conftrace_

fourier series

12 papers

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Co-occurring keywords · papers mentioning both

implicit neural representation (3) kernel approximation (3) gaussian process (2) spatial compression (1) frequency coefficient (1) blind image restoration (1) model efficiency (1) random fourier feature (1) inducing point (1) kolmogorov-arnold network (1)

Papers

Efficient Visual Representation Learning with Heat Conduction Equation IJCAI 2025 Fourier Head: Helping Large Language Models Learn Complex Probability Distributions ICLR 2025 Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework AAAI 2025 CosAE: Learnable Fourier Series for Image Restoration NeurIPS 2024 Classically Approximating Variational Quantum Machine Learning with Random Fourier Features ICLR 2023 FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow NeurIPS 2023 Optimizing Mode Connectivity for Class Incremental Learning ICML 2023 FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction NeurIPS 2022 Power and limitations of single-qubit native quantum neural networks NeurIPS 2022 Seeing Implicit Neural Representations As Fourier Series WACV 2022 Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition ICML 2021 Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019