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Showing results 1 to 8 of 8

	Title	Author(s)	Issue Date
	Computing low-rank approximations of large-scale matrices with the Tensor Network randomized SVD Journal:SIAM Journal on Matrix Analysis and Applications	Batselier, K Yu, W Daniel, L Wong, N	2018
	Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains Journal:IEEE Transactions on Image Processing	KO, CY Batselier, K Daniel, L Yu, W Wong, N	2020
	Fastened CROWN: Tightened Neural Network Robustness Certificates Proceeding/Conference:Proceedings of the AAAI Conference on Artificial Intelligence	Lyu, Z Ko, CY Kong, Z Wong, N Lin, D Daniel, L	2020
	Model reduction and simulation of nonlinear circuits via tensor decomposition Journal:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems	Liu, H Daniel, L Wong, N	2015
	A moment-matching scheme for the passivity-preserving model order reduction of indefinite descriptor systems with possible polynomial parts Proceeding/Conference:Asia and South Pacific Design Automation Conference Proceedings	Zhang, Z Wang, Q Wong, N Daniel, L	2011
	POPQORN: Quantifying Robustness of Recurrent Neural Networks Proceeding/Conference:Proceedings of Machine Learning Research (PMLR)	Ko, CY Lyu, Z Weng, TW Daniel, L Wong, N Lin, D	2019
	STAVES: speedy tensor-aided Volterra-based electronic simulator Proceeding/Conference:IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2015	Liu, H Xiong, X Batselier, K Jiang, L Daniel, L Wong, N	2015
	Tensor Computation: A New Framework for High-Dimensional Problems in EDA Journal:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems	Zhang, Z Batselier, K Liu, H Daniel, L Wong, N	2017

Showing results 1 to 8 of 8