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A space-time adaptive low-rank method for high-dimensional parabolic partial differential equations
Journal Article 2024
Two-stage robust combinatorial optimization problems with consistent decisions under discrete demand uncertainty and an application to appointment scheduling in primary health care
Dissertation / PhD Thesis pp. 1 Online-Ressource : Illustrationen, 2024
Low-rank tensor product Richardson iteration for radiative transfer in plane-parallel geometry
Preprint pp. 22 Seiten, 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
Preprint 2024
Variationally Correct Neural Residual Regression for Parametric PDEs: On the Viability of Controlled Accuracy
Preprint 2024
The turnpike property for high‐dimensional interacting agent systems in discrete time
Journal Article Optimal control, applications and methods | 2024
Graph Neural Networks Do Not Always Oversmooth
Preprint 2024
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
Preprint pp. 26 Seiten, 2024
Energy Propagation in Scattering Convolution Networks Can Be Arbitrarily Slow
Preprint 2024
An adaptive space-time method for nonlinear poroviscoelastic flows with discontinuous porosities
Preprint 2024
Controlled invariant varieties for second order polynomial control systems
Journal Article, Contribution to a conference proceedings 2024
Recent kernel methods for interacting particle systems: first numerical results
Journal Article 2024
Fluid flow channeling and mass transport with discontinuous porosity distribution
Preprint 2024
Operator-dependent prolongation and restriction for the parameter-dependent multigrid method using low-rank tensor formats
Journal Article 2024
Entropy-stable fluxes for high-order Discontinuous Galerkin simulations of high-enthalpy flows
Preprint 2024
Coordinate- and spacetime-independent quantum physics
Preprint 2024
Trace estimates for harmonic functions along circular arcs with applications to domain decomposition on overlapping disks
Preprint 2024
Non-parametric Inference for Diffusion Processes: A Computational Approach via Bayesian Inversion for PDEs
Preprint 2024
Towards Continuous Mathematical Models for the Analysis of Classes of Deep Neural Networks
Journal Article 2024
Some Thoughts on Compositional Tensor Networks
Journal Article 2024