Publications — Deepak Vijaykeerthy

2026

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

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

ACM SIGMOD 2026 (Demo)
DataBench: A Benchmark Dataset to Evaluate Agents for Data Pipeline Remediation Under Review

Ritwik Chaudhuri, Deepak Vijaykeerthy, Avirup Saha, Arvind Agarwal, Kushal Mukherjee, Sameep Mehta

Under review at KDD 2026 (Datasets and Benchmarks Track)
From Cells to Sentences: An End-to-End Framework for Table Understanding AISTATS

Deepak Vijaykeerthy, Arvind Agarwal

AISTATS 2026 (Poster)

2024

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

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

DMLR Workshop, ICML 2024

2022

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

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

CVPR 2022

2021

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

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

arXiv:2108.11761
Automated Testing of AI Models Preprint

Swagatam Haldar, Deepak Vijaykeerthy, Diptikalyan Saha

arXiv:2110.03320

2020

An ADMM Based Framework for AutoML Pipeline Configuration AAAI

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

AAAI 2020
Verifying Individual Fairness in Machine Learning Models UAI

Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha

UAI 2020
Solving Constrained CASH Problems with ADMM Preprint

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

arXiv:2006.09635

2019

Hardening Deep Neural Networks via Adversarial Model Cascades IJCNN

Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru

IJCNN 2019
Exploring the Hyperparameter Landscape of Adversarial Robustness Preprint

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

arXiv:1905.03837

2018

Explaining Deep Learning Models using Causal Inference Preprint

Tanmayee Narendra, Anush Sankaran, Deepak Vijaykeerthy, Senthil Mani

arXiv:1811.04376

2017

An Introduction to Adversarial Machine Learning BDA

Atul Kumar, Sameep Mehta, Deepak Vijaykeerthy

BDA 2017

2016

Debugging Machine Learning Tasks Preprint

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

arXiv:1603.07292

2015

Efficient Synthesis of Probabilistic Programs PLDI

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

PLDI 2015