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stat.ML2026
On Theoretical Identifiability of Discrete Latent Causal Graphical Models
Seunghyun Lee, Yuqi Gu
This paper considers a challenging problem of identifying a causal graphical model under the presence of latent variables. While various identifiability conditions have been propos…
stat.ML2025
Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers
Seunghyun Lee, Yuqi Gu
In the era of generative AI, deep generative models (DGMs) with latent representations have gained tremendous popularity. Despite their impressive empirical performance, the statis…