How To Speed Up the Search for Cures Through a Change in Probability Theory

"Providing clarity around modern statistical methods will help sponsors bring more cures and meaningful treatments to ...
IEEE

Distributed Graph Learning From Smooth Data: A Bayesian Framework

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
IEEE

Bayesian Graph Wavelet Convolution Transformer-Based Transfer Learning for Fault Diagnosis of UAV Swarm System Under Variable Operating Conditions

Abstract: Uncrewed aerial vehicle (UAV) swarm system flies under variable operating conditions. Nevertheless, due to high costs or limited operational time, it is impractical to collect large amounts ...
GitHub

Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture

This repository contains the official implementation of the CVPR 2024 paper "Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture". Safety and robustness are crucial factors ...