Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
Master the art of visualizing histograms and normal distributions in Web VPython! This guide teaches you how to create dynamic, interactive 3D plots to enhance your data analysis and physics ...
Gaussian Splatting is a cutting-edge 3D representation technique that models a scene as a set of learnable 3D Gaussian primitives. Each Gaussian defines a point in space with position, color, opacity, ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
This paper presents an analysis of properties of two hybrid discretisation methods for Gaussian derivatives, based on convolutions with either the normalised sampled Gaussian kernel or the integrated ...
ABSTRACT: Precipitation is a critical meteorological factor that significantly impacts agriculture in the sub-Saharan and Sahelian regions of Africa. Accurate knowledge of precipitation levels aids in ...
Abstract: In CRYPTO 2013, Ducas et al. introduced a bimodal discrete Gaussian distribution into the Fiat-Shamir with abort paradigm, proposing a signature scheme called BLISS, which significantly ...
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