Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models. - Julien Siems; Konstantin Ditschuneit; Winfried Ripken; Alma Lindborg; Maximilian Schambach; Johannes S. Otterbach; Martin Genzel (NeurIPS, 2023)

Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation. - Diego Botache; Jens Decke; Winfried Ripken; Abhinay Dornipati; Franz Götz-Hahn; Mohamed Ayeb; Bernhard Sick (CoRR, 2023)

Multiscale Neural Operators for Solving Time-Independent PDEs. - Winfried Ripken; Lisa Coiffard; Felix Pieper; Sebastian Dziadzio (CoRR, 2023)

Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation. - Diego Botache; Jens Decke; Winfried Ripken; Abhinay Dornipati; Franz Götz-Hahn; Mohamed Ayeb; Bernhard Sick (ECML/PKDD (10), 2024)

Enhancing Diffusion Models Efficiency by Disentangling Total-Variance and Signal-to-Noise Ratio. - Khaled Kahouli; Winfried Ripken; Stefan Gugler; Oliver T. Unke; Klaus-Robert Müller; Shinichi Nakajima (CoRR, 2025)

Sampling 3D Molecular Conformers with Diffusion Transformers. - J. Thorben Frank; Winfried Ripken; Gregor Lied; Klaus-Robert Müller; Oliver T. Unke; Stefan Chmiela (CoRR, 2025)