Risultati della ricerca - decoding (algorithmicsics OR (algorithm OR (algorithm OR algorithm)))

Performance-Complexity-Latency Trade-offs of Concatenated RS-SDBCH Codes di Sukmadji, Alvin Y., Kschischang, Frank R.

Sommario: “... Chase-algorithm-based soft-decision-decoded Bose--Ray-Chaudhuri--Hocquenghem codes, and four-level pulse...”
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Protograph-Based LDPC Codes with Local Irregularity di Wüst, Vincent, Cil, Erdem Eray, Schmalen, Laurent

Sommario: “...) algorithm to estimate decoding thresholds on the binary input additive white Gaussian noise channel, perform...”
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A Modified Q-Learning Algorithm for Rate-Profiling of Polarization Adjusted Convolutional (PAC) Codes di Mishra, Samir Kumar, Katyal, Digvijay, Ganapathi, Sarvesha Anegundi

Sommario: “...In this paper, we propose a reinforcement learning based algorithm for rate-profile construction...”
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A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning di Qin, Lang, Yan, Rui, Tang, Huajin

Sommario: “.... In this paper, we use learnable matrix multiplication to encode and decode spikes, improving the flexibility...”
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TD-MPC2: Scalable, Robust World Models for Continuous Control di Hansen, Nicklas, Su, Hao, Wang, Xiaolong

Sommario: “...TD-MPC is a model-based reinforcement learning (RL) algorithm that performs local trajectory...”
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Tackling Electrode Shift In Gesture Recognition with HD-EMG Electrode Subsets di Pereira, Joao, Chalatsis, Dimitrios, Hodossy, Balint, Farina, Dario

Sommario: “...sEMG pattern recognition algorithms have been explored extensively in decoding movement intent, yet...”
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STAT: Shrinking Transformers After Training di Flynn, Megan, Wang, Alexander, Alvarez, Dean Edward, De Sa, Christopher, Damle, Anil

Sommario: “...We present STAT: a simple algorithm to prune transformer models without any fine-tuning. STAT...”
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Patch-Based Encoder-Decoder Architecture for Automatic Transmitted Light to Fluorescence Imaging Transition: Contribution to the LightMyCells Challenge di Wodzinski, Marek, Müller, Henning

Sommario: “... to performing biochemical labeling which is time-consuming and costly. Therefore, an automatic algorithm...”
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Enhancing K-user Interference Alignment for Discrete Constellations via Learning di Mishra, Rajesh, Jafar, Syed, Vishwanath, Sriram, Kim, Hyeji

Sommario: “... a novel deep learning-based approach to design the encoder and decoder functions that aim...”
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Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems di Zhang, Zhuohui, He, Bin, Cheng, Bin, Li, Gang

Sommario: “... reinforcement learning (MARL) algorithm. TGCNet learns the topological structure of a dynamic directed graph...”
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Adversarial Attacks Against Double RIS-Assisted MIMO Systems-based Autoencoder in Finite-Scattering Environments di Son, Bui Duc, Khanh, Ngo Nam, Van Chien, Trinh, Kim, Dong In

Sommario: “... autoencoder, where an adversary employs encoded and decoded datasets to create adversarial perturbation...”
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Quantum Recurrent Neural Networks with Encoder-Decoder for Time-Dependent Partial Differential Equations di Chen, Yuan, Khaliq, Abdul, Furati, Khaled M.

Sommario: “...-decoder framework, integrating Variational Quantum Circuits into Gated Recurrent Units and Long Short-Term...”
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SLOs-Serve: Optimized Serving of Multi-SLO LLMs di Chen, Siyuan, Jia, Zhipeng, Khan, Samira, Krishnamurthy, Arvind, Gibbons, Phillip B.

Sommario: “... decoding. Leveraging this resource planning algorithm, SLOs-Serve effectively supports multi-SLOs and multi...”
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Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding di Conzelmann, Alexander, Bamler, Robert

Sommario: “..., such as embedded sensors. Compression algorithms that reduce their size can mitigate these problems, provided...”
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Unsupervised Learning for the Elementary Shortest Path Problem di Chen, Jingyi, Zhang, Xinyuan, Qian, Xinwu

Sommario: “... negative-cost cycles and embedding the desired algorithmic alignment. At inference time, a decoding...”
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Unleashing the power of computational insights in revealing the complexity of biological systems in the new era of spatial multi-omics di Fan, Zhiwei, Wang, Tiangang, Huang, Kexin, Ying, Binwu, Zhou, Xiaobo

Sommario: “... advanced machine learning algorithms and multi-omics integrative modeling can decode complex biological...”
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Supervised Learning as Lossy Compression: Characterizing Generalization and Sample Complexity via Finite Blocklength Analysis di Sugiyama, Kosuke, Uchida, Masato

Sommario: “..., and the model construction to a decoding process. By leveraging finite blocklength analysis, we derive lower...”
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Parallelizable Neural Turing Machines di Faria, Gabriel, Junior, Arnaldo Candido

Sommario: “... execution. We evaluate the proposed architecture on a synthetic benchmark of algorithmic problems involving...”
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Algorithms of self-synchronizing single-deletion-correcting codes di Choi, Whan-Hyuk

Sommario: “... present encoding and decoding algorithms for self-synchronizing single-deletion correcting DNA codes...”
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Neural Network Equalizers and Successive Interference Cancellation for Bandlimited Channels with a Nonlinearity di Plabst, Daniel, Prinz, Tobias, Diedolo, Francesca, Wiegart, Thomas, Böcherer, Georg, Hanik, Norbert, Kramer, Gerhard

Sommario: “...Neural networks (NNs) inspired by the forward-backward algorithm (FBA) are used as equalizers...”
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