K-U-KAN combines KAN feature lifting, Koopman linear dynamics, and U-KAN refinement with physical and geometric priors to reconstruct 3D dental anatomy from single panoramic radiographs, matching baselines on metrics while improving perceptual quality and halving training time.
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Pith papers citing it
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2026 2verdicts
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Introduces a Lagrangian formalism treating genetic sequences as coordinates and mutation rates as velocities to derive a collective coherence coordinate, predicting broad variance in infection outcomes for organisms due to superposition.
citing papers explorer
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K-U-KAN: Koopman-Enhanced U-KAN for 3D Dental Reconstruction from a Single Panoramic X-ray Radiograph
K-U-KAN combines KAN feature lifting, Koopman linear dynamics, and U-KAN refinement with physical and geometric priors to reconstruct 3D dental anatomy from single panoramic radiographs, matching baselines on metrics while improving perceptual quality and halving training time.
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Classical Coherence Distinguishes Organisms from Colonies
Introduces a Lagrangian formalism treating genetic sequences as coordinates and mutation rates as velocities to derive a collective coherence coordinate, predicting broad variance in infection outcomes for organisms due to superposition.