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Chapter and Conference Paper
Robust Neural Network Approach to System Identification in the High-Noise Regime
We present a new algorithm for learning unknown governing equations from trajectory data, using a family of neural networks. Given samples of solutions x(t) to an unknown dynamical system
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Chapter
L ∞-Extremal Map**s in AMLE and Teichmüller Theory
These lecture focus on two vector-valued extremal problems which have a common feature in that the corresponding energy functionals involve L ∞ norm of ...