spectral method

DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation AAAI 2026 Recovery of Planted Subgraphs COLT 2026 SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs AAAI 2026 Volumetric Functional Maps CVPR 2026 3D Test-time Adaptation via Graph Spectral Driven Point Shift ICCV 2025 Bridging Class Imbalance and Partial Labeling via Spectral-Balanced Energy Propagation for Skeleton-based Action Recognition ICCV 2025 Dynamic Spectral Graph Anomaly Detection AAAI 2025 Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems L4DC 2025 Iterative Multilingual Spectral Attribute Erasure EMNLP 2025 Learning Dynamical Coupled Operator For High-dimensional Black-box Partial Differential Equations IJCAI 2025 Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025 Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators AISTATS 2025 LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views AAAI 2025 Optimal Control Operator Perspective and a Neural Adaptive Spectral Method AAAI 2025 SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation NAACL 2025 Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach CVPR 2025 A non-backtracking method for long matrix and tensor completion COLT 2024 Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models NeurIPS 2024 Exploiting Data Geometry in Machine Learning AAAI 2024 Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs AAAI 2024 Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning CVPR 2024 Locality-Aware Graph Rewiring in GNNs ICLR 2024 Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery ICML 2024 Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods NeurIPS 2024 Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NeurIPS 2024