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researcher

Stephan Hoyer

3 papers hereh-index 93.7k citations15 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.ao-ph2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

works on
ai weather models 1el niño response 1model intercomparison 1out-of-sample evaluation 1reanalysis training 1

From the 1 of 3 linked papers with an AI index.

activity
20242026
most citedAIMIP Phase 1: systematic evaluations of AI weather and climate models

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

physics.ao-ph2026★ 1 cited

AIMIP Phase 1: systematic evaluations of AI weather and climate models

Brian Henn, Christopher S. Bretherton, Nikolay Koldunov +18

The paper introduces AIMIP Phase 1, an intercomparison framework for AI‑based weather and climate models that evaluates their ability to simulate historical atmospheric conditions…

cs.LG2025

Accelerating scientific discovery with the common task framework

J. Nathan Kutz, Peter Battaglia, Michael Brenner +12

Machine learning (ML) and artificial intelligence (AI) algorithms are transforming and empowering the characterization and control of dynamic systems in the engineering, physical,…

physics.ao-ph2024

Neural general circulation models optimized to predict satellite-based precipitation observations

Janni Yuval, Ian Langmore, Dmitrii Kochkov +1

Climate models struggle to accurately simulate precipitation, particularly extremes and the diurnal cycle. Here, we present a hybrid model that is trained directly on satellite-bas…

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