Exploring Prof Guang Lin Uncertainty Quantification And Machine Learning
Exploring Prof Guang Lin Uncertainty Quantification And Machine Learning reveals several interesting facts.
- Presented by Lalitha Venkataramanan, Scientific Advisor at Schlumberger. Abstract:
- Authors: Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng and Guangquan Zhang More on ...
- Measuring Doubt in Systems That Have None:
- A brief overview of
- Title:
In-Depth Information on Prof Guang Lin Uncertainty Quantification And Machine Learning
... okay so today he's been our talk about of the 2025 ML Academy & Artiste Distinguished Lecture. Presented at the Argonne Training Program on Extreme-Scale Computing 2019. Slides for this presentation are available here: ... October 31, 2019
Recorded 16 July 2025.
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