Kevin Cremanns

Deep Gaussian Covariance Network pdf

Dirk Roos, Kevin Cremanns, D. Roos, 2017, ArXiv.

Efficient Multi-Objective Optimization of Labyrinth Seal Leakage in Steam Turbines Based on Hybrid Surrogate Models

Simon Hecker, Dirk Roos, Christian Musch, 2016 .

Steam Turbine Exhaust Optimization Based on Gaussian Covariance Networks Using Transient CFD Simulations

Simon Hecker, Dirk Roos, Christian Musch, 2018 .

Sequential vs Multidisciplinary Coupled Optimization and Efficient Surrogate Modelling of a Last Stage and the Successive Axial Radial Diffuser in a Low Pressure Steam Turbine

Dirk Roos, Kevin Cremanns, Arne Graßmann, 2014 .

Robust Design Optimization of a Steam Turbine Labyrinth Seal Based on Surrogate Models

Simon Hecker, Dirk Roos, Christian Musch, 2018 .

Probabilistic machine learning for pattern recognition and design exploration

Sebastian Münstermann, Kevin Cremanns, Dirk Roos, 2021 .

Application of machine learning algorithms for use in material chemistry

Kevin Cremanns, Christian Schmitz, Golnaz Bissadi, 2022, Computational and Data-Driven Chemistry Using Artificial Intelligence.