Co-occurring keywords · papers mentioning both
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