A fast Python library implemented in Rust for generating 2D Poisson Disk point sets using the Hierarchical Dart Throwing (HDT) algorithm. Poisson Disk sampling produces points that are tightly packed ...

The Poisson probability distribution is frequently encountered in physical science measurements. In spite of the simplicity and familiarity of this distribution, there is considerable confusion among ...

In this talk, we introduce a sampling-based semi-Lagrangian adaptive rank (SLAR) method, which leverages a cross-approximation strategy - or pseudo-skeleton decomposition - to efficiently represent ...

How Steve, a French cartoon with a catchy theme song, became a TikTok star. By Madison Malone Kircher If you have not yet heard the French song about an orange fish named Steve that is currently ...

‡ Western Ecology Division, National Health and Environmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 2111 SE Marine Science Drive, ...

Differentially Private Stochastic Gradient Descent (DP-SGD) is a key method for training machine learning models like neural networks while ensuring privacy. It modifies the standard gradient descent ...

This study introduces a useful extension to a recently proposed model of neural assembly activity. The extension was to add recurrent connections to the hidden units of the Restricted Boltzmann ...

In this paper we consider a family of sampling designs for which increasing first-order inclusion probabilities imply, in a specific sense, increasing conditional inclusion probabilities. It is proved ...

Abstract: Faced with massive data, subsampling is a commonly used technique to improve computational efficiency, and using nonuniform subsampling probabilities is an effective approach to improve ...

Hello, I am trying to reproduce phase retrieval results with Poisson noise. I have tried different rates for the noise but I never got a decent result, while results for gaussian noise were good. are ...