3 papers
cs.LG2026
Generating Intervention Hypotheses using Explainable Explanations on Graphs: G2I, a Two-Stage Greedy Framework
Mulin Tian, Ajitesh Srivastava
Real-world decision-making in public health and social science can greatly benefit from predictive models, yet translating predictions into effective interventions requires explain…
cs.LG2025
TrendGNN: Towards Understanding of Epidemics, Beliefs, and Behaviors
Mulin Tian, Ajitesh Srivastava
Epidemic outcomes have a complex interplay with human behavior and beliefs. Most of the forecasting literature has focused on the task of predicting epidemic signals using simple m…
cs.CV2025
Task-Agnostic Federated Learning
Zhengtao Yao, Hong Nguyen, Ajitesh Srivastava +1
In the realm of medical imaging, leveraging large-scale datasets from various institutions is crucial for developing precise deep learning models, yet privacy concerns frequently i…