GitHub

Bayesian Diffusion Models for 3D Shape Reconstruction

We present Bayesian Diffusion Models (BDM), a prediction algorithm that performs effective Bayesian inference by tightly coupling the top-down (prior) information with the bottom-up (data-driven) ...
IEEE

Bayesian Fault Detection, Identification, and Adaptation for GNSS Applications

Abstract: This contribution introduces a Bayesian framework of fault detection, identification, and adaptation (Bayesian DIA) methods for global navigation satellite system (GNSS) applications. It ...
Medscape

FDA Changes Drug Trial Guidance: Experts Take Sides

The FDA has opened the door to the use of Bayesian statistical methods in clinical trials. The worry: Introducing ...
IEEE

BOAMLS: Bayesian Optimization with Attention Mechanism for FPGA Logic Synthesis (PhD Forum Paper)

Abstract: The continuous scaling of integrated circuits causes excessive growth in both area and delay, underscoring the critical need for logic synthesis to reduce redundancies. Nevertheless, ...