Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems
Bi-FORK learns one-to-many bifurcation maps with latent flow matching and repulsion-guided sampling.
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Stories tagged #generative-modeling
Discrete Wasserstein Flows for One-Step Generative Modeling
Discrete Wasserstein flows enable one-step generative modeling on finite state spaces.
Bridging Control, Inference, Transport, and Thermodynamics: From Theory to Applications in Learning
Review connects control theory, optimal transport, probabilistic inference, thermodynamics, and machine learning via free-energy optimization under constraints.