redner is a differentiable renderer that can take the derivatives of rendering outputs with respect to arbitrary scene parameters, that is, you can backpropagate from the image to your 3D scene. One ...
Abstract: This article examines the normal form of a multiple-input-multiple-output (MIMO) linear time-varying (LTV) system. It explores the transformation of such a system into its normal form using ...
Languages have highly diverse structures—e.g. some place verbs first, others elsewhere—and this diversity is remarkably uneven across the globe. In some regions, languages show a variety of verb ...
Flat prior (not usually recommended); Super-vague but proper prior: normal(0, 1e6) (not usually recommended); Weakly informative prior, very weak: normal(0, 10); Generic weakly informative prior: ...
Abstract: Equations are derived for rapid generation of the electromagnetic inverse scattering solution of a dielectric object with known T-matrix under the Born approximation in a full bistatic ...
Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States Biofuels and Bioproducts Division, DOE Joint BioEnergy Institute, ...
Rayleigh-Taylor (RT) and Richtmyer-Meshkov (RM) instabilities occur in many situations in Nature and technology from astrophysical to atomic scales, including stellar evolution, oceanic flows, plasma ...
One key ingredient in deep learning is the stochastic gradient descent (SGD) algorithm, which allows neural nets to find generalizable solutions at flat minima of the high-dimensional loss function.
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