{"total":20,"rows":[{"id":"2203.05120","title":"A low-rank ensemble Kalman filter for elliptic observations","created":"2022-03-10","cited_by_count":6,"area":null},{"id":"2105.05489","title":"Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference","created":"2021-05-12","cited_by_count":4,"area":null},{"id":"2411.08390","title":"Expected information gain estimation via density approximations: Sample allocation and dimension reduction","created":"2024-11-13","cited_by_count":4,"area":null},{"id":"2406.13036","title":"Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities","created":"2024-06-18","cited_by_count":3,"area":null},{"id":"2310.20285","title":"Accelerating Non-Conjugate Gaussian Processes By Trading Off Computation For Uncertainty","created":"2023-10-31","cited_by_count":2,"area":null},{"id":"2410.19990","title":"Dimension reduction via score ratio matching","created":"2024-10-25","cited_by_count":2,"area":null},{"id":"2212.14163","title":"A Data-Adaptive Prior for Bayesian Learning of Kernels in Operators","created":"2022-12-29","cited_by_count":1,"area":null},{"id":"2504.05806","title":"Meta-Continual Learning of Neural Fields","created":"2025-04-08","cited_by_count":1,"area":null},{"id":"2505.24134","title":"A Mathematical Perspective On Contrastive Learning","created":"2025-05-30","cited_by_count":1,"area":null},{"id":"2601.20888","title":"Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators","created":"2026-01-28","cited_by_count":1,"area":null},{"id":"2101.05958","title":"Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments","created":"2021-01-15","cited_by_count":0,"area":null},{"id":"2212.14595","title":"Posterior sampling with CNN-based, Plug-and-Play regularization with applications to Post-Stack Seismic Inversion","created":"2022-12-30","cited_by_count":0,"area":null},{"id":"2412.18406","title":"How accurate is mechanobiology? A statistical test of cell force","created":"2024-12-24","cited_by_count":0,"area":null},{"id":"2508.05831","title":"Optimal Linear Baseline Models for Scientific Machine Learning","created":"2025-08-07","cited_by_count":0,"area":null},{"id":"2602.21426","title":"Proximal-IMH: Proximal Posterior Proposals for Independent Metropolis-Hastings with Approximate Operators","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2603.22468","title":"SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2607.21721","title":"Priors learned from legacy reconstructions inherit undetectable overconfidence","created":"2026-07-23","cited_by_count":0,"area":null},{"id":"2608.25706","title":"Fast rates in Bayesian online learning with approximate posteriors","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.01370","title":"Diffusion Based Unpaired Data Learning for Inverse Problems","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.37762","title":"When Noise Estimation Hides Basis Misspecification in Repeated Bayesian Inverse Problems","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}