Unverified50% confidenceFactExact time
The framework in this paper supports calibrators in multiple forms, ranging from temperature scaling and matrix scaling to neural network layers.
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10/12/2026
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UnverifiedMatrix scaling is a generalization of temperature scaling that replaces the scalar with a full linear transformation matrix, offering greater expressive power but with parameter count growing quadratically with the number of classes.65% similarUnverifiedThe paper restricts its study to single-hidden-layer linear networks with isotropic Gaussian priors, examining temperature scheduling strategies of the form T = τ/M^c.65% similarUnverifiedThe method proposed in the paper is named the Invariant Kernel Neural Operator with Conditioned Isotropy (IKNO), and it is a compact graph model.64% similarUnverifiedThe paper's system consists of four modules: a global Fourier Neural Operator, a local operator, a set-aware selector, and a macro policy.64% similarVerifiedThe forward propagation of a neural network is essentially matrix multiplication.62% similar
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