ICML 2026: Information-geometric adaptive sampling for graph diffusion
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May 4, 2026 - Python
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fisher-rao-metric
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Book II of Dark Geometry: the Standard Model gauge group, particle masses, couplings and mixing angles derived from d=3 and the Planck mass alone — zero free parameters. ~170 predictions, ~80 sub-percent (Koide leptons, v_H to 22 ppm, m_p/m_e=6π⁵). Verification code + master table.
particle-physics theoretical-physics standard-model mathematical-physics higgs-boson information-geometry gauge-theory neutrino-mass holographic-principle spectral-theory fundamental-constants zero-free-parameters fisher-rao-metric dark-geometry koide-formula dark-boson informational-geometry
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Jun 18, 2026 - Python
Local KL–Fisher information-geometric bridge to Jensen–Shannon geometry for multi-observer aggregation. Companion code to Khomyakov (2026), Zenodo DOI 10.5281/zenodo.20373266. Verifies the 1/8 coefficient, multi-observer Fréchet barycenter expansion, and O(ε²) p_F–p_G coincidence.
python reproducible-research scientific-computing kullback-leibler-divergence jensen-shannon-divergence fisher-information information-geometry numerical-verification multi-observer observer-entropy fisher-rao-metric probability-simplex frechet-barycenter partition-adapted-parameterization softmax-family
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May 27, 2026 - Python
KL-Geometric Structure of Observer Entropy. Bridge Theorem: S_obs = ½ε²vᵀI(θ)v + O(ε³). Fisher–Rao metric, sufficient conditions, dissipation functional, Landauer bound. Two worked examples + 12 off-center robustness checks. Python v3 verification script and 7 figures.
python entropy reproducibility softmax coarse-graining kl-divergence exponential-family fisher-information riemannian-geometry information-geometry numerical-verification cognitive-projection observer-entropy asymptotic-expansion landauer-principle statistical-manifold fisher-rao-metric dissipation-functional bridge-theorem sufficient-conditions
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Jun 15, 2026 - Python
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