Showing 1–20 of 37 results
/ Date/ Name
Jul 18, 2023Convergent regularization in inverse problems and linear plug-and-play denoisersMar 9, 2023Provably Convergent Plug-and-Play Quasi-Newton MethodsOct 2, 2018Quantization-Aware Phase RetrievalOct 24, 2021Learning convex regularizers satisfying the variational source condition for inverse problemsJun 11, 2022Learned reconstruction methods with convergence guaranteesMar 19, 2014A Split-and-Merge Dictionary Learning Algorithm for Sparse RepresentationAug 26, 2014$\ell_1$-K-SVD: A Robust Dictionary Learning Algorithm With Simultaneous UpdateAug 6, 2020Learned convex regularizers for inverse problemsMar 30, 2021Adversarially learned iterative reconstruction for imaging inverse problemsSep 3, 2025Solving Imaging Inverse Problems Using Plug-and-Play Denoisers: Regularization and Optimization PerspectivesNov 10, 2025Bilevel Learning via Inexact Stochastic Gradient DescentAug 2, 2017Phase Retrieval From Binary MeasurementsJun 29, 2017Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared ImagingMar 21, 2022Operator Sketching for Deep Unrolling NetworksAug 9, 2023Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and AccelerationNov 15, 2023Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imagingMar 6, 2025Perturbation-Aware Distributionally Robust Optimization for Inverse ProblemsOct 7, 2021StyleGAN-induced data-driven regularization for inverse problemsJun 14, 2022Data-Driven Mirror Descent with Input-Convex Neural NetworksOct 21, 2022Robust Data-Driven Accelerated Mirror Descent