arXiv Machine Learning July 23, 2026 By Ivan Palagin

User-Centric Modeling of Transactional Sequences with Explainable State Space Models

Read the original on arXiv Machine Learning →

arXiv:2607. 20228v1 Announce Type: new Abstract: We propose a hybrid approach for user-centric modeling of transactional event sequences that combines contrastive representation learning (CoLES) with State Space Models (SSMs).

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