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I. Ebert‐Uphoff

6 papers hereh-index 374.8k citations115 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • physics.ao-ph3
  • cs.LG2
  • stat.ME1

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedIndicator patterns of forced change learned by an artificial neural network

71 citations · 75 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2017

Machine Learning for the Geosciences: Challenges and Opportunities

Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela +2

Geosciences is a field of great societal relevance that requires solutions to several urgent problems facing our humanity and the planet. As geosciences enters the era of big data,…

cs.LG2017

High-Dimensional Dependency Structure Learning for Physical Processes

Jamal Golmohammadi, Imme Ebert-Uphoff, Sijie He +2

In this paper, we consider the use of structure learning methods for probabilistic graphical models to identify statistical dependencies in high-dimensional physical processes. Suc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.