517 results on '"Martin Burger"'
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2. Assessment of Inadequate Use of Pediatric Emergency Medical Transport Services: The Pediatric Emergency and Ambulance Critical Evaluation (PEACE) Study
3. Soil sampling protocol reliably estimates preplant NO3− in SDI tomatoes
4. The Effect of Head Model Simplification on Beamformer Source Localization
5. Extubação precoce na sala de operação após cirurgia cardíaca infantil Early extubation at operation room in children after cardiac heart surgery
6. Changes in soil carbon and enzyme activity as a result of different long-term fertilization regimes in a greenhouse field.
7. Frozen cropland soil in northeast China as source of N2O and CO2 emissions.
8. Hypergraph p-Laplacians and Scale Spaces.
9. Spectral Total-variation Processing of Shapes - Theory and Applications.
10. Anel vascular associado a divertículo de Kommerell: relato de caso Vascular ring related to Kommerell diverticula: case report
11. Operação de Ross: a intervenção ideal para pacientes aórticos jovens?
12. Crop Residue Biomass Effects on Agricultural Runoff
13. Hypergraph p-Laplacian regularization on point clouds for data interpolation.
14. Adversarial flows: A gradient flow characterization of adversarial attacks.
15. Continuum limit of p-biharmonic equations on graphs.
16. Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks.
17. Resolution-Invariant Image Classification Based on Fourier Neural Operators.
18. Region-of-Interest Prioritised Sampling for Constrained Autonomous Exploration Systems.
19. A Diffuse Interface Model for Cell Blebbing Including Membrane-Cortex Coupling with Linker Dynamics.
20. Phase Separation in Systems of Interacting Active Brownian Particles.
21. A Bregman Learning Framework for Sparse Neural Networks.
22. Learned Regularization for Inverse Problems: Insights from a Spectral Model.
23. Ill-posedness of time-dependent inverse problems in Lebesgue-Bochner spaces.
24. Learning a Sparse Representation of Barron Functions with the Inverse Scale Space Flow.
25. Identifying untrustworthy predictions in neural networks by geometric gradient analysis.
26. Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks.
27. Mean-Field Optimal Control and Optimality Conditions in the Space of Probability Measures.
28. Adaptive Superresolution in Deconvolution of Sparse Peaks.
29. Computing Nonlinear Eigenfunctions via Gradient Flow Extinction.
30. A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions.
31. On a Reaction-Cross-Diffusion System Modeling the Growth of Glioblastoma.
32. Adaptive Regularization of Some Inverse Problems in Image Analysis.
33. Spectral Total-Variation Processing of Shapes - Theory and Applications.
34. Analysis of Kinetic Models for Label Switching and Stochastic Gradient Descent.
35. Convergent Data-driven Regularizations for CT Reconstruction.
36. Unified Models for Second-Order TV-Type Regularisation in Imaging: A New Perspective Based on Vector Operators.
37. A Diffuse Interface Model for Cell Blebbing Including Membrane-Cortex Coupling with Linker Dynamics.
38. Convex regularization in statistical inverse learning problems.
39. Learning convex regularizers satisfying the variational source condition for inverse problems.
40. Gradient Flows, Nonlinear Power Methods, and Computation of Nonlinear Eigenfunctions.
41. Variational Regularization in Inverse Problems and Machine Learning.
42. A Bregman Learning Framework for Sparse Neural Networks.
43. Neural Architecture Search via Bregman Iterations.
44. Besondere Herausforderungen bei Sucheinsatz in 'Üble Schlucht'
45. Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems.
46. Nonlinear Spectral Image Fusion.
47. On inverse problems for semiconductor equations.
48. Sampled Nonlocal Gradients for Stronger Adversarial Attacks.
49. Sequentially optimized projections in X-ray imaging.
50. Mean-field optimal control for biological pattern formation.
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