Co-occurring keywords · papers mentioning both
Papers
Content-Aware Frequency Encoding for Implicit Neural Representations with Fourier-Chebyshev Features
CVPR 2026
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
AISTATS 2025
Matérn Kernels for Tunable Implicit Surface Reconstruction
ICLR 2025
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
JMLR 2025
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing
NeurIPS 2024
Feature emergence via margin maximization: case studies in algebraic tasks
ICLR 2024
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks
COLT 2024
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding
ICML 2024
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation
AAAI 2024
Pre-trained Large Language Models Use Fourier Features to Compute Addition
NeurIPS 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
AISTATS 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression
AISTATS 2024
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs
AAAI 2023
Kernelized Diffusion Maps
COLT 2023
Neural Fourier Filter Bank
CVPR 2023
Online Estimation of the Koopman Operator Using Fourier Features
L4DC 2023
Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting
AAAI 2022
Fourier Learning with Cyclical Data
ICML 2022
Overcoming The Spectral Bias of Neural Value Approximation
ICLR 2022
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features
AAAI 2022
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
ICML 2022
Functional Regularization for Reinforcement Learning via Learned Fourier Features
NeurIPS 2021
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding
NeurIPS 2021
Multiplicative Filter Networks
ICLR 2021
Provable Representation Learning for Imitation with Contrastive Fourier Features
NeurIPS 2021