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Found 6 papers, 1 papers with code
Gromov-Wassertein-like Distances in the Gaussian Mixture Models Space
Our first contribution is the Mixture Gromov Wasserstein distance (MGW), which can be viewed as a Gromovized version of MW.
Can Push-forward Generative Models Fit Multimodal Distributions?
More precisely, we show that the total variation distance and the Kullback-Leibler divergence between the generated and the data distribution are bounded from below by a constant depending on the mode separation and the Lipschitz constant.
On quantitative Laplace-type convergence results for some exponential probability measures, with two applications
Classical results require the invertibility of the Hessian of $U$ in order to establish such asymptotics.
Unidentified Floating Object detection in maritime environment using dictionary learning
Later, we extract the residual image, which is the difference between the original image and the denoised (self-similar) image.
Exact Sampling of Determinantal Point Processes without Eigendecomposition
The exact algorithm to sample DPPs uses the spectral decomposition of $K$, a computation that becomes costly when dealing with a high number of points.
A survey of exemplar-based texture synthesis
The two main approaches are statistics-based methods and patch re-arrangement methods.
