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ORCIDDanimir T. Doncevic
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2020 – today
- 2024
[j3]Danimir T. Doncevic, Alexander Mitsos
, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis:
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM J. Sci. Comput. 46(2): 719- (2024)- 2023
- [i5]Jan C. Schulze, Danimir T. Doncevic, Nils Erwes, Alexander Mitsos:
Data-Driven Model Reduction and Nonlinear Model Predictive Control of an Air Separation Unit by Applied Koopman Theory. CoRR abs/2309.05386 (2023) - 2022
- [j2]Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos:
Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning. Comput. Chem. Eng. 161: 107781 (2022) - [j1]Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li:
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. SIAM J. Sci. Comput. 44(4): 1911- (2022) - [c1]Jan Ebert, Danimir T. Doncevic, Ramona Kloß, Stefan Kesselheim:
Hearts Gym: Learning Reinforcement Learning as a Team Event. Teaching ML 2022: 16-21 - [i4]Jan C. Schulze, Danimir T. Doncevic, Alexander Mitsos:
Identification of MIMO Wiener-type Koopman Models for Data-Driven Model Reduction using Deep Learning. CoRR abs/2201.12669 (2022) - [i3]Jan Ebert, Danimir T. Doncevic, Ramona Kloß, Stefan Kesselheim:
Hearts Gym: Learning Reinforcement Learning as a Team Event. CoRR abs/2209.05466 (2022) - [i2]Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis:
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. CoRR abs/2211.12386 (2022) - 2021
- [i1]Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li:
Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. CoRR abs/2105.01303 (2021)
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