{"total":15,"rows":[{"id":"2301.10155","title":"UNO: Unlimited Sampling Meets One-Bit Quantization","created":"2022-12-10","cited_by_count":11,"area":null},{"id":"2212.13597","title":"Optimal Regularization for a Data Source","created":"2022-12-27","cited_by_count":6,"area":null},{"id":"2109.08666","title":"Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields","created":"2021-09-17","cited_by_count":2,"area":null},{"id":"2508.06490","title":"Multivariate Fields of Experts for Convergent Image Reconstruction","created":"2025-08-08","cited_by_count":2,"area":null},{"id":"2104.04704","title":"DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network","created":"2021-04-10","cited_by_count":1,"area":null},{"id":"2107.10306","title":"A Sparsity Algorithm with Applications to Corporate Credit Rating","created":"2021-07-21","cited_by_count":1,"area":null},{"id":"2401.10310","title":"Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement","created":"2024-01-18","cited_by_count":1,"area":null},{"id":"2507.20447","title":"WEEP: A Differentiable Nonconvex Sparse Regularizer via Weakly-Convex Envelope","created":"2025-07-28","cited_by_count":1,"area":null},{"id":"2510.17396","title":"RINS-T: Robust Implicit Neural Solvers for Time Series Linear Inverse Problems","created":"2025-10-20","cited_by_count":1,"area":null},{"id":"2105.00003","title":"NuSPAN: A Proximal Average Network for Nonuniform Sparse Model -- Application to Seismic Reflectivity Inversion","created":"2021-05-01","cited_by_count":0,"area":null},{"id":"2201.12709","title":"Low-Rank Tensor Completion Based on Bivariate Equivalent Minimax-Concave Penalty","created":"2022-01-30","cited_by_count":0,"area":null},{"id":"2501.11135","title":"Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks","created":"2025-01-19","cited_by_count":0,"area":null},{"id":"2603.01304","title":"Nonconvex Latent Optimally Partitioned Block-Sparse Recovery via Log-Sum and Minimax Concave Penalties","created":"2026-03-01","cited_by_count":0,"area":null},{"id":"2604.19314","title":"Framelet-Based Blind Image Restoration with Minimax Concave Regularization","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2606.29261","title":"Nonlinear mixture model motivated subspace clustering","created":"2026-06-28","cited_by_count":0,"area":null}],"next_cursor":null}