Communications of the ACMOpinion

Rolling in the Deep of Cognitive and AI Biases

To address AI bias at its roots, we must understand the human heuristics that shape it. Unlike prior frameworks that focus ...
IEEE

Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent

Abstract: A crucial task in predictive maintenance is estimating the remaining useful life of physical systems. In the last decade, deep learning has improved considerably upon traditional model-based ...
GitHub

Uncertainty-aware Bayesian neural network with SHAP interpretability.qmd

- Complex assembly systems such as diesel engines, CNC machine tools, and aircraft assembly are dynamic, multimodal, and data-imperfect environments. - Small upstream deviations accumulate across ...
GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
Scientific Research Publishing

Wang, Y., Polson, N. and Sokolov, V.O. (2023) Data Augmentation for Bayesian Deep Learning. arXiv: 1903.09668.

ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...
The New York Times

$40 Million Yacht That Mysteriously Sank Is Raised From Bottom of Sea

Investigators are hoping to find clues as to why the Bayesian superyacht sank off the coast of Sicily 10 months ago, killing seven people. By Emma Bubola and Jeffrey Gettleman The hull of the Bayesian ...
Frontiers

A Bayesian generative model for learning semantic hierarchies

Building fine-grained visual recognition systems that are capable of recognizing tens of thousands of categories, has received much attention in recent years. The well known semantic hierarchical ...