Vijay Arya

Publications

• Refining LLM-based COBOL-to-Java Translation via Natural Language Summary Augmentation

  • • Aman Bhardwaj
    • Vijay Arya
    • et al.
  • 2026
  • SANER 2026

  Conference paper

• TranSCoT: Towards Improving Quality of Code Translations

  • • Lalit Meena
    • Shashank Govindappa
    • et al.
  • 2025
  • CODS 2025

  Conference paper

• Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning

  • • Amit Dhurandhar
    • Karthikeyan Natesan Ramamurthy
    • et al.
  • 2023
  • NeurIPS 2023

  Conference paper

• AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases

  • • Giridhar Ganapavarapu
    • Sumanta Mukherjee
    • et al.
  • 2023
  • KDD 2023

  Tutorial

• Global Explanations for Multivariate time series models

  • • Vijay Arya
    • Diptikalyan Saha
    • et al.
  • 2023
  • CODS-COMAD 2023

  Conference paper

• AI Explainability 360: Impact and Design

  • • Vijay Arya
    • Rachel K. E. Bellamy
    • et al.
  • 2022
  • IAAI 2022

  Conference paper

• One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques

  • • Vijay Arya
    • Rachel K. Bellamy
    • et al.
  • 2021
  • INFORMS 2021

  Talk

• Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models

  • • Qing Wang
    • Larisa Shwartz
    • et al.
  • 2021
  • CLOUD 2021

  Conference paper

• Ai explainability 360: An extensible toolkit for understanding data and machine learning models

  • • Vijay Arya
    • Rachel Bellamy
    • et al.
  • 2020
  • JMLR

  Paper

• Blockchain Enabled Trustless API Marketplace

  • • Vijay Arya
    • Sayandeep Sen
    • et al.
  • 2020
  • COMSNETS 2020

  Conference paper