Publications

Pre-prints and published papers:

1. B. Puranik, A. Beirami, Y. Qin, U. Madhow, "Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective", under review, arxiv https://arxiv.org/abs/2311.01047.

2. B. Puranik, O. Guldogan, U. Madhow, R. Pedarsani, "Long-term Fairness in Sequential Multi-agent Selection with Positive Reinforcement", under review, special issue on Information-Theoretic Methods for Trustworthy and Reliable ML, IEEE JSAIT, 2023.

3. B. Puranik, A. Beirami, Y. Qin, U. Madhow, "Robust Deep Learning via Layerwise Tilted Exponentials", 2nd AdvML Frontiers workshop at the 40th International Conference on Machine Learning (ICML), PMLR 202, 2023.

4. B. Puranik, U. Madhow, R. Pedarsani, "Generalized Likelihood Ratio Test for Adversarially Robust Hypothesis Testing", IEEE Transactions on Signal Processing. 

5. B. Puranik, U. Madhow, R. Pedarsani, "A Dynamic Decision-Making Framework Promoting Long-Term Fairness", AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES), Oxford, 2022.

6. B. Puranik, U. Madhow, R. Pedarsani, "Dynamic Positive Reinforcement for Long-Term Fairness", International Conference on Machine Learning (ICML) 2022 Workshop on Responsible Decision-Making in Dynamic Environments, and also at the International Conference on Learning Representations (ICLR) 2022 Workshop on Socially Responsible Machine Learning.

7. M. Rasekh, B. Puranik, U. Madhow, M. Rodwell, "In-the-field calibration of all-digital MIMO arrays",  IEEE WCNC 2022.

8. B. Puranik, U. Madhow, R. Pedarsani, "Adversarially robust classification based on GLRT", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021, pp. 3785–3789.

9. M. N. Krishnan, B. Puranik, P. V. Kumar, I. Tamo, A. Barg, “Exploiting Locality for Improved Decoding of Binary Cyclic Codes”, IEEE Transactions on Communications, vol. 66, no. 6, pp. 2346-2358, 2018.

10. M. Vajha, V. Ramkumar, B. Puranik, G. Kini, E. Lobo, Birenjith P. S., P. V. Kumar, A. Barg, M. Ye, S. Narayanamurthy, S. Hussain, S. Nandi, “Clay Codes: Moulding MDS Codes to Yield an MSR Code”, Proceedings of the 16th USENIX Conference on File and Storage Technologies (FAST), 2018, Oakland, CA, USA, pp. 139-154.

11. M. N. Krishnan, B. Puranik, P. V. Kumar, I. Tamo, A. Barg, “A study on the impact of locality in the decoding of binary cyclic codes”, Proceedings of the IEEE International Symposium on Information Theory (ISIT), 2017, pp. 176-180.

Master's Thesis

1. "Codes for Distributed Storage: Decoding Binary Cyclic Codes using Locality and Ceph Implementation of an MSR Code", Indian Institute of Science, July 2017 (pdf, slides). 

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