{"total":25,"rows":[{"id":"2110.11773","title":"Sinkformers: Transformers with Doubly Stochastic Attention","created":"2021-10-22","cited_by_count":138,"area":null},{"id":"2409.06219","title":"Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning","created":"2024-09-10","cited_by_count":35,"area":null},{"id":"2101.09875","title":"Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation","created":"2021-01-25","cited_by_count":24,"area":null},{"id":"2208.14995","title":"Discovering Conservation Laws using Optimal Transport and Manifold Learning","created":"2022-08-31","cited_by_count":12,"area":null},{"id":"2307.05750","title":"Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms","created":"2023-07-07","cited_by_count":12,"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":"2203.00126","title":"Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach","created":"2022-02-28","cited_by_count":8,"area":null},{"id":"2206.11386","title":"Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise","created":"2022-06-22","cited_by_count":7,"area":null},{"id":"2209.08004","title":"Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling","created":"2022-09-16","cited_by_count":7,"area":null},{"id":"2306.06119","title":"Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction","created":"2023-06-05","cited_by_count":6,"area":null},{"id":"2307.02378","title":"Continuum Limits of Ollivier's Ricci Curvature on data clouds: pointwise consistency and global lower bounds","created":"2023-07-05","cited_by_count":6,"area":null},{"id":"2401.04372","title":"Stable generative modeling using Schr\\\"odinger bridges","created":"2024-01-09","cited_by_count":3,"area":null},{"id":"2407.01718","title":"Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets","created":"2024-07-01","cited_by_count":3,"area":null},{"id":"2409.07968","title":"Localized Schr\\\"odinger Bridge Sampler","created":"2024-09-12","cited_by_count":3,"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":"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":"2405.20909","title":"Nonparametric regression on random geometric graphs sampled from submanifolds","created":"2024-05-31","cited_by_count":1,"area":null},{"id":"2407.09061","title":"Spectral Self-supervised Feature Selection","created":"2024-07-12","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":"2406.18456","title":"Boundary Detection Algorithm Inspired by Locally Linear Embedding","created":"2024-06-26","cited_by_count":0,"area":null},{"id":"2505.21546","title":"Image denoising as a conditional expectation","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2507.06161","title":"Sinkhorn Normalization of Diffusion Kernels","created":"2025-07-08","cited_by_count":0,"area":null},{"id":"2507.18520","title":"Euclidean Distance Deflation Under High-Dimensional Heteroskedastic Noise","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2603.14601","title":"$K-$means with learned metrics","created":"2026-03-15","cited_by_count":0,"area":null}],"next_cursor":null}