Results 11 to 20 of about 329,976 (341)

Network Decoding

open access: yesIEEE Transactions on Information Theory, 2023
We consider the problem of error control in a coded, multicast network, focusing on the scenario where the errors can occur only on a proper subset of the network edges. We model this problem via an adversarial noise, presenting a formal framework and a series of techniques to obtain upper and lower bounds on the network's (1-shot) capacity, improving ...
Allison Beemer   +2 more
openaire   +4 more sources

Statistical decoding [PDF]

open access: yes2017 IEEE International Symposium on Information Theory (ISIT), 2017
The security of code-based cryptography relies primarily on the hardness of generic decoding with linear codes. The best generic decoding algorithms are all improvements of an old algorithm due to Prange: they are known under the name of information set decoding techniques (ISD).
Debris-Alazard, Thomas   +1 more
openaire   +2 more sources

Speculative Decoding with Big Little Decoder

open access: yesAdvances in Neural Information Processing Systems 36, 2023
The recent emergence of Large Language Models based on the Transformer architecture has enabled dramatic advancements in the field of Natural Language Processing. However, these models have long inference latency, which limits their deployment and makes them prohibitively expensive for various real-time applications.
Sehoon Kim 0001   +6 more
openaire   +3 more sources

Decoding with confidence: Statistical control on decoder maps

open access: yesNeuroImage, 2021
In brain imaging, decoding is widely used to infer relationships between brain and cognition, or to craft brain-imaging biomarkers of pathologies. Yet, standard decoding procedures do not come with statistical guarantees, and thus do not give confidence bounds to interpret the pattern maps that they produce.
Chevalier, Jérôme-Alexis   +4 more
openaire   +4 more sources

The decoding Library for list decoding [PDF]

open access: yesACM Communications in Computer Algebra, 2013
The decoding library is a C library whose main goal is to implement as effi- ciently as possible the Guruswami-Sudan algorithm. It is written in C89 and is stand-alone.
openaire   +2 more sources

A decade of decoding

open access: yesNature Reviews Chemistry, 2021
Molecular decoders are single host matrices able to differentiate analytes by their distinct structural accommodations. Ten years ago, Susumu Kitagawa and co-workers described the prototypical molecular decoder and paved the way for molecular sensing. We now revisit this seminal study and discuss some of the advances that have followed.
Soumya Mukherjee, Sujit K. Ghosh
openaire   +2 more sources

Smaller Decoding Exponents: Ball-Collision Decoding [PDF]

open access: yes, 2011
Very few public-key cryptosystems are known that can encrypt and decrypt in time $ b^{ 2¿+¿o(1) } $with conjectured security level $2^b$ against conventional computers and quantum computers. The oldest of these systems is the classic McEliece code-based cryptosystem.
Bernstein, D.J., Lange, T., Peters, C.P.
openaire   +3 more sources

Design and Implementation of a Highly Efficient Quasi-Cyclic Low-Density Parity-Check Transceiving System Using an Overlapping Decoder

open access: yesSensors, 2023
The traditional LDPC encoding and decoding system is characterized by low throughput and high resource consumption, making it unsuitable for use in cost-efficient, energy-saving sensor networks.
Yuxuan Sun   +5 more
doaj   +1 more source

Enhanced blind decoding of Tardos codes with new map-based functions [PDF]

open access: yes, 2013
This paper presents a new decoder for probabilistic binary traitor tracing codes under the marking assumption. It is based on a binary hypothesis testing rule which integrates a collusion channel relaxation so as to obtain numerical and simple accusation
Desoubeaux, Mathieu   +3 more
core   +3 more sources

Vision Transformer and Language Model Based Radiology Report Generation

open access: yesIEEE Access, 2023
Recent advancements in transformers exploited computer vision problems which results in state-of-the-art models. Transformer-based models in various sequence prediction tasks such as language translation, sentiment classification, and caption generation ...
Mashood Mohammad Mohsan   +5 more
doaj   +1 more source

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