Author

Subashree Venkatasubramanian

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#artificial intelligence Preprint Sep 2026

Understanding Perturbed Parameter Ensemble Sensitivities Using A Contrastive Learning Approach

An explainable contrastive learning model that maps 5 monthly cloud and radiation fields into a shared representation space and demonstrates that explainable representations of climate fields can attribute model differences to specific variables, regions, seasons, and physical parameters.

Da Fan, D. J. Gagne, G. Elsaesser et al. · 0 citations

#machine learning Preprint Sep 2026

TWIG: A Time-Causal Wavelet Operator for Autoregressive Forecasting on Irregular Graphs

We introduce TWIG (Time-Causal Wavelet Operator for Irregular Graphs), a graph-native neural operator for autoregressive surrogate modeling on static irregular graphs. TWIG transforms each node history into causal multiscale temporal features that separate recent variation from progressively slower memory components, t...

Subashree Venkatasubramanian, D. Barajas-Solano, Chu-Yang Liu et al. · 0 citations