Carla Schenker

According to our database, Carla Schenker authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

tPARAFAC2: tracking evolving patterns in (incomplete) temporal data.

Christos Chatzis, Carla Schenker, Max Pfeffer, Evrim Acar

Data Min. Knowl. Discov., November, 2025

PARAFAC2-Based Coupled Matrix and Tensor Factorizations With Constraints.

Carla Schenker, Xiulin Wang, David Horner, Morten A. Rasmussen, Evrim Acar

IEEE J. Sel. Top. Signal Process., October, 2025

dCMF: Learning Interpretable Evolving Patterns from Temporal Multiway Data.

Christos Chatzis, Carla Schenker, Jérémy E. Cohen, Evrim Acar

Proceedings of the 33rd European Signal Processing Conference, 2025

2023

Parafac2-Based Coupled Matrix and Tensor Factorizations.

Carla Schenker, Xiulin Wang, Evrim Acar

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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., September, 2022

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, Rasmus Bro, Jeremy E. Cohen, Evrim Acar

CoRR, 2021

PARAFAC2 AO-ADMM: Constraints in all modes.

Marie Roald, Carla Schenker, Jeremy E. Cohen, Evrim Acar

Proceedings of the 29th European Signal Processing Conference, 2021

2020

An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization.

Carla Schenker, Jeremy E. Cohen, Evrim Acar

Proceedings of the 28th European Signal Processing Conference, 2020