The following pages link to Martin Burger (Q182364):
Displaying 44 items.
- (Q5294091) (← links)
- Phase‐Field Relaxation of Topology Optimization with Local Stress Constraints (Q5294592) (← links)
- The Keller–Segel Model for Chemotaxis with Prevention of Overcrowding: Linear vs. Nonlinear Diffusion (Q5296034) (← links)
- First Order Algorithms in Variational Image Processing (Q5350482) (← links)
- On a Boltzmann-type price formation model (Q5362168) (← links)
- (Q5419931) (← links)
- An Extension of the Kolmogorov-Avrami Formula to Inhomogeneous Birth-and-Growth Processes (Q5434317) (← links)
- Global weak solutions of non-isothermal front propagation problem (Q5448854) (← links)
- Regularizing Newton--Kaczmarz Methods for Nonlinear Ill-Posed Problems (Q5470952) (← links)
- Variational, Geometric, and Level Set Methods in Computer Vision (Q5493279) (← links)
- An Iterative Regularization Method for Total Variation-Based Image Restoration (Q5695938) (← links)
- Computer Vision - ECCV 2004 (Q5712901) (← links)
- A survey on level set methods for inverse problems and optimal design (Q5714580) (← links)
- Inverse Problems Related to Ion Channel Selectivity (Q5757359) (← links)
- Mean-Field Optimal Control and Optimality Conditions in the Space of Probability Measures (Q5858100) (← links)
- Training neural networks with noisy data as an ill-posed problem (Q5934295) (← links)
- Error bounds for approximation with neural networks (Q5959036) (← links)
- Stochastic and deterministic simulation of nonisothermal crystallization of polymers (Q5959200) (← links)
- Regularization methods for blind deconvolution and blind source separation problems (Q5959638) (← links)
- Variational regularization in inverse problems and machine learning (Q6064560) (← links)
- Analysis of kinetic models for label switching and stochastic gradient descent (Q6106920) (← links)
- Convex regularization in statistical inverse learning problems (Q6115632) (← links)
- Dynamic Optimal Transport on Networks (Q6138483) (← links)
- Sharp interface analysis of a diffuse interface model for cell blebbing with linker dynamics (Q6148902) (← links)
- Porous medium equation and cross-diffusion systems as limit of nonlocal interaction (Q6171636) (← links)
- Nonlinear eigenvalue problems for seminorms and applications (Q6200211) (← links)
- Risk Estimators for Choosing Regularization Parameters in Ill-Posed Problems - Properties and Limitations (Q6282070) (← links)
- Sparsity-promoting and edge-preserving maximum a posteriori estimators in non-parametric Bayesian inverse problems (Q6286453) (← links)
- Nonlinear Spectral Decompositions by Gradient Flows of One-Homogeneous Functionals (Q6312790) (← links)
- Total Variation Regularisation with Spatially Variable Lipschitz Constraints (Q6330545) (← links)
- Convergent Data-driven Regularizations for CT Reconstruction (Q6420634) (← links)
- Learned Regularization for Inverse Problems: Insights from a Spectral Model (Q6463746) (← links)
- Lane formation and aggregation spots in a model of ants (Q6519090) (← links)
- Continuum limit of $p$-biharmonic equations on graphs (Q6532743) (← links)
- Hypergraph $p$-Laplacian regularization on point clouds for data interpolation (Q6532963) (← links)
- Optimal transport on gas networks (Q6533073) (← links)
- Convergent data-driven regularizations for CT reconstruction (Q6575310) (← links)
- Ill-posedness of time-dependent inverse problems in Lebesgue-Bochner spaces (Q6581195) (← links)
- Covariance-modulated optimal transport and gradient flows (Q6660122) (← links)
- Analysis of Primal-Dual Langevin Algorithms (Q6730442) (← links)
- Adversarial flows: A gradient flow characterization of adversarial attacks (Q6731805) (← links)
- The graph $\infty$-Laplacian eigenvalue problem (Q6750461) (← links)
- Hypergraph $p$-Laplacian equations for data interpolation and semi-supervised learning (Q6754134) (← links)
- Analysis of mean-field models arising from self-attention dynamics in transformer architectures with layer normalization (Q6761164) (← links)
