Sreeram Kannan - Concepedia

Author

Sreeram Kannan

University of Washington ORCID

Also Known As

Avestimehr, A. Salman, Kannan, Sreeram, Lu, Zhenghao, Michael Ohtake, S. Kannan, S. Navaneetha Kannan, Sreeram Kannan

141

Publications

2.7K

Citations

H-Index

123

Concepts

All Affiliations

University of Washington University of Illinois Urbana-Champaign Seattle University Stanford University Samsung (United Kingdom)

About

Sreeram Kannan is an author at University of Washington specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	27	1.8K
2	Medicine	5	5	305
3	Business	4	4	411
4	Education	2	2	34
5	Arts	1	1	132

Sreeram Kannan

Publications

2.3K

Citations

H-Index

Page 1

	Year	Citations
Improving Federated Learning Personalization via Model Agnostic Meta Learning Yihan Jiang, Jakub Konečný, Keith Rush, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningMeta-learningFederated Structure	2019	368
Prism Vivek Bagaria, Sreeram Kannan, David Tse, Blockchain Consensus ProtocolEngineeringPropagation Delay DInformation SecurityCloud Computing	2019	223
Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe Xiaojie Qiu, Arman Rahimzamani, Li Wang, Cell Systems Functional GenomicsEngineeringMedicineGeneticsBiological Network	2020	170
Deceiving Google's Perspective API Built for Detecting Toxic Comments Hossein Hosseini, Sreeram Kannan, Baosen Zhang, arXiv (Cornell University) Abuse DetectionEngineeringDemonstration WebsitePerspective Api BuiltInformation Forensics	2017	132
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems Hossein Hosseini, Yize Chen, Sreeram Kannan, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceMachine Learning Model	2017	91
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels Yihan Jiang, Hyeji Kim, Himanshu Asnani, arXiv (Cornell University)	2019	84
A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis Eugene Lin, Sudipto Mukherjee, Sreeram Kannan BMC Bioinformatics	2020	83
Estimating Mutual Information for Discrete-Continuous Mixtures Weihao Gao, Sreeram Kannan, Sewoong Oh, arXiv (Cornell University) Standard EstimatorsMixture DistributionEngineeringMachine LearningData Science	2017	77
Perigee: Efficient Peer-to-Peer Network Design for Blockchains Yifan Mao, Soubhik Deb, Shaileshh Bojja Venkatakrishnan, Cluster ComputingComputational Social ScienceBlockchain Consensus ProtocolNetwork ScienceSocial Network Analysis	2020	71
Deepcode: Feedback Codes via Deep Learning Hyeji Kim, Yihan Jiang, Sreeram Kannan, IEEE Journal on Selected Areas in Information Theory Artificial IntelligenceEngineeringMachine LearningDeep LearningData Science	2020	65

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