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cs.LG2026
Generative Inverse Design with Abstention via Diagonal Flow Matching
Miguel de Campos, Werner Krebs, Hanno Gottschalk
Inverse design aims to find design parameters achieving target performance . Generative approaches learn bidirectional mappings between designs and labels, enabling divers…
cs.LG2025
Numerical and statistical analysis of NeuralODE with Runge-Kutta time integration
Emily C. Ehrhardt, Hanno Gottschalk, Tobias J. Riedlinger
NeuralODE is one example for generative machine learning based on the push forward of a simple source measure with a bijective mapping, which in the case of NeuralODE is given by t…