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cs.LG2026
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…
cs.LG2026
Generative Design of Ship Propellers using Conditional Flow Matching
Patrick Kruger, Rafael Diaz, Simon Hauschulz +2
In this paper, we explore the use of generative artificial intelligence (GenAI) for ship propeller design. While traditional forward machine learning models predict the performance…