… By interpreting the process as an ODE flow, we derive the framework of Gaussian interpolation
flows. First and foremost, an intuition is that the regularizing effect of Gaussian denoising …

… interpolating irregularly spaced data onto a regular grid. Both techniques are global interpolators;
the Gaussian … to a viscous smoothing of the fluid flow. Performance curves are given, …

… “spline boundary conditions” are obtained from the governing equations and/or the
interpolation … In this section, these spline conditions are obtained directly from the interpolation …

… to interpolate surface wind pressures where no measuring taps are arranged or under wind
directions that are not measured. Gaussian … The newly proposed time history interpolation …

… of flow factors in hydrodynamic lubrication with non-Gaussian … flow factors in hydrodynamic
lubrication for non-Gaussian … and in principle can be applied to any ‘Gaussian’ flow factor. …

… Wavelet noise with a quadratic B-spline from a discrete set of Gaussian distributed noise
samples. While they only added a small noise residual to an existing low-resolution …

… flow was computed at each of the points marked by a dot, using for the window function 7 ja
gaussian of … In each case, the computed flow field is very consistent with the global motion …

… We now evaluate the restriction of a normalizing flow to a unit p-norm sphere and compare
them to a Gaussian base distribution. As we focus on a principled way of interpolating in flow-…

… In our work, we apply Gaussian interpolation to the simulated flow data to extract smooth,
continuous features that represent the underlying structure of the flow. The proposed algorithm …

… base is a Gaussian density, we also show that the velocity of our normalizing flow can also
be … In particular we can interpolate between any two densities in finite time and directly obtain …