| Deceiving google's perspective api built for detecting toxic comments H Hosseini, S Kannan, B Zhang, R Poovendran arXiv preprint arXiv:1702.08138, 2017 | 137 | 2017 |
| Communication algorithms via deep learning H Kim, Y Jiang, R Rana, S Kannan, S Oh, P Viswanath arXiv preprint arXiv:1805.09317, 2018 | 135 | 2018 |
| 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 | 104 | 2019 |
| Estimating mutual information for discrete-continuous mixtures W Gao, S Kannan, S Oh, P Viswanath arXiv preprint arXiv:1709.06212, 2017 | 91 | 2017 |
| 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 | 90* | 2019 |
| 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 | 75 | 2017 |
| Improving federated learning personalization via model agnostic meta learning Y Jiang, J Konečný, K Rush, S Kannan arXiv preprint arXiv:1909.12488, 2019 | 70 | 2019 |
| Deepcode: Feedback codes via deep learning H Kim, Y Jiang, S Kannan, S Oh, P Viswanath arXiv preprint arXiv:1807.00801, 2018 | 61 | 2018 |
| 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 | 43* | 2013 |
| 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 | 40 | 2018 |
| Multicommodity flows and cuts in polymatroidal networks C Chekuri, S Kannan, A Raja, P Viswanath SIAM Journal on Computing 44 (4), 912-943, 2015 | 34* | 2015 |
| 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 | 32 | 2020 |
| Approximately optimal wireless broadcasting S Kannan, A Raja, P Viswanath Information Theory, IEEE Transactions on 58 (12), 7154-7167, 2012 | 31 | 2012 |
| 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 | 29* | 2013 |
| Shannon: An information-optimal de novo RNA-seq assembler S Kannan, J Hui, K Mazooji, L Pachter, D Tse bioRxiv, 039230, 2016 | 28* | 2016 |
| 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 | 27* | 2020 |
| Capacity of multiple unicast in wireless networks: A polymatroidal approach S Kannan, P Viswanath IEEE Transactions on Information Theory 60 (10), 6303-6328, 2014 | 27* | 2014 |
| 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 arXiv preprint arXiv:1911.03038, 2019 | 26* | 2019 |
| Resolving multicopy duplications de novo using polyploid phasing MJ Chaisson, S Mukherjee, S Kannan, EE Eichler International Conference on Research in Computational Molecular Biology, 117-133, 2017 | 25 | 2017 |
| Multi-hop cooperative wireless networks: diversity multiplexing tradeoff and optimal code design K Sreeram, S Birenjith, PV Kumar arXiv preprint arXiv:0802.1888, 2008 | 25 | 2008 |
