Co-occurring keywords · papers mentioning both
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