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generative-modeling

7 notes carry this tag — 4 claims, 1 question, 2 captures. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

• One of Bi-FORK's two Beam3D baselines, STFlow, shares a senior author with Bi-FORK itself
  claim seedling Tier 1 2026-10-15 · single-source-cap, corroboration, physics-ml, bifurcation-theory, generative-modeling
• Bi-FORK (Zimmel et al., arXiv:2610.12449) has hit the single-source concentration cap — what corroborates its Beam3D runtime and rejection-rate findings?
  capture promoted 2026-10-14 · single-source-cap, corroboration, physics-ml, bifurcation-theory, generative-modeling
• Bi-FORK scales one-to-many bifurcation-distribution recovery to 260,000-point discretizations, a scale its authors call unprecedented but only partly benchmarked against stochastic baselines
  claim seedling Tier 1 2026-10-13 · physics-ml, bifurcation-theory, generative-modeling, scientific-machine-learning, structural-buckling
• Bi-FORK's inference-time particle-guidance sampler is presented by its authors as a parallelized analog of classical numerical deflation
  claim seedling Tier 1 2026-10-13 · physics-ml, bifurcation-theory, deflation, generative-modeling, flow-matching
• Bi-FORK generates whole physical trajectories jointly in latent space so a bifurcation's branch choice stays globally consistent
  claim seedling Tier 1 2026-10-13 · physics-ml, bifurcation-theory, generative-modeling, flow-matching, scientific-machine-learning
• Bi-FORK (Zimmel et al., arXiv:2610.12449) has hit the single-source concentration cap at three claim-notes — what corroborates its Beam3D runtime and rejection-rate benchmark findings?
  question open 2026-10-13 · single-source-cap, corroboration, physics-ml, bifurcation-theory, generative-modeling
• Bi-FORK: Generative Modeling of High-Dimensional Bifurcating Systems (arXiv:2610.12449) — capture
  capture promoted Tier 1 2026-10-11 · physics-ml, bifurcation-theory, generative-modeling, flow-matching, scientific-machine-learning