activity
20242026
most citedGeneral Geospatial Inference with a Population Dynamics Foundation Model

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

cs.LG20263 cited

General Geospatial Inference with a Population Dynamics Foundation Model

Mohit Agarwal, Mimi Sun, Chaitanya Kamath +31

Supporting the health and well-being of dynamic populations around the world requires governmental agencies, organizations and researchers to understand and reason over complex rel…

cs.LG2025

Evaluating AI systems under uncertain ground truth: a case study in dermatology

David Stutz, Ali Taylan Cemgil, Abhijit Guha Roy +17

For safety, medical AI systems undergo thorough evaluations before deployment, validating their predictions against a ground truth which is assumed to be fixed and certain. However…

eess.IV2024

Using generative AI to investigate medical imagery models and datasets

Oran Lang, Doron Yaya-Stupp, Ilana Traynis +13

AI models have shown promise in many medical imaging tasks. However, our ability to explain what signals these models have learned is severely lacking. Explanations are needed in o…

cs.CV2024

PathAlign: A vision-language model for whole slide images in histopathology

Faruk Ahmed, Andrew Sellergren, Lin Yang +14

Microscopic interpretation of histopathology images underlies many important diagnostic and treatment decisions. While advances in vision-language modeling raise new opportunities…

cs.AI2024

Towards a Personal Health Large Language Model

Justin Cosentino, Anastasiya Belyaeva, Xin Liu +31

In health, most large language model (LLM) research has focused on clinical tasks. However, mobile and wearable devices, which are rarely integrated into such tasks, provide rich,…