Deepak Vijaykeerthy

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 13

Top Topics

Machine Learning

Top Venues

Publications

Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
A Framework for Learning Ante-hoc Explainable Models via Concepts. CVPR (2022)
Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian
Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach. CoRR (2021)
Swagatam Haldar, Deepak Vijaykeerthy, Diptikalyan Saha
Automated Testing of AI Models. CoRR (2021)
Sijia Liu, Parikshit Ram, Deepak Vijaykeerthy, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Dakuo Wang, Andrew Conn, Alexander G. Gray
An ADMM Based Framework for AutoML Pipeline Configuration. AAAI (2020)
Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha
Verifying Individual Fairness in Machine Learning Models. UAI (2020)
Philips George John, Deepak Vijaykeerthy, Diptikalyan Saha
Verifying Individual Fairness in Machine Learning Models. CoRR (2020)
Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray
Solving Constrained CASH Problems with ADMM. CoRR (2020)
Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru
Hardening Deep Neural Networks via Adversarial Model Cascades. IJCNN (2019)
Evelyn Duesterwald, Anupama Murthi, Ganesh Venkataraman, Mathieu Sinn, Deepak Vijaykeerthy
Exploring the Hyperparameter Landscape of Adversarial Robustness. CoRR (2019)
Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru
Hardening Deep Neural Networks via Adversarial Model Cascades. CoRR (2018)
Tanmayee Narendra, Anush Sankaran, Deepak Vijaykeerthy, Senthil Mani
Explaining Deep Learning Models using Causal Inference. CoRR (2018)
Atul Kumar, Sameep Mehta, Deepak Vijaykeerthy
An Introduction to Adversarial Machine Learning. BDA (2017)
Aleksandar Chakarov, Aditya V. Nori, Sriram K. Rajamani, Shayak Sen, Deepak Vijaykeerthy
Debugging Machine Learning Tasks. CoRR (2016)
Aditya V. Nori, Sherjil Ozair, Sriram K. Rajamani, Deepak Vijaykeerthy
Efficient synthesis of probabilistic programs. PLDI (2015)