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Sreeram Kannan
Sreeram Kannan
Founder, EigenLayer; Affiliate Associate Professor, University of Washington
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
Improving federated learning personalization via model agnostic meta learning
Y Jiang, J Konečnı, K Rush, S Kannan
arXiv preprint arXiv:1909.12488, 2019
5782019
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
3772019
Deceiving google's perspective api built for detecting toxic comments
H Hosseini, S Kannan, B Zhang, R Poovendran
arXiv preprint arXiv:1702.08138, 2017
3522017
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
284*2019
Communication algorithms via deep learning
H Kim, Y Jiang, R Rana, S Kannan, S Oh, P Viswanath
arXiv preprint arXiv:1805.09317, 2018
2512018
Estimating mutual information for discrete-continuous mixtures
W Gao, S Kannan, S Oh, P Viswanath
Advances in neural information processing systems 30, 2017
1882017
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
154*2020
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
1512017
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
1482019
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
1362018
Deepcode: Feedback codes via deep learning
H Kim, Y Jiang, S Kannan, S Oh, P Viswanath
Advances in neural information processing systems 31, 2018
1122018
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
1102020
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
882020
Coded merkle tree: Solving data availability attacks in blockchains
M Yu, S Sahraei, S Li, S Avestimehr, S Kannan, P Viswanath
International Conference on Financial Cryptography and Data Security, 114-134, 2020
832020
Themis: Fast, strong order-fairness in byzantine consensus
M Kelkar, S Deb, S Long, A Juels, S Kannan
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
822023
CCMI: Classifier based conditional mutual information estimation
S Mukherjee, H Asnani, S Kannan
Uncertainty in artificial intelligence, 1083-1093, 2020
822020
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis
E Lin, S Mukherjee, S Kannan
BMC bioinformatics 21, 1-11, 2020
762020
{DispersedLedger}:{High-Throughput} byzantine consensus on variable bandwidth networks
L Yang, SJ Park, M Alizadeh, S Kannan, D Tse
19th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2022
702022
Order-fair consensus in the permissionless setting
M Kelkar, S Deb, S Kannan
Proceedings of the 9th ACM on ASIA Public-Key Cryptography Workshop, 3-14, 2022
592022
BFT protocol forensics
P Sheng, G Wang, K Nayak, S Kannan, P Viswanath
Proceedings of the 2021 ACM SIGSAC conference on computer and communications …, 2021
592021
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