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Found 5 papers, 0 papers with code
Sampling and estimation on manifolds using the Langevin diffusion
Error bounds are derived for sampling and estimation using a discretization of an intrinsically defined Langevin diffusion with invariant measure $d\mu_\phi \propto e^{-\phi} \mathrm{dvol}_g $ on a compact Riemannian manifold.
Shape And Structure Preserving Differential Privacy
It is common for data structures such as images and shapes of 2D objects to be represented as points on a manifold.
Joint quasiprobability distribution on the measurement outcomes of MUB-driven operators
We propose a method to define quasiprobability distributions for general spin-$j$ systems of dimension $n=2j+1$, where $n$ is a prime or power of prime.
Quantum Physics
A diffusion approach to Stein's method on Riemannian manifolds
We detail an approach to develop Stein's method for bounding integral metrics on probability measures defined on a Riemannian manifold $\mathbf M$.
Invariance and identifiability issues for word embeddings
Word embeddings are commonly obtained as optimizers of a criterion function $f$ of a text corpus, but assessed on word-task performance using a different evaluation function $g$ of the test data.
