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cs.LG2026
Deterministic Decomposition of Stochastic Generative Dynamics
Xingyu Song, Yuan Mei, Naoya Takeishi
Modern generative models can be understood as probability transport from a simple base distribution to a target data distribution. Deterministic transport models offer tractable ve…
cs.LG2026
Sharpness-Aware Hybrid Model Learning for Architecture-Agnostic Parameter Estimation
Naoya Takeishi
Hybrid modeling, the combination of machine learning models and scientific mathematical models, enables flexible and robust data-driven prediction with partial interpretability. Ho…