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Bhagyashree Puranik
Bhagyashree Puranik
Verified email at ucsb.edu - Homepage
Title
Cited by
Cited by
Year
Clay codes: Moulding {MDS} codes to yield an {MSR} code
M Vajha, V Ramkumar, B Puranik, G Kini, E Lobo, B Sasidharan, ...
16th USENIX Conference on File and Storage Technologies (FAST 18), 139-154, 2018
1022018
Exploiting locality for improved decoding of binary cyclic codes
MN Krishnan, B Puranik, PV Kumar, I Tamo, A Barg
IEEE Transactions on Communications 66 (6), 2346-2358, 2018
112018
Adversarially robust classification based on GLRT
B Puranik, U Madhow, R Pedarsani
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
52021
A Dynamic Decision-Making Framework Promoting Long-Term Fairness
B Puranik, U Madhow, R Pedarsani
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 547-556, 2022
32022
In-the-field calibration of all-digital mimo arrays
ME Rasekh, B Puranik, U Madhow, M Rodwell
2022 IEEE Wireless Communications and Networking Conference (WCNC), 1389-1394, 2022
32022
A study on the impact of locality in the decoding of binary cyclic codes
MN Krishnan, B Puranik, PV Kumar, I Tamo, A Barg
Information Theory (ISIT), 2017 IEEE International Symposium on, 176-180, 2017
22017
Generalized likelihood ratio test for adversarially robust hypothesis testing
B Puranik, U Madhow, R Pedarsani
IEEE Transactions on Signal Processing 70, 4124-4139, 2022
12022
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
B Puranik, A Beirami, Y Qin, U Madhow
arXiv preprint arXiv:2311.01047, 2023
2023
Robust Deep Learning via Layerwise Tilted Exponentials
B Puranik, A Beirami, Y Qin, U Madhow
The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023
2023
Dynamic Positive Reinforcement For Long-Term Fairness
B Puranik, U Madhow, R Pedarsani
ICLR 2022 Workshop on Socially Responsible Machine Learning, 2022
2022
A Study on the Impact of Locality in the Decoding of Binary Cyclic Codes
M Nikhil Krishnan, B Puranik, P Vijay Kumar, I Tamo, A Barg
arXiv e-prints, arXiv: 1702.03786, 2017
2017
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