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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Bi-FORK learns one-to-many bifurcation maps with latent flow matching and repulsion-guided sampling.
HamiFormer cuts Hamiltonian phase-space error using dual-expert diffusion and affine symplectic maps.
Latent-MoE adds domain-aware mixture-of-experts routing to PINNs, improving accuracy over an order of magnitude on multi-regime physics PDEs.
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