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Sreeram Kannan
Sreeram Kannan
Associate Professor, University of Washington
在 uw.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Improving federated learning personalization via model agnostic meta learning
Y Jiang, J Konečný, K Rush, S Kannan
arXiv preprint arXiv:1909.12488, 2019
3382019
Clustergan: Latent space clustering in generative adversarial networks
S Mukherjee, H Asnani, E Lin, S Kannan
Proceedings of the AAAI conference on artificial intelligence 33 (01), 4610-4617, 2019
2592019
Deceiving google's perspective api built for detecting toxic comments
H Hosseini, S Kannan, B Zhang, R Poovendran
arXiv preprint arXiv:1702.08138, 2017
2542017
Communication algorithms via deep learning
H Kim, Y Jiang, R Rana, S Kannan, S Oh, P Viswanath
arXiv preprint arXiv:1805.09317, 2018
2012018
Prism: Deconstructing the blockchain to approach physical limits
V Bagaria, S Kannan, D Tse, G Fanti, P Viswanath
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019
190*2019
Estimating mutual information for discrete-continuous mixtures
W Gao, S Kannan, S Oh, P Viswanath
Advances in neural information processing systems 30, 2017
1462017
Blocking transferability of adversarial examples in black-box learning systems
H Hosseini, Y Chen, S Kannan, B Zhang, R Poovendran
arXiv preprint arXiv:1703.04318, 2017
1172017
Turbo autoencoder: Deep learning based channel codes for point-to-point communication channels
Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath
Advances in neural information processing systems 32, 2019
992019
Inferring causal gene regulatory networks from coupled single-cell expression dynamics using scribe
X Qiu, A Rahimzamani, L Wang, B Ren, Q Mao, T Durham, ...
Cell systems 10 (3), 265-274. e11, 2020
94*2020
Polyshard: Coded sharding achieves linearly scaling efficiency and security simultaneously
S Li, M Yu, S Avestimehr, S Kannan, P Viswanath
arXiv preprint arXiv:1809.10361, 2018
932018
Deepcode: Feedback codes via deep learning
H Kim, Y Jiang, S Kannan, S Oh, P Viswanath
Advances in neural information processing systems 31, 2018
812018
Learn codes: Inventing low-latency codes via recurrent neural networks
Y Jiang, H Kim, H Asnani, S Kannan, S Oh, P Viswanath
IEEE Journal on Selected Areas in Information Theory 1 (1), 207-216, 2020
712020
Everything is a race and nakamoto always wins
A Dembo, S Kannan, EN Tas, D Tse, P Viswanath, X Wang, O Zeitouni
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020
632020
CCMI: Classifier based conditional mutual information estimation
S Mukherjee, H Asnani, S Kannan
Uncertainty in artificial intelligence, 1083-1093, 2020
562020
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis
E Lin, S Mukherjee, S Kannan
BMC bioinformatics 21 (1), 1-11, 2020
492020
Coded merkle tree: Solving data availability attacks in blockchains
M Yu, S Sahraei, S Li, S Avestimehr, S Kannan, P Viswanath
Financial Cryptography and Data Security: 24th International Conference, FC …, 2020
492020
Deepturbo: Deep turbo decoder
Y Jiang, S Kannan, H Kim, S Oh, H Asnani, P Viswanath
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
442019
DMT of parallel-path and layered networks under the half-duplex constraint
K Sreeram, S Birenjith, PV Kumar
IEEE transactions on information theory 59 (6), 3875-3891, 2013
44*2013
Mind: Model independent neural decoder
Y Jiang, H Kim, H Asnani, S Kannan
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
40*2019
Dmt of multihop networks: end points and computational tools
K Sreeram, S Birenjith, PV Kumar
IEEE transactions on information theory 58 (2), 804-819, 2012
40*2012
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