Suchergebnisse - (coding OR Decoding) (algorithm OR algorithmicsic)
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161
Tensor Network Decoding Beyond 2D
Veröffentlicht 2023Inhaltsangabe: “… Decoding algorithms based on approximate tensor network contraction have proven tremendously …”
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162
Generative Decoding for Quantum Error-correcting Codes
Veröffentlicht 2025Inhaltsangabe: “… , and the large space for logical operators in high-rate codes. In this work, we propose a decoding algorithm …”
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163
Quantum Decoding Algorithms: Quantum Speedups in Optimization
Veröffentlicht 2026Inhaltsangabe: “… class of optimization problems has emerged, called Decoded Quantum Interferometry (DQI). In DQI, a …”
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164
Iterative Neural Rollback Chase-Pyndiah Decoding
Veröffentlicht 2025Inhaltsangabe: “… , where error-correcting codes such as turbo product codes (TPC) and staircase codes are widely employed …”
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165
Sequential Decoding of Convolutional Codes for Synchronization Errors
Veröffentlicht 2022Inhaltsangabe: “… for convolutional codes over channels that are prone to insertion, deletion, and substitution errors, is described …”
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166
Generalization Bounds for Neural Belief Propagation Decoders
Veröffentlicht 2023Inhaltsangabe: “… -driven manner. NBP decoders have been shown to improve upon classical decoding algorithms. In this paper …”
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167
Sequential Automorphism Ensemble Decoding with Early Stopping
Veröffentlicht 2026Inhaltsangabe: “… correlation observed between the decoding outcome and the SC path metric. An algorithm is proposed to find a …”
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168
Accelerating the Tesseract Decoder for Quantum Error Correction
Veröffentlicht 2026Inhaltsangabe: “… Most-Likely-Error (MLE) decoder for QEC that employs the A* search algorithm to explore …”
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169
Optimization of Quadratic Constraints by Decoded Quantum Interferometry
Veröffentlicht 2025Inhaltsangabe: “… A recent paper by Jordan et al. introduced Decoded Quantum Interferometry (DQI), a novel quantum …”
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170
Towards Optimal Multi-draft Speculative Decoding
Veröffentlicht 2025Inhaltsangabe: “… . However, autoregressive sampling has become an efficiency bottleneck. Multi-Draft Speculative Decoding …”
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171
Label-Looping: Highly Efficient Decoding for Transducers
Veröffentlicht 2024Inhaltsangabe: “… This paper introduces a highly efficient greedy decoding algorithm for Transducer-based speech …”
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172
High-Accuracy List-Decodable Mean Estimation
Veröffentlicht 2025Inhaltsangabe: “… $D$. By now, there is a large body of work on this topic; however, while many algorithms can achieve …”
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173
Multivariate Decoded Quantum Interferometry for Weighted Optimization
Veröffentlicht 2026Inhaltsangabe: “… Decoded Quantum Interferometry (DQI) is a recently introduced quantum algorithm that reduces …”
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174
Quantum Circuit Design for Decoded Quantum Interferometry
Veröffentlicht 2025Inhaltsangabe: “… Decoded Quantum Interferometry (DQI) is a recently proposed quantum algorithm for approximating …”
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175
A Theoretical Perspective for Speculative Decoding Algorithm
Veröffentlicht 2024Inhaltsangabe: “… language model inferences. One effective way to accelerate inference is \emph{Speculative Decoding}, which …”
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176
Fast Inference via Hierarchical Speculative Decoding
Veröffentlicht 2025Inhaltsangabe: “… , to slower yet more reliable. We introduce Hierarchical Speculative Decoding (HSD), an algorithm that stacks …”
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177
Fast Autoregressive Video Generation with Diagonal Decoding
Veröffentlicht 2025Inhaltsangabe: “… by tens of thousands of tokens. In this paper, we propose Diagonal Decoding (DiagD), a training-free …”
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178
Is Pre-training Applicable to the Decoder for Dense Prediction?
Veröffentlicht 2025Inhaltsangabe: “… -specific structures or task-specific algorithms. Despite its streamlined design, $\times$Net outperforms …”
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179
Finding Shared Decodable Concepts and their Negations in the Brain
Veröffentlicht 2024Inhaltsangabe: “… embeddings. We then use a novel adaptation of the DBSCAN clustering algorithm to cluster the parameters …”
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180
UCD: Unlearning in LLMs via Contrastive Decoding
Veröffentlicht 2025Inhaltsangabe: “… unlearning algorithm that uses contrastive decoding, leveraging two auxiliary smaller models, one trained …”
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