3 papers
cs.LG2025
Advancing climate model interpretability: Feature attribution for Arctic melt anomalies
Tolulope Ale, Nicole-Jeanne Schlegel, Vandana P. Janeja
The focus of our work is improving the interpretability of anomalies in climate models and advancing our understanding of Arctic melt dynamics. The Arctic and Antarctic ice sheets…
cs.LG2024
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold
Tolulope Ale, Nicole-Jeanne Schlegel, Vandana P. Janeja
We introduce an anomaly detection method for multivariate time series data with the aim of identifying critical periods and features influencing extreme climate events like snowmel…
cs.AI2023
Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference
Sahara Ali, Omar Faruque, Yiyi Huang +4
The warming of the Arctic, also known as Arctic amplification, is led by several atmospheric and oceanic drivers. However, the details of its underlying thermodynamic causes are st…