TranSCoT: Towards Improving Quality of Code Translations
- Lalit Meena
- Shashank Govindappa
- et al.
- 2025
- CODS 2025
Conference paper
Publications
58 results for Vijay Arya
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- 2023
- NeurIPS 2023
Conference paperAI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- Giridhar Ganapavarapu
- Sumanta Mukherjee
- et al.
- 2023
- KDD 2023
TutorialGlobal Explanations for Multivariate time series models
- Vijay Arya
- Diptikalyan Saha
- et al.
- 2023
- CODS-COMAD 2023
Conference paperAI Explainability 360: Impact and Design
- Vijay Arya
- Rachel K. E. Bellamy
- et al.
- 2022
- IAAI 2022
Conference paperOne Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- Vijay Arya
- Rachel K. Bellamy
- et al.
- 2021
- INFORMS 2021
TalkDetecting Causal Structure on Cloud Application Microservices Using Granger Causality Models
- Qing Wang
- Larisa Shwartz
- et al.
- 2021
- CLOUD 2021
Conference paperAi explainability 360: An extensible toolkit for understanding data and machine learning models
- Vijay Arya
- Rachel Bellamy
- et al.
- 2020
- JMLR
PaperBlockchain Enabled Trustless API Marketplace
- Vijay Arya
- Sayandeep Sen
- et al.
- 2020
- COMSNETS 2020
Conference paperEvaluation of Causal Inference Techniques for AIOps
- Vijay Arya
- Karthikeyan Shanmugam
- et al.
- 2021
- CODS-COMAD 2021
Conference paper