Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Mary Wootters"'
Autor:
Billy Lau, Shubham Chandak, Sharmili Roy, Kedar Tatwawadi, Mary Wootters, Tsachy Weissman, Hanlee P. Ji
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract The storage of data in DNA typically involves encoding and synthesizing data into short oligonucleotides, followed by reading with a sequencing instrument. Major challenges include the molecular consumption of synthesized DNA, basecalling er
Externí odkaz:
https://doaj.org/article/e05020c8bf364082b0fa245011539ba0
Publikováno v:
2022 IEEE International Symposium on Information Theory (ISIT).
Publikováno v:
2022 IEEE International Symposium on Information Theory (ISIT).
Autor:
Alexandra Porter, Mary Wootters
Publikováno v:
ITW
Motivated by applications in distributed storage and distributed computation, we introduce embedded index coding (EIC). EIC is a type of distributed index coding in which nodes in a distributed system act as both broadcast senders and receivers of in
Autor:
Mary Wootters, Ray Li
Publikováno v:
IEEE Transactions on Information Theory. 67:1522-1536
There has been a great deal of work establishing that random linear codes are as list-decodable as uniformly random codes, in the sense that a random linear binary code of rate $1 - H(p) - \epsilon$ is $(p,O(1/\epsilon))$-list-decodable with high pro
Autor:
Mary Wootters, Ray Li
Publikováno v:
IEEE Transactions on Information Theory. 67:716-725
Lifted Reed Solomon Codes (Guo, Kopparty, Sudan 2013) were introduced in the context of locally correctable and testable codes. They are multivariate polynomials whose restriction to any line is a codeword of a Reed-Solomon code. We consider a genera
Autor:
Venkatesan Guruswami, Ray Li, Jonathan Mosheiff, Nicolas Resch, Shashwat Silas, Mary Wootters
Publikováno v:
IEEE Trans. Inf. Theory
Autor:
Mary Wootters, Dante Gabriel Muratore, Subhasish Mitra, Pulkit Tandon, Boris Murmann, E. J. Chichilnisky
Publikováno v:
ISCAS
Neural interfaces of the future will be used to help restore lost sensory, motor, and other capabilities. However, realizing this futuristic promise requires a major leap forward in how electronic devices interface with the nervous system. Next gener
Autor:
Mary Wootters, Alexandra Porter
Publikováno v:
ISIT
We analyze greedy algorithms for the Hierarchical Aggregation (HAG) problem, a strategy introduced in [Jia et al., KDD 2020] for speeding up learning on Graph Neural Networks (GNNs). The idea of HAG is to identify and remove redundancies in computati
Publikováno v:
ISIT
In the emerging field of DNA storage, data is encoded as DNA sequences and stored. The data is read out again by sequencing the stored DNA. Nanopore sequencing is a new sequencing technology that has many advantages over other methods; in particular,