{"total":13,"rows":[{"id":"2510.01755","title":"Learning Regularization Functionals for Inverse Problems: A Comparative Study","created":"2025-10-02","cited_by_count":15,"area":null},{"id":"2502.04079","title":"DEALing with Image Reconstruction: Deep Attentive Least Squares","created":"2025-02-06","cited_by_count":6,"area":null},{"id":"2406.12289","title":"Stability of Data-Dependent Ridge-Regularization for Inverse Problems","created":"2024-06-18","cited_by_count":5,"area":null},{"id":"2407.06608","title":"Iteratively Refined Image Reconstruction with Learned Attentive Regularizers","created":"2024-07-09","cited_by_count":3,"area":null},{"id":"2502.16532","title":"Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation","created":"2025-02-23","cited_by_count":3,"area":null},{"id":"2412.06436","title":"An Adaptively Inexact Method for Bilevel Learning Using Primal-Dual Style Differentiation","created":"2024-12-09","cited_by_count":2,"area":null},{"id":"2503.07814","title":"Whiteness-based bilevel estimation of weighted TV parameter maps for image denoising","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2503.09483","title":"Learning Spatially Adaptive $\\ell_1$-Norms Weights for Convolutional Synthesis Regularization","created":"2025-03-12","cited_by_count":2,"area":null},{"id":"2507.23129","title":"MRpro: open framework for model-based, learned, and quantitative MR imaging","created":"2025-07-30","cited_by_count":2,"area":null},{"id":"2503.16010","title":"Patch-based learning of adaptive Total Variation parameter maps for blind image denoising","created":"2025-03-20","cited_by_count":0,"area":null},{"id":"2505.08324","title":"An incremental algorithm for non-convex AI-enhanced medical image processing","created":"2025-05-13","cited_by_count":0,"area":null},{"id":"2506.07008","title":"Deep regularization networks for inverse problems with noisy operators","created":"2025-06-08","cited_by_count":0,"area":null},{"id":"2511.10500","title":"Learnable Total Variation with Lambda Mapping for Low-Dose CT Denoising","created":"2025-11-13","cited_by_count":0,"area":null}],"next_cursor":null}