Prof. Guang Lin:uncertainty Quantification And Machine Learning

Prof. Guang Lin:Uncertainty Quantification and Machine Learning

Scientific Computing and Artificial Intelligence

IACS Seminar Speaker: Guang Lin

IACS Stony Brook

What is Uncertainty Quantification (UQ)?

Lalitha Venkataramanan: "Uncertainty Quantification in Machine Learning" | IACS Seminar

Harvard Institute for Applied Computational Science

Uncertainty Quantification in Machine Learning: Measuring Confidence in Predictions

Software Engineering Institute | Carnegie Mellon University

Florian Wilhelm: Are you sure about that?! Uncertainty Quantification in AI | PyData Berlin 2019

Illias Bilionis: Uncertainty Quantification Using Embarrassingly Small...

UConn Institute for Advanced Systems Engineering

Why Use Uncertainty Quantification?

Data-driven supervised learning: Neural networks and uncertainty quantification

Centre de recherches mathématiques - CRM

Assumption-free uncertainty quantification for ML

Machine Learning Department at CMU

Introduction to PDE based optimization and uncertainty quantification

Aerodynamic CFD

Uncertainty Quantification in Deep Learning - Bindya Venkatesh

Desert Data Science User Group

Data Science for Uncertainty Quantification

Jef Karel Caers

Towards Bayesian Uncertainty Quantification in Deep Learning Models for Brain Tumor Segmentation

University of Michigan

Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting

Maria Navarro: Quantifying uncertainty in Machine Learning predictions | PyData London 2019

What is Uncertainty Quantification?

Third Wave AI: Interpretable, Robust Trustworthy Machine Learning for Digital Forest and Agriculture

Purdue Agriculture