5 citations · 5 across the 3 of their papers we have counts for
4 papers
Mechanistic Interpretability of Atmospheric Rivers in GraphCast
Madelyn Mathai, Timothy B. Higgins, Kevin M. Grise +2
While AI weather models now rival operational forecasts, how they represent the atmosphere internally remains an open question: feature attribution reveals which input patterns mat…
A continually expandable foundation model for brain MRI
Michail Mamalakis, Carmen Jimenez-Mesa, Yonghao Li +8
Brain magnetic resonance imaging (MRI) is central to neuroscience and clinical assessment, but models are commonly developed for individual diseases, populations or imaging protoco…
SynopticBench: Evaluating Vision-Language Models on Generating Weather Forecast Discussions of the Future
Timothy B. Higgins, Antonios Mamalakis, Chirag Agarwal
Recent advances in visual-language models (VLMs) have led to significant improvements in a plethora of complex multimodal tasks like image captioning, report generation, and visual…
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks
Michail Mamalakis, Antonios Mamalakis, Ingrid Agartz +4
The accelerated progress of artificial intelligence (AI) has popularized deep learning models across various domains, yet their inherent opacity poses challenges, particularly in c…