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M. Roald, C. Schenker, V. D. Calhoun, T. Adali, R. Bro, J. E. Cohen and E. A. Ataman. "An AO-ADMM approach to constraining PARAFAC2 on all modes." SIAM Journal on Mathematics of Data Science 4 (2022): 1191-1222.

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C. Schenker, J. E. Cohen and E. A. Ataman. A Flexible Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorizations based on the Alternating Direction Method of Multipliers In Europt21, 18th Workshop on Advances in Continuous Optimization., 2021.

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C. Schenker, J. E. Cohen and E. A. Ataman. "A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings." IEEE Journal of Selected Topics in Signal Processing 15, no. 3 (2021): 506-521.

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sccoac20b.pdf (5.84 MB)

C. Schenker, M. Roald, J. E. Cohen and E. A. Ataman. A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings In Asilomar Conference on Signals, Systems, and Computers., 2021.

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C. Schenker, J. E. Cohen and E. A. Ataman. An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization. 2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2021.

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M. Roald, C. Schenker, J. E. Cohen and E. A. Ataman. PARAFAC2 AO-ADMM: Constraints in all modes In 2021 29th European Signal Processing Conference (EUSIPCO). IEEE, 2021.

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M. Roald, C. Schenker, J. E. Cohen and E. A. Ataman. Tracing Dynamic Networks through Constrained Parafac2 Decomposition In SIAM Conference on Applied Linear Algebra (LA21), Virtual Conference. SIAM, 2021.

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C. Schenker, J. E. Cohen and E. A. Ataman. An Optimization Framework for RegularizedLinearly Coupled Matrix-Tensor Factorization In European Signal Processing Conference (EUSIPCO). IEEE, 2020.

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