Boosting the AI research efficiency

Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms

Code for Interpretable Adversarial Perturbation in Input Embedding Space for Text, IJCAI 2018.

This code repository is associated with the paper "A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography." Nature Machine Intelligence, 2021. https://www.nature.com/articles/s42256-021-00423-x

This repo contains code for Invariant Grounding for Video Question Answering

Summarization of static graphs using the Minimum Description Length principle

graph neural networks, information theory, AI for Sciences

Interpretable YOLOv5

Maximal Linkability metric to evaluate the linkability of (protected) biometric templates. Paper: "Measuring Linkability of Protected Biometric Templates using Maximal Leakage", IEEE-TIFS, 2023.