Similar Tracks
Science Use Case 1 - Deep Learning in Astrophysics ǀ Elise Jennings, Argonne National Laboratory
Argonne Meetings, Webinars, and Lectures
Science Use Case 2 -Traffic Forecasting ǀ Mallick and Balaprakash, Argonne National Laboratory
Argonne Meetings, Webinars, and Lectures
Uncertainty of Thermodynamic Data: Humans and Machines I Marius Stan, Argonne
Argonne Meetings, Webinars, and Lectures
Adaptive Linear Solvers and Eigensolvers ǀ Jack Dongarra, UT Knoxville
Argonne Meetings, Webinars, and Lectures
Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial
Andrew Gordon Wilson
Jeremy Oakley: Introduction to Uncertainty Quantification and Gaussian Processes - GPSS 2016
Open Data Science Initiative
Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
Stanford Online
Uncertainty quantification, surrogate building and active learning
MIT Plasma Science and Fusion Center