Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant LearningAmit DhurandharKarthikeyan Natesan Ramamurthyet al.2023NeurIPS 2023
AI Explainability 360 Toolkit for Time-Series and Industrial Use CasesGiridhar GanapavarapuSumanta Mukherjeeet al.2023KDD 2023
Global Explanations for Multivariate time series modelsVijay AryaDiptikalyan Sahaet al.2023CODS-COMAD 2023
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability TechniquesVijay AryaRachel K. Bellamyet al.2021INFORMS 2021
Detecting Causal Structure on Cloud Application Microservices Using Granger Causality ModelsQing WangLarisa Shwartzet al.2021CLOUD 2021
Ai explainability 360: An extensible toolkit for understanding data and machine learning modelsVijay AryaRachel Bellamyet al.2020JMLR
Evaluation of Causal Inference Techniques for AIOpsVijay AryaKarthikeyan Shanmugamet al.2021CODS-COMAD 2021