Tensorized algorithms and scalable filtering methods for hidden Markov and factorial hidden Markov models

arXiv:2607.07008 · stat.ML, cs.LG · Submitted 2026-07-08 · Read on arXiv

Roxana Barrios, Ioannis Sgouralis

stat.ML, cs.LG

Submitted: 2026-07-08

Comments: 23 pages, 3 figures

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

Terminology

• Accuracy — 7× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 4 episodes
• Generalization — 2× in this paper · explained in 14 episodes
• Hamming Distance — 2× in this paper · explained in 2 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Conservation Laws — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Detecting State Changes in Functional Neuronal Connectivity using Factorial Switching Linear Dynamical Systems

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