News

Our work tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data is now published!

Our work dCMF: Learning interpretable evolving patterns from temporal multiway data is now published!

I presented at my talk Uncovering evolving patterns in temporal data with tensor decompositions at TRICAP (Three-way Methods in Chemistry and Psychology) 2025 workshop at Ålesund, Norway.

I presented my talk dCMF: Learning interpretable evolving patterns from temporal multiway data at Hidden structures in dynamical systems, optimization, and machine learning workshop at Gran Sasso Science Institute. Exciting!

A new preprint is available: dCMF: Learning interpretable evolving patterns from temporal multiway data. To appear in EUSIPCO 2025.

A new preprint is available: tPARAFAC2: Tracking evolving patterns in (incomplete) temporal data. To appear in Data Mining and Knowledge Discovery.

I presented my poster A time-aware tensor decomposition for concept evolution at Geilo Winter School in (you guessed it) Geilo, Norway.

Our work A Time-Aware Tensor Decomposition for Tracking Evolving Patterns is now published.