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Narayana P. Santhanam

University of California, San Diego
University of Hawaii at Manoa
University of Hawaii

60

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1014

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Redundancy of Unbounded Memory Markov Classes with Continuity Conditions

2018 ISIT | International Symposium on Information Theory
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Redundancy of Markov Family with Unbounded Memory

2018 arXiv: Information Theory
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Tail redundancy and its characterization of compression of memoryless sources.

2018 arXiv: Information Theory
- Maryam Hosseini
- Narayana P. Santhanam
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Jackknife estimation for Markov processes with no mixing constraints

2017 ISIT | International Symposium on Information Theory
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Flash Memories: ISPP Renewal Theory and Flash Design Tradeoffs

2016 IEEE Journal on Selected Areas in Communications
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Write process modeling in MLC flash memories using renewal theory

2015 ISIT | International Symposium on Information Theory
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Single letter characterization of average-case strong redundancy of compressing memoryless sequences

2015 Allerton | Allerton Conference on Communication, Control, and Computing
- Maryam Hosseini
- Narayana P. Santhanam
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Modeling community detection using slow mixing random walks

2015 Big Data | International Conference on Big Data
- Ramezan Paravi Torghabeh
- Narayana P. Santhanam
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Community Detection Using Slow Mixing Markov Models.

2015 arXiv: Social and Information Networks
- Ramezan Paravi Torghabeh
- Narayana P. Santhanam
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Agnostic insurability of model classes

2015 Journal of Machine Learning Research
- Narayana P. Santhanam
- Venkat Anantharam
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