spectral analysis

Spectral Probing EMNLP 2022 SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators ICML 2022 Sublinear-Time Clustering Oracle for Signed Graphs ICML 2022 Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints CVPR 2022 Three rates of convergence or separation via U-statistics in a dependent framework JMLR 2022 Transform Once: Efficient Operator Learning in Frequency Domain NeurIPS 2022 Unsupervised Identification of Materials with Hyperspectral Images AAAI 2022 Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion ICML 2022 Voicing decision based on phonemes classification and spectral moments for whisper-to-speech conversion Interspeech 2022 A Dual Iterative Refinement Method for Non-Rigid Shape Matching CVPR 2021 Analysis of one-hidden-layer neural networks via the resolvent method NeurIPS 2021 Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective ICLR 2021 A Spectral Analysis of Dot-product Kernels AISTATS 2021 A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration NeurIPS 2021 Directed Spectrum Measures Improve Latent Network Models Of Neural Populations NeurIPS 2021 Diverse Message Passing for Attribute with Heterophily NeurIPS 2021 Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation CVPR 2021 Hessian Eigenspectra of More Realistic Nonlinear Models NeurIPS 2021 How Reliable Are Phonetic Data Collected Remotely? Comparison of Recording Devices and Environments on Acoustic Measurements Interspeech 2021 Identification of F1 and F2 in Speech Using Modified Zero Frequency Filtering Interspeech 2021 Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021 Learning Parametrised Graph Shift Operators ICLR 2021 Not All Low-Pass Filters are Robust in Graph Convolutional Networks NeurIPS 2021 Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021 PLSO: A generative framework for decomposing nonstationary time-series into piecewise stationary oscillatory components UAI 2021