Radial Basis Function

Ask about this topic

Momentum

0 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 24

All topics
CardsList

  1. A Neural Network Based Teleoperation for Remote Controlled Vehicles

    Aug 11, 2026Ning Ding, Azim EskandarianVehicle DynamicsTeleoperation

    Virginia Polytechnic Institute and State University, Blacksburg, VA 24060 USA · College of Engineering, Virginia Commonwealth University, Richmond, VA 23284 USA

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

    Jul 29, 2026Marc Kaufeld, Dian Zhuang, Johannes BetzMotion PlanningPath Planning

    Professorship of Autonomous Vehicle Systems, Technical University of Munich, 85748 Garching, Germany; Munich Institute of Robotics and Machine Intelligence (MIRMI) · School of Engineering and Design, Technical University of Munich, 85748 Garching, Germany

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

    Jul 23, 2026Sergio A. AlvarezPrincipal Component AnalysisKernel Hilbert Spaces

    Department of Computer Science, Boston College, Chestnut Hill, MA 02467 USA

  4. L1 Augmented Attention as an Improved Vector Similarity Metric

    Jul 20, 2026Kurt GoddenTransformer AttentionLinear Attention

    Walsh College, Troy Michigan, USA

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

    Jul 13, 2026Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +1Radial Basis FunctionCone-Beam Computed Tomography

    Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany

  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 FunctionRobotic Manipulator

    Smart Systems Lab, Department of Mechanical Engineering, University of Turku, 20520, Finland.

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

    Jun 30, 2026Amos Alwala, Gabriel da Silva Lima, Wallace Moreira BessaQuadrotorRobust Control

    Smart Systems, Department of Mechanical and Materials Engineering, Faculty of Technology, University of Turku, 20520 Turku, Finland.

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

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

    Osnabrück University of Applied Sciences, Albrechtstr. 30, 49076 Osnabrück, Germany · Osnabrück University, Semantic Information Systems Group,2026 Wachsbleiche 27, 49090 Osnabrück Germany · German Research Center for Artificial Intelligence (DFKI), Hamburger Str. 24, 49084 Osnabrück, Germany

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

    Jun 10, 2026Manuel Reyna, Alexandre TartakovskyParametric Physics-Informed Neural NetworkPartial Differential Equations

    Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, 205 North Mathews Avenue, Urbana, 61801, IL, USA

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

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

    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA · Department of Electrical and Computer Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA

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

    Jun 3, 2026Yuanrui Wang, Xingxuan Zhang, Han Yu +7Tabular Foundation ModelsTokenizer

    Stable AI · Tsinghua University

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

    Jun 2, 2026Georgios Papandroulidakis, Shady Agwa, Themis ProdromakisRadial Basis FunctionEdge Devices

    Centre for Electronics Frontiers, Institute of Micro and Nano Systems, School of Engineering, The University of Edinburgh, EH9 3BF, UK.

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

    Jun 2, 2026Yohei Kakimoto, Yuto Omae, Hirotaka TakahashiNonconvexConvex Optimization

    Nihon University · Tokyo City University

  14. 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

    University of Houston, Philip Guthrie Hoffman Hall, 3551 Cullen Blvd, Houston, 77204, Texas, United States of America · University of Birmingham, Watson Building, Birmingham, B15 2TT,, United Kingdom · University of Oxford, Henry Wellcome Building for Molecular Physiology, Old Road, Oxford, OX3 7BN, Oxfordshire, United Kingdom

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

    May 28, 2026Vincent GranvilleModern Deep NetworksNeural Network

    CAIO

  16. 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

    Department of Mathematics “Giuseppe Peano”, University of Torino, via Carlo Alberto 10, 10123 Torino, Italy · Member of the INdAM Research Group GNCS · Department of Mathematics, Hong Kong Baptist University, Hong Kong SAR, China

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

    May 12, 2026Kumbha Nagaswetha, Rabi PathakBayesian OptimizationGaussian Process

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

    May 8, 2026Jakeb ChouinardRadial Basis FunctionSemantic Geometry

    Department of Systems Design Engineering, University of Waterloo · Centre for Theoretical Neuroscience, University of Waterloo

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

    May 7, 2026Tushar PandeyQuantum KernelsRadial Basis Function

    Texas A&M University, Department of Mathematics College Station, TX, USA

  20. Adaptive-Distribution Randomized Neural Networks for PDEs: A Low-Dimensional Distribution-Learning Framework

    Apr 27, 2026You Yang, Fei WangNeural Partial Differential Equation SolversPartial Differential Equations

    School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China. · School of Mathematics and Statistics & State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China.

  21. Nonlinearity as Rank: Generative Low-Rank Adapter with Radial Basis Functions

    Feb 5, 2026Yihao Ouyang, Shiwei Li, Haozhao Wang +5Radial Basis FunctionNonlinearity

    Huazhong University of Science and Technology, Wuhan, China

  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

    Department of Mathematics, Technion, Israel · Department of Civil and Environmental Engineering, Technion, Israel

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

    Jan 19, 2026Yan Ma, Yumeng Ren, Elisabeth LarssonMathematical FinanceParametric Physics-Informed Neural Network

    aCollege of Mathematics and Statistics, Northwest Normal University, Lanzhou, China · bDepartment of Mathematics, City University of Hong Kong, Hong Kong SAR, China · cDepartment of Information Technology, Uppsala University, Sweden

  24. Dual Randomized Smoothing: Beyond Global Noise Variance

    Dec 1, 2025Chenhao Sun, Yuhao Mao, Martin VechevSmoothingNoise-Aware

    Department of Computer Science, ETH Zürich, Switzerland