Deepak Vijaykeerthy

According to our database, Deepak Vijaykeerthy authored at least 14 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Root-Cause Diagnosis with Remediation Recommendations for ETL Pipelines via LLM-Based Reasoning.

Deepak Vijaykeerthy, Rajmohan C, Arvind Agarwal, Avirup Saha, Sameep Mehta, Emmanuel Adhoute, Nadav Vahav, Timur Porokhnia, Adrian Dabrowski, Bat El Aharon Asher, Aviya Goldfarb

Proceedings of the Companion of the International Conference on Management of Data, 2026

2024

On Evaluation of Vision Datasets and Models using Human Competency Frameworks.

Rahul Ramachandran, Tejal Kulkarni, Charchit Sharma, Deepak Vijaykeerthy, Vineeth N. Balasubramanian

CoRR, 2024

2022

A Framework for Learning Ante-hoc Explainable Models via Concepts.

Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Automated Testing of AI Models.

Swagatam Haldar, Deepak Vijaykeerthy, Diptikalyan Saha

CoRR, 2021

Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach.

Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian

CoRR, 2021

2020

Solving Constrained CASH Problems with ADMM.

Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray

CoRR, 2020

Verifying Individual Fairness in Machine Learning Models.

Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

An ADMM Based Framework for AutoML Pipeline Configuration.

Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Exploring the Hyperparameter Landscape of Adversarial Robustness.

Evelyn Duesterwald, Anupama Murthi, Ganesh Venkataraman, Mathieu Sinn, Deepak Vijaykeerthy

CoRR, 2019

Hardening Deep Neural Networks via Adversarial Model Cascades.

Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Explaining Deep Learning Models using Causal Inference.

Tanmayee Narendra, Anush Sankaran, Deepak Vijaykeerthy, Senthil Mani

CoRR, 2018

2017

An Introduction to Adversarial Machine Learning.

Atul Kumar, Sameep Mehta, Deepak Vijaykeerthy

Proceedings of the Big Data Analytics - 5th International Conference, 2017

2016

Debugging Machine Learning Tasks.

Aleksandar Chakarov, Aditya V. Nori, Sriram K. Rajamani, Shayak Sen, Deepak Vijaykeerthy

CoRR, 2016

2015

Efficient synthesis of probabilistic programs.

Aditya V. Nori, Sherjil Ozair, Sriram K. Rajamani, Deepak Vijaykeerthy

Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2015