3 citations · 5 across the 8 of their papers we have counts for
3 papers · 1 filter
From objective discovery to prediction of global ocean eco-provinces: A pathway for trustworthy learning
Makayla McDevitt, Maike Sonnewald, Stephanie Dutkiewicz
Marine ecosystems are increasingly impacted by climate change, necessitating tools to identify and predict spatial habitat information. To build such tools, ecological marine provi…
Sparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamics
Katherine Rosenfeld, Maike Sonnewald
Generative AI emulators are increasingly used in scientific domains where we already have strong theory, benchmarks, and physical intuition. This raises a central evaluation and in…
OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting
Sanah Suri, Kieran Ringel, Maike Sonnewald
Extreme ocean phenomena are challenging not only to predict but to diagnose, as accurate forecasts alone do not reveal the underlying physical drivers. While recent machine learnin…