GitHub

Generalized Gamma Convolution Power Problem

For a quick orientation, read ResearchStatus, then BigPicture. For a proof audit, start with the assembly and completion audit, following their lemma and source dependencies. The earlier ...
PNAS

Bridging the gap between models based on ordinary, delayed, and fractional differentials equations through integral kernels

This study centers on incorporating memory effects (the impact of past events on current states) into mathematical models for population dynamics. It introduces a framework based on the gamma ...
PNAS

Homophily modulates double descent generalization in graph convolution networks

Graph neural networks (GNNs) have been applied with great success across science and engineering, but we do not understand why they work so well. Motivated by experimental evidence of a rich phase ...
IEEE

Fast 3-D Magnetic Anomaly Forward Modeling Based on Integral Equation

Abstract: Efficient and accurate 3-D numerical modeling of the total field magnetic anomaly is a key problem that restricts the 3-D fast inversion imaging and geological interpretation of large-scale ...
ahajournals.org

Convolution Neural Network Algorithm for Shockable Arrhythmia Classification Within a Digitally Connected Automated External Defibrillator

Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...
GitHub

Compute Library for Deep Neural Networks (clDNN)

This project will no longer be maintained by Intel. Intel has ceased development and contributions including, but not limited to, maintenance, bug fixes, new releases, or updates, to this project.