RieIF combines Riemannian projection, KG-prior graph transformers, LSTMs, and geometric gating to predict spatio-temporal signals under systemic blind spots in wireless networks.
Amari,Information Geometry and Its Applications
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Intelligence Inertia models the computational resistance to structural change in neural networks via a heuristic relativistic analogy, yielding a J-shaped cost curve that diverges from classical approximations.
citing papers explorer
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RieIF: Knowledge-Driven Riemannian Information Flow for Robust Spatio-Temporal Graph Signal Prediction in 6G Wireless Networks
RieIF combines Riemannian projection, KG-prior graph transformers, LSTMs, and geometric gating to predict spatio-temporal signals under systemic blind spots in wireless networks.
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Intelligence Inertia: Physical Isomorphism and Applications
Intelligence Inertia models the computational resistance to structural change in neural networks via a heuristic relativistic analogy, yielding a J-shaped cost curve that diverges from classical approximations.