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Machine Learning and Artificial Intelligence to Advance Earth System Science Opportunities and Challenges: Proceedings of a Workshop (2022) / Chapter Skim
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References
Pages 43-48

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 43...
... 2021a. "Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems." Physical Review Letters 126:098302.
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From page 44...
... 2021. "Predicting Slowdowns in Decadal Climate Warming Trends with Explainable Neural Networks." Earth and Space Science Open Archive preprint.
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From page 45...
... 2022. "Why We Need to Focus on Developing Ethical, Responsible, and Trustworthy Artificial Intelligence Approaches for Environmental Science." Environmental Data Science 1:E6.
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From page 46...
... 2021. "Integrating Recurrent Neural Networks with Data Assimilation for Scalable Data-Driven State Estimation." https://doi.org/10.48550/arXiv.2109.12269.
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From page 47...
... 2020. "Automated Seismic Source Characterization Using Deep Graph Neural Networks." Geophysical Research Letters 47:e2020GL088690.
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From page 48...
... 2020. "The Promise of Implementing Machine Learning in Earthquake Engineering: A State-of-the-Art Review." Earthquake Spectra 36(4)
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Key Terms

  • neural networks
  • artificial intelligence
  • geophysical research
  • research letters
  • deep learning

  • nature communications
  • data assimilation
  • neural network
  • explainable neural
  • tackling climate

  • using deep
  • space science
  • solid earth
  • graph neural
  • deepest learning

  • neural weather
  • box machine
  • learning predicts
  • interpretable neural
  • bayesian learning

  • learning seismic
  • convolutional neural
  • learning applications
  • recurrent neural
  • novel synthetic

  • attribution methods
  • dynamic data
  • generalized synchronization
  • learning evaluation
  • emulating physical


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