output
20132025
most citedPhysically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability

324 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing physics.geo-phShow all

2 papers · 1 filter

physics.geo-ph2022★ 87 cited

Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience

Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff

Convolutional neural networks (CNNs) have recently attracted great attention in geoscience due to their ability to capture non-linear system behavior and extract predictive spatiot…

physics.geo-ph2021★ 105 cited

Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset

Antonios Mamalakis, Imme Ebert-Uphoff, Elizabeth A. Barnes

Despite the increasingly successful application of neural networks to many problems in the geosciences, their complex and nonlinear structure makes the interpretation of their pred…