Fisher Metric for Diagonalizable Quadratic Hamiltonians and Application to Phase Transitions
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New Fisher Widths Analyze Statistical Manifold Complexity
This paper introduces two new functionals, the primal Fisher width and the inverse-Fisher width, to analyze Gaussian-width complexity on statistical manifolds. These widths offer complementary insights into local parame…
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New framework unifies singular learning theory and information geometry
Researchers have developed a new framework called Geometric Singular Learning that bridges singular learning theory and information geometry. This approach introduces the concept of a "dead direction" to unify parameter…