Deep learning

Najmeddine Dhieb

Research Engineer, Electrical and Computer Engineering

artificial intelligence Deep learning Generative AI and LLMs

Aznaur Aliev

M.S. Student

AI Deep learning Computer Vision Reinforcement Learning

New paper accepted in The American Statistician

1 min read · Mon, Jul 31 2023

Bayes estimators Deep learning likelihood-free inference optimal inference spatial statistics

New paper accepted: Sainsbury-Dale, M., Zammit-Mangion, A., and Huser, R. (2023+), Likelihood-free parameter estimation with neural Bayes estimators, The American Statistician, to appear [ PDF preprint].

Matthew Sainsbury-Dale

Consultant, Statistics

spatio-temporal statistics Statistics of extremes machine learning Deep learning

Matthew Sainsbury-Dale is a PhD student at the University of Wollongong (UOW), and has already submitted his PhD. In 2022, Matthew spent 5 months visiting the Extreme Statistics Research Group at KAUST. Furthermore, from March to August 2023, he worked for KAUST in the extSTAT research group as a remote consultant. Since January 2024, while waiting for feedback from his PhD committee (and before relocating as a postdoc at KAUST), he is again working in the extSTAT group as a remote consultant. Education and Early Career Matthew Sainsbury-Dale obtained a Bachelor of Mathematics Advanced