Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis

arXiv:2607.22262 · stat.ML, cs.LG, eess.SP · Submitted 2026-07-24 · Read on arXiv

Laura M. Montaldo, Ricardo A. Borsoi, Sebastian Miron, Tulay Adali

stat.ML, cs.LG, eess.SP

Submitted: 2026-07-24

Comments: 6 pages, 2 figures, conference

Code: https://github.com/lmontaldo/stvtd

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Generative Model — 7× in this paper · explained in 2 episodes
• Interpretability — 7× in this paper · explained in 15 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Data Fusion — 6× in this paper · explained in 3 episodes
• Reconstruction Error — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Group Independent Component Analysis — 2× in this paper
• Multimodal Data Fusion — 2× in this paper · explained in 2 episodes
• Structural Constraints — 2× in this paper · explained in 2 episodes
• Temporal Correlations — 2× in this paper · explained in 2 episodes
• Ablation Study — 1× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 3 episodes
• Canonical Polyadic Decomposition — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Kullback–Leibler Divergence — 1× in this paper · explained in 2 episodes
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Latent Variables — 1× in this paper · explained in 2 episodes
• Long Short-Term Memory (LSTM) — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Multilayer Perceptron (MLP) — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Parameterization — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 9 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

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