An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization. - Carla Schenker; Jeremy E. Cohen; Evrim Acar (EUSIPCO, 2020)

PARAFAC2 AO-ADMM: Constraints in all modes. - Marie Roald; Carla Schenker; Jeremy E. Cohen; Evrim Acar (EUSIPCO, 2021)

An AO-ADMM approach to constraining PARAFAC2 on all modes. - Marie Roald; Carla Schenker; Rasmus Bro; Jeremy E. Cohen; Evrim Acar (CoRR, 2021)

A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations With Linear Couplings. - Carla Schenker; Jeremy E. Cohen; Evrim Acar (IEEE J. Sel. Top. Signal Process., 2021)

An AO-ADMM Approach to Constraining PARAFAC2 on All Modes. - Marie Roald; Carla Schenker; Vince D. Calhoun; Tülay Adali; Rasmus Bro; Jeremy E. Cohen; Evrim Acar (SIAM J. Math. Data Sci., 2022)

Parafac2-Based Coupled Matrix and Tensor Factorizations. - Carla Schenker; Xiulin Wang; Evrim Acar (ICASSP, 2023)

PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints. - Carla Schenker; Xiulin Wang; David Horner; Morten A. Rasmussen; Evrim Acar (CoRR, 2024)

tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data. - Christos Chatzis; Carla Schenker; Max Pfeffer; Evrim Acar (CoRR, 2024)

dCMF: Learning interpretable evolving patterns from temporal multiway data. - Christos Chatzis; Carla Schenker; Jérémy E. Cohen; Evrim Acar (CoRR, 2025)