Results 11 to 20 of about 467,421 (344)
IEEE 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
2017 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
Cancers, 2021 Non-coding RNAs (ncRNAs) have been considered as unimportant additions to the transcriptome. Yet, in light of numerous studies, it has become clear that ncRNAs play important roles in development, health and disease. Long-ignored, long non-coding RNAs (lncRNAs), ncRNAs made of more than 200 nucleotides have gained attention due to their involvement as ...
Lidia Borkiewicz +4 more
openaire +3 more sources
Deep learning with convolutional neural networks for EEG decoding and visualization [PDF]
Human Brain Mapping, 2017 Deep learning with convolutional neural networks (deep ConvNets) has revolutionized computer vision through end‐to‐end learning, that is, learning from the raw data.
R. Schirrmeister +8 more
semanticscholar +1 more source
An Oracle-Based Framework for Implementing a Quantum Parallel Decoder/Multiplexer
IEEE Access, 2023 Quantum computers excel at solving complex computational problems more efficiently than conventional supercomputers. However, a significant challenge in quantum computing is implementing key operations of conventional computers, such as arithmetic ...
Stavros Souravlas +2 more
doaj +1 more source
Accelerating LLM Inference with Staged Speculative Decoding [PDF]
arXiv.org, 2023 Recent advances with large language models (LLM) illustrate their diverse capabilities. We propose a novel algorithm, staged speculative decoding, to accelerate LLM inference in small-batch, on-device scenarios. We address the low arithmetic intensity of
Benjamin Spector, Christal Re
semanticscholar +1 more source
Decoding by linear programming [PDF]
IEEE Transactions on Information Theory, 2005 This paper considers a natural error correcting problem with real valued input/output. We wish to recover an input vector f/spl isin/R/sup n/ from corrupted measurements y=Af+e.
E. Candès, T. Tao
semanticscholar +1 more source
Mechanical hierarchy in the formation and modulation of cortical folding patterns
Scientific Reports, 2023 The important mechanical parameters and their hierarchy in the growth and folding of the human brain have not been thoroughly understood. In this study, we developed a multiscale mechanical model to investigate how the interplay between initial ...
Poorya Chavoshnejad +6 more
doaj +1 more source
Research on the Performance of an End-to-End Intelligent Receiver with Reduced Transmitter Data
Applied Sciences, 2022 A large amount of data transmission is one of the challenges faced by communication systems. In this paper, we revisit the intelligent receiver consisting of a neural network, and we find that the intelligent receiver can reduce the data at the ...
Mingbo Wang +3 more
doaj +1 more source
EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization
IEEE transactions on neural systems and rehabilitation engineering, 2022 Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding.
Yonghao Song +3 more
semanticscholar +1 more source