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Found 11 papers, 9 papers with code
Latent-space disentanglement with untrained generator networks for the isolation of different motion types in video data
Isolating different types of motion in video data is a highly relevant problem in video analysis.
Total Deep Variation: A Stable Regularizer for Inverse Problems
In this work, we combine the variational formulation of inverse problems with deep learning by introducing the data-driven general-purpose total deep variation regularizer.
Total Deep Variation for Linear Inverse Problems
Diverse inverse problems in imaging can be cast as variational problems composed of a task-specific data fidelity term and a regularization term.
Optimal control of the principal coefficient in a scalar wave equation
We consider optimal control of the scalar wave equation where the control enters as a coefficient in the principal part.
Optimization and Control
Tensor Decomposition Methods for High-dimensional Hamilton-Jacobi-Bellman Equations
For nonlinear dynamics, the effectiveness of the high-dimensional control synthesis method is assessed in the optimal feedback stabilization of the Allen-Cahn and Fokker-Planck equations with a hundred of variables.
Optimization and Control Numerical Analysis Numerical Analysis
An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration
We investigate a well-known phenomenon of variational approaches in image processing, where typically the best image quality is achieved when the gradient flow process is stopped before converging to a stationary point.
Total variation regularization of multi-material topology optimization
This work is concerned with the determination of the diffusion coefficient from distributed data of the state.
Optimization and Control
A convex penalty for switching control of partial differential equations
A convex penalty for promoting switching controls for partial differential equations is introduced; such controls consist of an arbitrary number of components of which at most one should be simultaneously active.
Optimization and Control
A convex analysis approach to multi-material topology optimization
This work is concerned with optimal control of partial differential equations where the control enters the state equation as a coefficient and should take on values only from a given discrete set of values corresponding to available materials.
Optimization and Control
A convex analysis approach to optimal controls with switching structure for partial differential equations
Optimal control problems involving hybrid binary-continuous control costs are challenging due to their lack of convexity and weak lower semicontinuity.
Optimization and Control
Nonconvex penalization of switching control of partial differential equations
This paper is concerned with optimal control problems for parabolic partial differential equations with pointwise in time switching constraints on the control.
Optimization and Control
