IEEE

Improving the Accuracy of the Adaptive Cross Approximation With a Convergence Criterion Based on Random Sampling

Abstract: The accuracy of the adaptive cross approximation (ACA) algorithm, a popular method for the compression of low-rank matrix blocks in method of moment computations, is sometimes seriously ...
GitHub

TensorFlow Probability

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...
IEEE

Two-Phase Adaptive Kriging Model Based Importance Sampling Method for Estimating Time-Dependent Failure Probability

Abstract: To improve the computational efficiency of the time-dependent failure probability (TDFP) to system with dynamic loads, materials degeneration and other time-varying factors, a two-phase ...
PNAS

RIM-binding protein 2 regulates release probability by fine-tuning calcium channel localization at murine hippocampal synapses

Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved August 15, 2016 (received for review March 31, 2016) ...