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 ...
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 ...
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 ...
Conducting a poll isn’t an exact science. The process is susceptible to lots of common problems and baked-in biases — more than just the “margin of error.” By ...
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 ...
Abstract: Accelerated MRI protocols routinely involve a predefined sampling pattern that undersamples the k-space. Finding an optimal pattern can enhance the reconstruction quality, however this ...
Abstract: Diffusion and Poisson flow models have shown impressive performance in a wide range of generative tasks, including low-dose CT (LDCT) image denoising. However, one limitation in general, and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results