Vincent Fortuin

An overview of Bayesian neural networks and their importance in AI.

Combining contrastive learning with simplicial complexes improves data representation and analysis.

This article discusses the key issues in the growth of generative AI.

A new method improves uncertainty estimation in machine learning applications.

A method to optimize patient data collection for better health outcomes.

Exploring parameter-efficient fine-tuning for depth estimation accuracy and uncertainty.

OneProt combines various data types to enhance protein research efficiency.