Skip to content
conftrace_

spectral method

223 papers

Papers

Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms NeurIPS 2023 SigMaNet: One Laplacian to Rule Them All AAAI 2023 Solving High-Dimensional PDEs with Latent Spectral Models ICML 2023 Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning NeurIPS 2023 A Fourier Approach to Mixture Learning NeurIPS 2022 A Spectral Approach to Item Response Theory NeurIPS 2022 Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods NeurIPS 2022 Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering ICML 2022 Convergence of Invariant Graph Networks ICML 2022 Crowdsourcing Regression: A Spectral Approach AISTATS 2022 Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization CVPR 2022 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NeurIPS 2022 Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics NeurIPS 2022 SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration CVPR 2022 Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data NeurIPS 2022 Topologically penalized regression on manifolds JMLR 2022 Transform Once: Efficient Operator Learning in Frequency Domain NeurIPS 2022 A Unified Framework for Spectral Clustering in Sparse Graphs JMLR 2021 Deep Graph Spectral Evolution Networks for Graph Topological Evolution AAAI 2021 Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation CVPR 2021 From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction JMLR 2021 Generalization Guarantees for Neural Architecture Search with Train-Validation Split ICML 2021 Graph Convolution with Low-rank Learnable Local Filters ICLR 2021 Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021 Learning a Latent Simplex in Input Sparsity Time ICLR 2021