Kannan, Arjun Ravi

3 publications

TMLR 2026 MS-IMAP - A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning Shay Deutsch, Lionel Yelibi, Alex Tong Lin, Arjun Ravi Kannan

MLJ 2025 MbExplainer: Multilevel Bandit-Based Explanations for Downstream Models with Augmented Graph Embeddings Ashkan Golgoon, Ryan Franks, Khashayar Filom, Arjun Ravi Kannan

MLJ 2022 Wasserstein-Based Fairness Interpretability Framework for Machine Learning Models Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks, Arjun Ravi Kannan