Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

Code for Surgical Skill Assessment via Video Semantic Aggregation (MICCAI 2022)

Comprehensible Convolutional Neural Networks via Guided Concept Learning

An interpretable system that models the future of work as an equilibrium under AI-driven forces. Instead of predicting job loss, it decomposes workforce disruption into automation pressure, adaptability, skill transferability, demand, and AI augmentation to explain stability, tension, and transition paths by 2030.