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Deep active learning for nonlinear system identification
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Sparse neural networks with skip-connections for nonlinear system identification
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A novel corrective-source term approach to modeling unknown physics in aluminum extraction process
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Deep Model Predictive Variable Impedance Control
The capability to adapt compliance by varying muscle stiffness is crucia...
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Sparse deep neural networks for modeling aluminum electrolysis dynamics
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