{"total":28,"rows":[{"id":"2108.08481","title":"Neural Operator: Learning Maps Between Function Spaces","created":"2021-08-19","cited_by_count":414,"area":null},{"id":"2311.03757","title":"Manifold learning: what, how, and why","created":"2023-11-07","cited_by_count":68,"area":null},{"id":"2106.01529","title":"Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs","created":"2021-06-03","cited_by_count":13,"area":null},{"id":"2102.00500","title":"A Multiscale Environment for Learning by Diffusion","created":"2021-01-31","cited_by_count":8,"area":null},{"id":"2107.13610","title":"Large sample spectral analysis of graph-based multi-manifold clustering","created":"2021-07-28","cited_by_count":8,"area":null},{"id":"2111.07394","title":"Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs","created":"2021-11-14","cited_by_count":5,"area":null},{"id":"2311.00140","title":"Adaptive and non-adaptive minimax rates for weighted Laplacian-eigenmap based nonparametric regression","created":"2023-10-31","cited_by_count":5,"area":null},{"id":"2205.00281","title":"Understanding the Generalization Performance of Spectral Clustering Algorithms","created":"2022-04-30","cited_by_count":4,"area":null},{"id":"2209.02305","title":"Rates of Convergence for Regression with the Graph Poly-Laplacian","created":"2022-09-06","cited_by_count":4,"area":null},{"id":"2307.04056","title":"Manifold Filter-Combine Networks","created":"2023-07-08","cited_by_count":2,"area":null},{"id":"2310.00729","title":"Spectral Neural Networks: Approximation Theory and Optimization Landscape","created":"2023-10-01","cited_by_count":2,"area":null},{"id":"2402.14985","title":"Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps","created":"2024-02-22","cited_by_count":2,"area":null},{"id":"2104.10837","title":"Robust Certification for Laplace Learning on Geometric Graphs","created":"2021-04-22","cited_by_count":1,"area":null},{"id":"2108.08687","title":"Clustering dynamics on graphs: from spectral clustering to mean shift through Fokker-Planck interpolation","created":"2021-08-18","cited_by_count":1,"area":null},{"id":"2306.10592","title":"Conditional expectation using compactification operators","created":"2023-06-18","cited_by_count":1,"area":null},{"id":"2409.08211","title":"Graph Laplacian-based Bayesian Multi-fidelity Modeling","created":"2024-09-12","cited_by_count":1,"area":null},{"id":"2510.26533","title":"Higher-Order Regularization Learning on Hypergraphs","created":"2025-10-30","cited_by_count":1,"area":null},{"id":"2601.06025","title":"Manifold limit for the training of shallow graph convolutional neural networks","created":"2026-01-09","cited_by_count":1,"area":null},{"id":"2604.07213","title":"Diffusion Processes on Implicit Manifolds","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2605.27073","title":"Learning to Orchestrate Agents under Uncertainty","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2606.17185","title":"Finsler Geometry, Graph Neural Networks, and You","created":"2026-06-15","cited_by_count":1,"area":null},{"id":"2304.04862","title":"A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data","created":"2023-03-29","cited_by_count":0,"area":null},{"id":"2305.06541","title":"Spectral Clustering on Large Datasets: When Does it Work? Theory from Continuous Clustering and Density Cheeger-Buser","created":"2023-05-11","cited_by_count":0,"area":null},{"id":"2509.24458","title":"Convergence of graph Dirichlet energies and graph Laplacians on intersecting manifolds of varying dimensions","created":"2025-09-29","cited_by_count":0,"area":null},{"id":"2510.25892","title":"Topology-Aware Active Learning on Graphs","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2601.14515","title":"Large Data Limits of Laplace Learning for Gaussian Measure Data in Infinite Dimensions","created":"2026-01-20","cited_by_count":0,"area":null},{"id":"2607.06644","title":"Fast determinantal sampling on general spaces and diffusion geometry","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.08987","title":"Group Invariant Spectral Embedding","created":"2026-07-09","cited_by_count":0,"area":null}],"next_cursor":null}