Physical Consistency And Uncertainty Quantification In Machine Learning

Main Takeaway: This is a quick video brief on a new paper published by Ni Zhan and myself on Neural networks are infamous for making wrong predictions with high confidence.

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This is a quick video brief on a new paper published by Ni Zhan and myself on A talk by Honglin Wen, hosted by Leeds Institute for Data Analytics' (LIDA) Scientific Gaussian process regression (GPR) is a probabilistic approach to making predictions.

Topic Summary

Gaussian process regression (GPR) is a probabilistic approach to making predictions. Neural networks are infamous for making wrong predictions with high confidence.

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Important details found

This is a quick video brief on a new paper published by Ni Zhan and myself on
A talk by Honglin Wen, hosted by Leeds Institute for Data Analytics' (LIDA) Scientific
Gaussian process regression (GPR) is a probabilistic approach to making predictions.
Presented by Lalitha Venkataramanan, Scientific Advisor at Schlumberger.

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