Sreeram Kannan
Sreeram Kannan
Associate Professor, University of Washington
Verified email at - Homepage
Cited by
Cited by
Deceiving google's perspective api built for detecting toxic comments
H Hosseini, S Kannan, B Zhang, R Poovendran
arXiv preprint arXiv:1702.08138, 2017
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
Improving federated learning personalization via model agnostic meta learning
Y Jiang, J Konečný, K Rush, S Kannan
arXiv preprint arXiv:1909.12488, 2019
Communication algorithms via deep learning
H Kim, Y Jiang, R Rana, S Kannan, S Oh, P Viswanath
arXiv preprint arXiv:1805.09317, 2018
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
Estimating mutual information for discrete-continuous mixtures
W Gao, S Kannan, S Oh, P Viswanath
arXiv preprint arXiv:1709.06212, 2017
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
Deepcode: Feedback codes via deep learning
H Kim, Y Jiang, S Kannan, S Oh, P Viswanath
arXiv preprint arXiv:1807.00801, 2018
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, 2758-2768, 2019
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
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
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
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
CCMI: Classifier based conditional mutual information estimation
S Mukherjee, H Asnani, S Kannan
Uncertainty in artificial intelligence, 1083-1093, 2020
Multicommodity flows and cuts in polymatroidal networks
C Chekuri, S Kannan, A Raja, P Viswanath
SIAM Journal on Computing 44 (4), 912-943, 2015
Multi-session function computation and multicasting in undirected graphs
S Kannan, P Viswanath
Selected Areas in Communications, IEEE Journal on 31 (4), 702-713, 2013
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
Shannon: An information-optimal de novo RNA-seq assembler
S Kannan, J Hui, K Mazooji, L Pachter, D Tse
bioRxiv, 039230, 2016
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
Approximately optimal wireless broadcasting
S Kannan, A Raja, P Viswanath
Information Theory, IEEE Transactions on 58 (12), 7154-7167, 2012
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