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conftrace_

fourier feature

31 papers

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