Uncertainty decomposition via deep ensembles separates annotator disagreement from distribution shift in FER, enabling a routing mechanism that retains 1.8x more ambiguous faces at matched OOD rejection compared to single-uncertainty baselines.
Yu, Critical Ledgers and Scale-Defect Cascades for Navier–Stokes, arXiv preprint arXiv:2606.13887 [math.AP], 2026
4 Pith papers cite this work. Polarity classification is still indexing.
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Develops a recursive finite-window audit chain framework with anti-phantom certificates and propagation theorems for Navier-Stokes generated packages.
Proves a finite-chain CKN-bad scale counting theorem for 3D Navier-Stokes via standard PDE closure with one-component compactness and an amended canonical detector realization.
Design of delayed functional observers for estimating generalized delayed control laws to stabilize time-delay systems with mismatched input and output delays.
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Interpretable Uncertainty Routing Separating Emotion Ambiguity from Distribution Shift in Facial Expression Recognition
Uncertainty decomposition via deep ensembles separates annotator disagreement from distribution shift in FER, enabling a routing mechanism that retains 1.8x more ambiguous faces at matched OOD rejection compared to single-uncertainty baselines.
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Finite-Window Recursive Audit Chains for Navier-Stokes Generated Packages
Develops a recursive finite-window audit chain framework with anti-phantom certificates and propagation theorems for Navier-Stokes generated packages.
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Finite-Chain CKN-Bad Scale Counting for Navier-Stokes: Standard PDE Closure and Canonical Detector Realization
Proves a finite-chain CKN-bad scale counting theorem for 3D Navier-Stokes via standard PDE closure with one-component compactness and an amended canonical detector realization.
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Delayed Functional Observers for the Realization of Generalized Delayed Control Laws
Design of delayed functional observers for estimating generalized delayed control laws to stabilize time-delay systems with mismatched input and output delays.