Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. - Yue Guo; Felix Dietrich; Tom Bertalan; Danimir T. Doncevic; Manuel Dahmen; Ioannis G. Kevrekidis; Qianxiao Li (CoRR, 2021)

Hearts Gym: Learning Reinforcement Learning as a Team Event. - Jan Ebert; Danimir T. Doncevic; Ramona Kloß; Stefan Kesselheim (Teaching ML, 2022)

Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning. - Jan C. Schulze; Danimir T. Doncevic; Alexander Mitsos (Comput. Chem. Eng., 2022)

Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. - Yue Guo; Felix Dietrich; Tom Bertalan; Danimir T. Doncevic; Manuel Dahmen; Ioannis G. Kevrekidis; Qianxiao Li (SIAM J. Sci. Comput., 2022)

Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory. - Jan C. Schulze; Danimir T. Doncevic; Nils Erwes; Alexander Mitsos (CoRR, 2023)

A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. - Danimir T. Doncevic; Alexander Mitsos; Yue Guo; Qianxiao Li; Felix Dietrich; Manuel Dahmen; Ioannis G. Kevrekidis (SIAM J. Sci. Comput., 2024)