4 citations · 4 across the 2 of their papers we have counts for
3 papers
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…
Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks
Patrick Krüger, Hanno Gottschalk, Werner Krebs +1
The need to burn 100% H2 in high efficient gas turbines featuring low NOx combustion in premix mode require the complete redesign of the combustion system to ensure stable operatio…
How well do generative models solve inverse problems? A benchmark study
Patrick Krüger, Patrick Materne, Werner Krebs +1
Generative learning generates high dimensional data based on low dimensional conditions, also called prompts. Therefore, generative learning algorithms are eligible for solving (Ba…