Vijay Arya

Researcher, IBM Research

Joined

July 2019

Names

Vijay Arya

Emails

****@in.ibm.com (Confirmed)

Personal Links

Career & Education History

Researcher

IBM Research (ibm.com)

2010 – Present

Researcher

NICTA (nicta.com.au)

2006 – 2009

PhD student

INRIA (inria.fr)

2001 – 2005

Advisors, Relations & Conflicts

No relations added

Expertise

AI Explainability

,

interpretability

Present

Publications

Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya
- NeurIPS 2023 poster
- Readers: Everyone
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
Giridhar Ganapavarapu, Sumanta Mukherjee, Natalia Martinez Gil, Kanthi K. Sarpatwar, Amaresh Rajasekharan, Amit Dhurandhar, Vijay Arya, Roman Vaculín
- KDD 2023
- Readers: Everyone
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya
- NeurIPS 2023
- Readers: Everyone
Global Explanations for Multivariate time series models
Vijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan, Tony Tang
- 2023 (modified: 16 Apr 2023)
- COMAD/CODS 2023
- Readers: Everyone
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
AI Explainability 360: Impact and Design
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
- 2022 (modified: 05 Oct 2022)
- AAAI 2022
- Readers: Everyone
Locally Invariant Explanations: Towards Causal Explanations through Local Invariant Learning
Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models
Qing Wang, Larisa Shwartz, Genady Ya. Grabarnik, Vijay Arya, Karthikeyan Shanmugam
- CLOUD 2021
- Readers: Everyone
AI Explainability 360: Impact and Design
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
- 2021 (modified: 24 Feb 2022)
- CoRR 2021
- Readers: Everyone
AI Explainability 360 Toolkit
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
- 2021 (modified: 05 Oct 2022)
- COMAD/CODS 2021
- Readers: Everyone

View all 23 publications

Co-Authors

View all 59 co-authors