Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- 2023
- NeurIPS 2023
Bio
I am part of IBM Research AI group at IRL.
I finished my doctoral studies in Computer Science from Planete Group, INRIA Sophia Antipolis, France in 2005. I was with National ICT Australia (NICTA, now part of CSIRO), Melbourne, Australia until 2009 before joining IBM Research in 2010.
Publications
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- Giridhar Ganapavarapu
- Sumanta Mukherjee
- et al.
- 2023
- KDD 2023
Global Explanations for Multivariate time series models
- Vijay Arya
- Diptikalyan Saha
- et al.
- 2023
- CODS-COMAD 2023
AI Explainability 360: Impact and Design
- 2022
- IAAI 2022
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- 2021
- INFORMS 2021
Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models
- Qing Wang
- Larisa Shwartz
- et al.
- 2021
- CLOUD 2021
Ai explainability 360: An extensible toolkit for understanding data and machine learning models
- Vijay Arya
- Rachel Bellamy
- et al.
- 2020
- JMLR
Blockchain Enabled Trustless API Marketplace
- Vijay Arya
- Sayandeep Sen
- et al.
- 2020
- COMSNETS 2020
Evaluation of Causal Inference Techniques for AIOps
- Vijay Arya
- Karthikeyan Shanmugam
- et al.
- 2021
- CODS-COMAD 2021
AI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
Patents
Top collaborators
AD
Amit Dhurandhar
Principal Research Staff Member
JR
John Richards
Distinguished Research Scientist
PC
Pin-Yu Chen
Principal Research Scientist; Chief Scientist, RPI-IBM AI Research Collaboration
SH
Samuel Hoffman
Research Software Engineer