Conditioning Why Pseudo Observation Batch Bayesian Optimization Works When It Does not

    May 12, 2026Kumbha Nagaswetha, Rabi PathakBayesian OptimizationBayesian Inference Approaches

  19. Neurally-plausible radial basis kernels using distributed Fourier embeddings

    May 8, 2026Jakeb ChouinardRadial Basis FunctionHyperspherical Embedding Geometry

  20. Sparse Random-Feature Neural Networks with Krylov-Based SVD for Singularly Perturbed ODE

    May 8, 2026Kevin Kurian Thomas Vaidyan, Siddharth RoutSingular Value DecompositionRadial Basis Function

  21. Quantum Kernels for Parity-Structured Classification: A Hybrid Pipeline

    May 7, 2026Tushar PandeyQuantum KernelsRadial Basis Function

  22. Leveraging Differentiable PDE Solvers for Semi-Neural Spatial Reconstruction From Sparse Measurements

    Jan 28, 2026Ofek Aloni, Barak FishbainNeural Partial Differential Equation SolversPartial Differential Equations

  23. Adaptively trained Physics-informed Radial Basis Function Neural Networks for Solving Multi-asset Option Pricing Problems

    Jan 19, 2026Yan Ma, Yumeng Ren, Elisabeth LarssonDerivative PricingPhysics-Informed Neural Network Framework

  24. Dual Randomized Smoothing: Beyond Global Noise Variance

    Dec 1, 2025Chenhao Sun, Yuhao Mao, Martin VechevNoise-AwareSmoothing