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Guaranteed passive balancing transformations for model order reduction., , and . DAC, page 52-57. ACM, (2002)Tensor Computation: A New Framework for High-Dimensional Problems in EDA., , , , and . CoRR, (2016)A Big-Data Approach to Handle Many Process Variations: Tensor Recovery and Applications., , and . CoRR, (2016)Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition., , , , and . CoRR, (2014)Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD., , , and . SIAM J. Matrix Anal. Appl., 39 (3): 1221-1244 (2018)Robust Deep Reinforcement Learning through Adversarial Loss., , and . CoRR, (2020)Tensor Computation: A New Framework for High-Dimensional Problems in EDA., , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 36 (4): 521-536 (2017)Guaranteed passive balancing transformations for model order reduction., , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 22 (8): 1027-1041 (2003)Stable Reduced Models for Nonlinear Descriptor Systems Through Piecewise-Linear Approximation and Projection., and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 28 (10): 1467-1480 (2009)A Piecewise-Linear Moment-Matching Approach to Parameterized Model-Order Reduction for Highly Nonlinear Systems., and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 26 (12): 2116-2129 (2007)