3 citations · 5 across the 3 of their papers we have counts for
4 papers
Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics
Adeline Hillier, Jennifer Sleeman, Jay Brett +3
This work explores a dynamics-informed Temporal Fusion Transformer (TFT) as a data-driven surrogate for computationally intensive Earth system simulations. Focusing on multivariate…
Neuro-Symbolic Bi-Directional Translation -- Deep Learning Explainability for Climate Tipping Point Research
Chace Ashcraft, Jennifer Sleeman, Caroline Tang +2
In recent years, there has been an increase in using deep learning for climate and weather modeling. Though results have been impressive, explainability and interpretability of dee…
A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN)
Jennifer Sleeman, David Chung, Anand Gnanadesikan +10
We propose a new Tipping Point Generative Adversarial Network (TIP-GAN) for better characterizing potential climate tipping points in Earth system models. We describe an adversaria…
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points
Jennifer Sleeman, David Chung, Chace Ashcraft +10
We propose a hybrid Artificial Intelligence (AI) climate modeling approach that enables climate modelers in scientific discovery using a climate-targeted simulation methodology bas…