3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CE2025★ 1 cited
Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models
Long Chen, Emre Oezkaya, Jan Rottmayer +3
We introduce an adjoint-based aerodynamic shape optimization framework that integrates a diffusion model trained on existing designs to learn a smooth manifold of aerodynamically v…
cs.LG2024★ 3 cited
Diffusion Model for Data-Driven Black-Box Optimization
Zihao Li, Hui Yuan, Kaixuan Huang +4
Generative AI has redefined artificial intelligence, enabling the creation of innovative content and customized solutions that drive business practices into a new era of efficiency…
cs.CE2023★ 1 cited
Data-driven aerodynamic shape design with distributionally robust optimization approaches
Long Chen, Jan Rottmayer, Lisa Kusch +2
We formulate and solve data-driven aerodynamic shape design problems with distributionally robust optimization (DRO) approaches. Building on the findings of the work \cite{gotoh201…