{"total":26,"rows":[{"id":"2310.12487","title":"Improved Operator Learning by Orthogonal Attention","created":"2023-10-19","cited_by_count":61,"area":null},{"id":"2210.01883","title":"Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions","created":"2022-10-04","cited_by_count":32,"area":null},{"id":"2210.12642","title":"Accelerated Linearized Laplace Approximation for Bayesian Deep Learning","created":"2022-10-23","cited_by_count":28,"area":null},{"id":"2210.12637","title":"Neural Eigenfunctions Are Structured Representation Learners","created":"2022-10-23","cited_by_count":16,"area":null},{"id":"2402.03655","title":"Operator SVD with Neural Networks via Nested Low-Rank Approximation","created":"2024-02-06","cited_by_count":13,"area":null},{"id":"2212.04025","title":"A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces","created":"2022-12-08","cited_by_count":7,"area":null},{"id":"2312.10725","title":"Harnessing small projectors and multiple views for efficient vision pretraining","created":"2023-12-17","cited_by_count":5,"area":null},{"id":"2507.07222","title":"Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems","created":"2025-07-09","cited_by_count":5,"area":null},{"id":"2304.02841","title":"Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation","created":"2023-04-06","cited_by_count":4,"area":null},{"id":"2506.10899","title":"Demystifying Spectral Feature Learning for Instrumental Variable Regression","created":"2025-06-12","cited_by_count":4,"area":null},{"id":"2510.23986","title":"STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem","created":"2025-10-28","cited_by_count":3,"area":null},{"id":"2205.07384","title":"Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel","created":"2022-05-15","cited_by_count":2,"area":null},{"id":"2305.00654","title":"Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition","created":"2023-05-01","cited_by_count":2,"area":null},{"id":"2501.11305","title":"Generalizable Spectral Embedding with an Application to UMAP","created":"2025-01-20","cited_by_count":1,"area":null},{"id":"2510.23215","title":"Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter","created":"2025-10-27","cited_by_count":1,"area":null},{"id":"2309.02651","title":"Contrastive Learning as Kernel Approximation","created":"2023-09-06","cited_by_count":0,"area":null},{"id":"2507.12780","title":"Compact Vision Transformer by Reduction of Kernel Complexity","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2510.21952","title":"Revisiting Orbital Minimization Method for Neural Operator Decomposition","created":"2025-10-24","cited_by_count":0,"area":null},{"id":"2510.24672","title":"Eigenfunction Extraction for Ordered Representation Learning","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2511.01927","title":"Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers","created":"2025-11-02","cited_by_count":0,"area":null},{"id":"2601.20174","title":"NeuraLSP: A Neural Spectral Preconditioner for Accelerating PDE Solvers","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2603.03112","title":"From Complex Dynamics to DynFormer: Rethinking Transformers for PDEs","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2605.11841","title":"Minimax Rates and Spectral Distillation for Tree Ensembles","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2605.19959","title":"Learning Orthonormal Bases for Function Spaces","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2608.18918","title":"Score the Algebra, Not the Span: Dimension Reduction for Transfer Operator Models of Dynamical Systems","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2610.04695","title":"Low-Fidelity FDM Spectral Guidance for Neural Eigenvalue Solvers","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}