Metastability: A Potential-Theoretic Approach

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Entropy-SGD: biasing gradient descent into wide valleys (2016, methodology): “One can also see this via an application of Kramer’s law: the time spent by diffusion is inversely proportional to the smallest negative eigenvalue of the Hessian at a saddle point (Bovier & den Hollander, 2006).”
Building a Telescope to Look Into High-Dimensional Image Spaces (2018, methodology): “Following the approach of Bovier [4], one can formally characterize image galaxies by dividing the image space into metastable regions, such that a diffusion process on E mixes over short time-scales within a region, while mixing occurs over long time-scales between regions.”