Risultati della ricerca - decoding ((algorithmics OR Algorithmsssic) OR algorithm)

  1. 1301

    Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations di Foong, Tham Yik, Zhang, Heng, Yuan, Mao Po, Vargas, Danilo Vasconcellos

    Pubblicazione 2024
    Sommario: “... Xenovert, an adaptive algorithm that can dynamically adapt to changes in input distribution. It is a...”
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    Preprint
  2. 1302

    Exploring and Improving Drafts in Blockwise Parallel Decoding di Kim, Taehyeon, Suresh, Ananda Theertha, Papineni, Kishore, Riley, Michael, Kumar, Sanjiv, Benton, Adrian

    Pubblicazione 2024
    Sommario: “... hampered by the slow inference speeds inherent in sequential token generation. Blockwise parallel decoding...”
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  3. 1303

    TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes di Maxey, Christopher, Choi, Jaehoon, Lee, Yonghan, Lee, Hyungtae, Manocha, Dinesh, Kwon, Heesung

    Pubblicazione 2024
    Sommario: “... Field (NeRF), wherein our algorithm stores a set of tiered feature vectors. The tiered feature vectors...”
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  4. 1304

    Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient di Li, Yang, Zhao, Feifei, Zhao, Dongcheng, Zeng, Yi

    Pubblicazione 2024
    Sommario: “... direct training of SNNs for various applications. The surrogate gradient (SG) algorithm has recently...”
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    Preprint
  5. 1305
  6. 1306

    Menichetti's nonassociative $G$-crossed product algebras and Menichetti codes di Pumpluen, Susanne

    Pubblicazione 2024
    Sommario: “... of algebra they display symmetric and cyclic properties which promise efficient decoding algorithms. Well...”
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    Preprint
  7. 1307

    Joint Beam Scheduling and Resource Allocation for Flexible RSMA-aided Near-Field Communications di Zhou, Jiasi, Zhou, Cong, Mao, Yijie, Tellambura, Chintha

    Pubblicazione 2024
    Sommario: “... is proposed to efficiently manage interference, which carefully selects a subset of legacy users to decode...”
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  8. 1308

    Numerical Pruning for Efficient Autoregressive Models di Shen, Xuan, Song, Zhao, Zhou, Yufa, Chen, Bo, Liu, Jing, Zhang, Ruiyi, Rossi, Ryan A., Tan, Hao, Yu, Tong, Chen, Xiang, Zhou, Yufan, Sun, Tong, Zhao, Pu, Wang, Yanzhi, Gu, Jiuxiang

    Pubblicazione 2024
    Sommario: “... on compressing decoder-only transformer-based autoregressive models through structural weight pruning to improve...”
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    Preprint
  9. 1309

    NeuroIncept Decoder for High-Fidelity Speech Reconstruction from Neural Activity di Khanday, Owais Mujtaba, Pérez-Córdoba, José L., Mir, Mohd Yaqub, Najar, Ashfaq Ahmad, Gonzalez-Lopez, Jose A.

    Pubblicazione 2025
    Sommario: “...This paper introduces a novel algorithm designed for speech synthesis from neural activity...”
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  10. 1310

    EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics di Wang, Zirui, Song, Zhenxi, Guo, Yi, Liu, Yuxin, Xu, Guoyang, Zhang, Min, Zhang, Zhiguo

    Pubblicazione 2025
    Sommario: “...The development of EEG decoding algorithms confronts challenges such as data sparsity, subject...”
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    Preprint
  11. 1311

    Speculative Decoding and Beyond: An In-Depth Survey of Techniques di Hu, Yunhai, Liu, Zining, Dong, Zhenyuan, Peng, Tianfan, McDanel, Bradley, Zhang, Sai Qian

    Pubblicazione 2025
    Sommario: “... algorithmic innovations and system-level implementations, we examine deployment strategies across computing...”
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  12. 1312

    On Designing Novel ISI-Reducing Single Error Correcting Codes in an MCvD System di Nath, Tamoghno, Benerjee, Krishna Gopal, Banerjee, Adrish

    Pubblicazione 2025
    Sommario: “... with channel memory and noise. We have also provided encoding and decoding algorithms for the proposed codes...”
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  13. 1313

    Neural Parametric Mixtures for Path Guiding di Dong, Honghao, Wang, Guoping, Li, Sheng

    Pubblicazione 2025
    Sommario: “... to encode target distributions for path guiding algorithms. We propose to use a continuous and compact...”
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    Preprint
  14. 1314

    Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations di Sun, Yiyou, Gai, Yu, Chen, Lijie, Ravichander, Abhilasha, Choi, Yejin, Song, Dawn

    Pubblicazione 2025
    Sommario: “... faithful ones. Through theoretical and empirical analyses, we demonstrate that decoder-only transformers...”
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  15. 1315

    Explicit Lossless Vertex Expanders di Hsieh, Jun-Ting, Lubotzky, Alexander, Mohanty, Sidhanth, Reiner, Assaf, Zhang, Rachel Yun

    Pubblicazione 2025
    Sommario: “... codes of Lin and M. Hsieh with a linear time decoding algorithm. Our construction is based on taking...”
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  16. 1316

    Hybrid NOMA Assisted Heterogeneous Semantic and Bit Users Communication di Ahmed, Ishtiaque, Musavian, Leila

    Pubblicazione 2025
    Sommario: “... decoding order in slots including heterogeneous users. An optimization problem for the power allocation...”
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  17. 1317

    Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing di Ma, Ke, Xie, Junfei

    Pubblicazione 2025
    Sommario: “... moving vehicles to nearby RSUs. KATO integrates an attention-inspired encoder-decoder model for selecting...”
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  18. 1318

    On the Ding and Helleseth's 8th open problem about optimal ternary cyclic codes di He, Dong, Zheng, Peipei, Liao, Qunying

    Pubblicazione 2025
    Sommario: “... storage systems and communication systems due to the efficient encoding and decoding algorithms. In 2013...”
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    Preprint
  19. 1319

    Tady: A Neural Disassembler without Structural Constraint Violations di Qin, Siliang, Yang, Fengrui, Wang, Hao, Zhang, Bolun, Gao, Zeyu, Zhang, Chao, Chen, Kai

    Pubblicazione 2025
    Sommario: “... and instruction-level decoding that neglect global structural integrity. We introduce Tady, a novel neural...”
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  20. 1320

    Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance di Guo, Zhengyi, Li, Jiatu, Tang, Wenpin, Yao, David D.

    Pubblicazione 2025
    Sommario: “... diffusion model in the latent space; next, apply a compressed sensing algorithm to the samples generated...”
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