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radial basis function

24 papers

RBF

Papers

Analytic Planning under Uncertainty with Moment Closure UAI 2026 DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions WACV 2026 DETONATE – A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization AAAI 2026 Learning Expressive Random Feature Models via Parametrized Activations UAI 2026 NG-GS: NeRF-guided 3D Gaussian Splatting Segmentation CVPR 2026 A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations AAAI 2025 KAC: Kolmogorov-Arnold Classifier for Continual Learning CVPR 2025 Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks AISTATS 2025 LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions AAAI 2024 A Learnable Radial Basis Positional Embedding for Coordinate-MLPs AAAI 2023 NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions ICCV 2023 Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023 Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning JMLR 2023 Deep Radial-Basis Value Functions for Continuous Control AAAI 2021 WarpedGANSpace: Finding Non-Linear RBF Paths in GAN Latent Space ICCV 2021 Geometrically Principled Connections in Graph Neural Networks CVPR 2020 Automatic Detection of Breath Using Voice Activity Detection and SVM Classifier with Application on News Reports Interspeech 2019 Fourier Policy Gradients ICML 2018 The Geometry of Random Features AISTATS 2018 Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? NeurIPS 2017 An Adaptive Data Representation for Robust Point-Set Registration and Merging ICCV 2015 Supervised Learning via Euler's Elastica Models JMLR 2015 Gait Recognition under Speed Transition CVPR 2014 Feature Extraction by Non-Parametric Mutual Information Maximization JMLR 2003