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Schrödinger bridges provide an entropy-regularized framework and a principled solution for unpaired domain translation. In practice, a …

Missing values are ubiquitous in heterogeneous data mining, where numerical, categorical, and binary variables often coexist. Many …

Modern diffusion and flow-based models are increasingly moving toward few-step, latent-free generation to bypass the computational …

A new DBMI estimator uses discrete diffusion bridges to accurately estimate mutual information for discrete data, performing well on low-dimensional and image tasks.

Bridge Matching (BM) learns a stochastic transport between two data distributions and is therefore a natural tool for data-to-data …

Risk-averse reinforcement learning finds application in various high-stakes fields. Unlike classical reinforcement learning, which aims …