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cs.LG2025
Physically consistent model learning for reaction-diffusion systems
Erion Morina, Martin Holler
This paper addresses the problem of learning reaction-diffusion (RD) systems from data while ensuring physical consistency and well-posedness of the learned models. Building on a r…
cs.LG2025
-approximation with rational functions and rational neural networks
Erion Morina, Martin Holler
We show that suitably regular functions can be approximated in the -norm both with rational functions and rational neural networks, including approximation rates wit…
math.OC2025
Exact Parameter Identification in PET Pharmacokinetic Modeling: Extension to the Reversible Two Tissue Compartment Model
Martin Holler, Erion Morina, Georg Schramm
This paper addresses the problem of recovering tracer kinetic parameters from multi-region measurement data in quantitative PET imaging using the reversible two tissue compartment…