Physics-Informed Support Vector Kernels via Green-Function Analogies and Jackson-Chebyshev Spectral Design
A mathematical machine-learning paper on physics-informed kernel design with no direct AI risk or safety implications.
A mathematical machine-learning paper on physics-informed kernel design with no direct AI risk or safety implications.
Auto-scored: Pure methodological math/ML research with no risk or mitigation relevance to the ARQ rubric.