2 papers
cs.AI2026
EveryQuery: A Promptable Foundation Model for Clinical Prediction Tasks over Electronic Health Records
Payal Chandak, Gregory Kondas, Liat Antwarg Friedman +2
Autoregressive foundation models for electronic health records can make predictions for diverse clinical tasks without finetuning. These methods work by generating possible "synthe…
cs.CV2024
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
Sarah Jabbour, Gregory Kondas, Ella Kazerooni +3
We propose a permutation-based explanation method for image classifiers. Current image-model explanations like activation maps are limited to instance-based explanations in the pix…