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Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific

Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific

Andrew Jesson
P. Manshausen
A. Douglas
D. Watson‐Parris
Y. Gal
P. Stier
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Papers citing "Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific"

4 / 4 papers shown
Title
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series
Gideon Stein
M. Shadaydeh
Jan Blunk
Niklas Penzel
Joachim Denzler
AI4TS
42
0
0
21 Mar 2025
Using uncertainty-aware machine learning models to study aerosol-cloud interactions
Using uncertainty-aware machine learning models to study aerosol-cloud interactions
Maelys Solal
Andrew Jesson
Y. Gal
A. Douglas
23
0
0
30 Nov 2022
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions
V. T. Trifunov
M. Shadaydeh
Joachim Denzler
CML
BDL
29
3
0
23 Sep 2022
Towards assessing agricultural land suitability with causal machine learning
Towards assessing agricultural land suitability with causal machine learning
Georgios Giannarakis
Vasileios Sitokonstantinou
R. Lorilla
C. Kontoes
CML
28
20
0
27 Apr 2022