4 papers
Data Attribution via Sketched Metadifferentiation
Yuxi Chen, Hamza Golubovic, Han Tong +2
Data attribution seeks to quantify how individual training examples shape a model's predictions and underpins problems including data valuation, machine unlearning, and model inter…
Imperfect Influence, Preserved Rankings: A Theory of TRAK for Data Attribution
Han Tong, Shubhangi Ghosh, Haolin Zou +1
Data attribution, tracing a model's prediction back to specific training data, is an important tool for interpreting sophisticated AI models. The widely used TRAK algorithm address…
A Weakly Supervised Transformer for Rare Disease Diagnosis and Subphenotyping from EHRs with Pulmonary Case Studies
Kimberly F. Greco, Zongxin Yang, Mengyan Li +6
Rare diseases affect an estimated 300-400 million people worldwide, yet individual conditions remain underdiagnosed and poorly characterized due to their low prevalence and limited…
Representation learning to advance multi-institutional studies with electronic health record data from US and France
Doudou Zhou, Han Tong, Linshanshan Wang +21
The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data acro…