Deepak Vijaykeerthy  Deepak Vijaykeerthy photo         

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Research Engineer, Data & AI
India Research Laboratory, Bangalore, India
  

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2020

Solving Constrained CASH Problems with ADMM
Parikshit Ram, Sijia Liu, Deepak Vijaykeerthy, Dakuo Wang, Djallel Bouneffouf, Gregory Bramble, Horst Samulowitz, Alexander G. Gray
CoRRabs/2006.09635, 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, UAI 2020, virtual online, August 3-6, 2020, pp. 327, AUAI Press

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
The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advan, pp. 4892--4899, AAAI Press


2019

Exploring the Hyperparameter Landscape of Adversarial Robustness
Evelyn Duesterwald, Anupama Murthi, Ganesh Venkataraman, Mathieu Sinn, Deepak Vijaykeerthy
CoRRabs/1905.03837, 2019

Hardening Deep Neural Networks via Adversarial Model Cascades
Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru
International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pp. 1--8, IEEE


2018

Explaining Deep Learning Models using Causal Inference
Tanmayee Narendra, Anush Sankaran, Deepak Vijaykeerthy, Senthil Mani
CoRRabs/1811.04376, 2018

Hardening Deep Neural Networks via Adversarial Model Cascades
Deepak Vijaykeerthy, Anshuman Suri, Sameep Mehta, Ponnurangam Kumaraguru
CoRRabs/1802.01448, 2018


2017

An Introduction to Adversarial Machine Learning
Atul Kumar, Sameep Mehta, Deepak Vijaykeerthy
Big Data Analytics - 5th International Conference, BDA 2017, Hyderabad, India, December 12-15, 2017, Proceedings, pp. 293--299


2016

Debugging Machine Learning Tasks
Aleksandar Chakarov, Aditya V. Nori, Sriram K. Rajamani, Shayak Sen, Deepak Vijaykeerthy
CoRRabs/1603.07292, 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, Portland, OR, USA, June 15-17, 2015, pp. 208--217