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cs.LG2022
Operator inference with roll outs for learning reduced models from scarce and low-quality data
Wayne Isaac Tan Uy, Dirk Hartmann, Benjamin Peherstorfer
Data-driven modeling has become a key building block in computational science and engineering. However, data that are available in science and engineering are typically scarce, oft…
cs.LG2022
Active-learning-based non-intrusive Model Order Reduction
Qinyu Zhuang, Dirk Hartmann, Hans Joachim Bungartz +1
The Model Order Reduction (MOR) technique can provide compact numerical models for fast simulation. Different from the intrusive MOR methods, the non-intrusive MOR does not require…