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stat.ML2026
End-to-End Identifiable and Consistent Recurrent Switching Dynamical Systems
Carles Balsells-Rodas, Zhengrui Xiang, Xavier Sumba +1
Learning identifiable representations in deep generative models remains a fundamental challenge, particularly for sequential data with regime-switching dynamics. Existing approache…
stat.ML2026
On the Identifiability of Regime-Switching Models with Multi-Lag Dependencies
Carles Balsells-Rodas, Toshiko Matsui, Pedro A. M. Mediano +2
Identifiability is central to the interpretability of deep latent variable models, ensuring parameterisations are uniquely determined by the data-generating distribution. However,…