640 citations · 1.4k across the 17 of their papers we have counts for
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cs.LG2024★ 3 cited
tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data
Christos Chatzis, Carla Schenker, Max Pfeffer +1
Tensor factorizations have been widely used for the task of uncovering patterns in various domains. Often, the input is time-evolving, shifting the goal to tracking the evolution o…
cs.LG2024★ 1 cited
PARAFAC2-based Coupled Matrix and Tensor Factorizations with Constraints
Carla Schenker, Xiulin Wang, David Horner +2
Data fusion models based on Coupled Matrix and Tensor Factorizations (CMTF) have been effective tools for joint analysis of data from multiple sources. While the vast majority of C…