A PnP framework with axial coupling and Woodbury updates recovers cellular structures from compressed CS-LSM measurements of zebrafish hearts under a weakly convex regularization assumption.
Chambolle, An algorithm for total variation minimization and applications,J
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Develops optimistic and pessimistic calculus rules for set-valued bilevel constraints, derives nonsmooth adjoint inclusions, and proposes a convergent single-loop algorithm demonstrated on total variation inverse problems.
A prox-based semi-smooth Newton method for TV-minimization that is globally well-posed and locally superlinearly convergent under finite element discretization, extending to broader convex problems.
citing papers explorer
-
Plug-and-Play Volumetric Reconstruction for Compressive Sensing Light-Sheet Microscopy
A PnP framework with axial coupling and Woodbury updates recovers cellular structures from compressed CS-LSM measurements of zebrafish hearts under a weakly convex regularization assumption.
-
Single-loop approaches to nonsmooth bilevel optimisation
Develops optimistic and pessimistic calculus rules for set-valued bilevel constraints, derives nonsmooth adjoint inclusions, and proposes a convergent single-loop algorithm demonstrated on total variation inverse problems.
-
A $\operatorname{prox}$-Based Semi-Smooth Newton Method for TV-Minimization
A prox-based semi-smooth Newton method for TV-minimization that is globally well-posed and locally superlinearly convergent under finite element discretization, extending to broader convex problems.