Suchergebnisse - decoding ((Algorithmssics OR Algorithmssics) OR (algorithm OR (algorithm OR algorithm)))

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

Inhaltsangabe: “… 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 von Wüst, Vincent, Cil, Erdem Eray, Schmalen, Laurent

Inhaltsangabe: “… ) 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 von Mishra, Samir Kumar, Katyal, Digvijay, Ganapathi, Sarvesha Anegundi

Inhaltsangabe: “… 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 von Qin, Lang, Yan, Rui, Tang, Huajin

Inhaltsangabe: “… . 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 von Hansen, Nicklas, Su, Hao, Wang, Xiaolong

Inhaltsangabe: “… 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 von Pereira, Joao, Chalatsis, Dimitrios, Hodossy, Balint, Farina, Dario

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

Inhaltsangabe: “… 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 von Wodzinski, Marek, Müller, Henning

Inhaltsangabe: “… 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 von Mishra, Rajesh, Jafar, Syed, Vishwanath, Sriram, Kim, Hyeji

Inhaltsangabe: “… 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 von Zhang, Zhuohui, He, Bin, Cheng, Bin, Li, Gang

Inhaltsangabe: “… 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 von Son, Bui Duc, Khanh, Ngo Nam, Van Chien, Trinh, Kim, Dong In

Inhaltsangabe: “… 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 von Chen, Yuan, Khaliq, Abdul, Furati, Khaled M.

Inhaltsangabe: “… -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 von Chen, Siyuan, Jia, Zhipeng, Khan, Samira, Krishnamurthy, Arvind, Gibbons, Phillip B.

Inhaltsangabe: “… 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 von Conzelmann, Alexander, Bamler, Robert

Inhaltsangabe: “… , 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 von Chen, Jingyi, Zhang, Xinyuan, Qian, Xinwu

Inhaltsangabe: “… 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 von Fan, Zhiwei, Wang, Tiangang, Huang, Kexin, Ying, Binwu, Zhou, Xiaobo

Inhaltsangabe: “… 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 von Sugiyama, Kosuke, Uchida, Masato

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

Inhaltsangabe: “… 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 von Choi, Whan-Hyuk

Inhaltsangabe: “… 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 von Plabst, Daniel, Prinz, Tobias, Diedolo, Francesca, Wiegart, Thomas, Böcherer, Georg, Hanik, Norbert, Kramer, Gerhard

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