A Framework for Learning Ante-hoc Explainable Models via Concepts
- Anirban Sarkar
- Deepak Vijaykeerthy
- et al.
- 2022
- CVPR 2022
Deepak Vijaykeerthy
Overview
Title
Research Engineer, Data & AI
Location
IBM Research - India
Bengaluru, India
Bio
I am currently part of IBM Research, India's Data & AI department. My research interests are primarily in Machine Learning, specifically Bayesian Learning, Probabilistic Modelling, and Optimization for Machine Learning. My focus at IBM Research is on incorporating trust into the AI lifecycle.
Previously I was a Research Assistant in the Programming Languages and Tools Group at Microsoft Research, Bangalore, where I worked with Aditya Nori and Sriram Rajamani. During my tenure at MSR India.
Publications
Verifying individual fairness in machine learning models
- Philips George John
- Deepak Vijaykeerthy
- et al.
- 2020
- UAI 2020
An ADMM based framework for AutoML pipeline configuration
- Sijia Liu
- Parikshit Ram
- et al.
- 2020
- AAAI 2020
Hardening Deep Neural Networks via Adversarial Model Cascades
- Deepak Vijaykeerthy
- Anshuman Suri
- et al.
- 2019
- IJCNN 2019
Patents
User Explanation Guided Machine Learning
- 24 Apr 2023
- US
- 11636331
Testing Bias Checkers
- 16 Jan 2023
- US
- 11556747
System For Operationalizing High-level Machine Learning Training Enhancements From Low-level Primitives
- 14 Nov 2022
- US
- 11500671
Storage Layer Selection Based Upon Information Assignment
- 03 Aug 2020
- US
- 10732883
Resiliency Of Machine Learning Models
- 03 Aug 2020
- US
- 10733287
Top collaborators
PR
Parikshit Ram
Research Staff Member