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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
1262018
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
132018
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
122022
Adversarially robust classification based on GLRT
B Puranik, U Madhow, R Pedarsani
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
72021
Generalized likelihood ratio test for adversarially robust hypothesis testing
B Puranik, U Madhow, R Pedarsani
IEEE Transactions on Signal Processing 70, 4124-4139, 2022
52022
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
42022
Dynamic positive reinforcement for long-term fairness
B Puranik, U Madhow, R Pedarsani
ICLR 2022 Workshop on Socially Responsible Machine Learning, 2022
42022
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
Long-term fairness in sequential multi-agent selection with positive reinforcement
B Puranik, O Guldogan, U Madhow, R Pedarsani
IEEE Journal on Selected Areas in Information Theory, 2024
12024
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
B Puranik, A Beirami, Y Qin, U Madhow
International Conference on Artificial Intelligence and Statistics, 4510-4518, 2024
12024
Tabular out-of-distribution data synthesis for enhancing robustness
B Puranik, B Can, Y Fan
2024
Towards Responsible Machine Learning: Enhancing Robustness Against Adversaries and Corruptions and Promoting Fairness in Decision-Making
B Puranik
University of California, Santa Barbara, 2024
2024
Robust Deep Learning via Layerwise Tilted Exponentials
B Puranik, A Beirami, Y Qin, U Madhow
2nd New Frontiers in Adversarial Machine Learning Workshop, ICML 2023, 2023
2023
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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