Authors

Chirag Agarwal

Publications 2

Preprint Open access

Mechanistic Interpretability of Atmospheric Rivers in GraphCast

Madelyn Mathai, Timothy B. Higgins, Kevin M. Grise et al. · 2026

While AI weather models now rival operational forecasts, how they represent the atmosphere internally remains an open question: feature attribution reveals which input patterns matter, not what the model computes or how it combines information internally. We train sparse autoencoders (SAEs) on GraphCast to uncover its …

Preprint Open access

MEA: A Reward-Driven Multi-Agent System for Faithful Model Explanations

Yuyang Cheng, Raghav Kaushik Ravi, Srivarshinee Sridhar et al. · 2026

Recent years have seen the employment of a plethora of machine learning (ML) models in high-stakes domains, but they remain largely opaque to the practitioners who act on their predictions. While post-hoc explanation methods offer a lens into this model behavior, wielding them effectively demands expertise most domain …

Co-authors