spectral analysis

Spectral Augmentations for Graph Contrastive Learning AISTATS 2023 Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising CVPR 2023 Spectral Evolution and Invariance in Linear-width Neural Networks NeurIPS 2023 Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts NeurIPS 2023 Toward L_∞Recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields COLT 2023 Transvelar Nasal Coupling Contributing to Speaker Characteristics in Non-nasal Vowels Interspeech 2023 Vowel Normalisation in Latent Space for Sociolinguistics Interspeech 2023 Wavelength-Aware 2D Convolutions for Hyperspectral Imaging WACV 2023 When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis ICML 2023 A New Perspective on the Effects of Spectrum in Graph Neural Networks ICML 2022 A Random Matrix Perspective on Random Tensors JMLR 2022 A spectral-based analysis of the separation between two-layer neural networks and linear methods JMLR 2022 BACON: Band-Limited Coordinate Networks for Multiscale Scene Representation CVPR 2022 Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations CLeaR 2022 fGOT: Graph Distances Based on Filters and Optimal Transport AAAI 2022 From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers ICML 2022 G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters ICML 2022 Graph Scattering beyond Wavelet Shackles NeurIPS 2022 Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials NeurIPS 2022 Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence JMLR 2022 Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching NeurIPS 2022 Positively Weighted Kernel Quadrature via Subsampling NeurIPS 2022 Random matrices in service of ML footprint: ternary random features with no performance loss ICLR 2022 Rethinking Graph Neural Networks for Anomaly Detection ICML 2022 Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum NeurIPS 2022