Suchergebnisse - coding (algorithm OR (algorithmics OR (Algorithmsssics OR Algorithmsssics)))

  1. 4641
  2. 4642

    No Compute Left Behind: Rethinking Reasoning and Sampling with Masked Diffusion Models von Horvitz, Zachary, Singhal, Raghav, Zou, Hao, Domingo-Enrich, Carles, Yu, Zhou, Ranganath, Rajesh, McKeown, Kathleen

    Veröffentlicht 2025
    Inhaltsangabe: “… ) any-order decoding and 2) multi-token decoding. However, we observe that for math and coding tasks …”
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  3. 4643

    Rank-one Riemannian Subspace Descent for Nonlinear Matrix Equations von Darmwal, Yogesh, Rajawat, Ketan

    Veröffentlicht 2026
    Inhaltsangabe: “… We propose a rank-one Riemannian subspace descent algorithm for computing symmetric positive …”
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  4. 4644
  5. 4645

    Network-Efficient World Model Token Streaming von Mishra, Shatadal, Moradipari, Ahmadreza, Ammar, Nejib

    Veröffentlicht 2026
    Inhaltsangabe: “… /frame under fixed-length coding. We consider a keyframe--delta protocol under strict per-message payload …”
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  6. 4646

    Task-Semantic Graph-Driven Distributed Agent Networking for Underwater Target Tracking von Zhu, Shengchao, Han, Guangjie, Lin, Chuan, He, Yu

    Veröffentlicht 2026
    Inhaltsangabe: “… unified open-source platform for evaluating different MARL algorithms under six-degree-of-freedom AUV …”
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  7. 4647

    Biological homochirality and stoichiometric network analysis: Variations on Frank’s model von Andrés Montoya

    Veröffentlicht 2021
    Inhaltsangabe: “… . This algorithm simplifies the mathematical analysis and can be implemented in a computer programme, which can …”
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    Artículo científico
  8. 4648

    Simulation of seismograms in a 2-D viscoelastic Earth by pseudospectral methods von José M. Carcione

    Veröffentlicht 2005
    Inhaltsangabe: “… earthquake attenuation Scholte waves Using an improved global pseudospectral modeling algorithm we synthesize …”
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    Artículo científico
  9. 4649

    Automated Deep Learning‐Based Pipelines for Multi‐Objective De Novo Protein Design von Amrita Nallathambi, Brian Kuhlman

    Veröffentlicht 2025
    Inhaltsangabe: “… algorithm along with iterative structure prediction (AlphaFold2/AlphaFold3) and sequence design (ProteinMPNN …”
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    Artículo Open Access
  10. 4650

    tigeR: Tumor immunotherapy gene expression data analysis R package von Yihao Chen, Li‐Na He, Yuanzhe Zhang, Jingru Gong, Shuangbin Xu, Yuelong Shu, Di Zhang, Guangchuang Yu, Zhixiang Zuo

    Veröffentlicht 2024
    Inhaltsangabe: “… open‐source algorithms to obtain the proportions of different cell types within the tumor …”
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    Artículo Open Access
  11. 4651

    Enhanced Reed–Solomon Error Correction Framework for Reliable Data Transmission in Noisy Communication Systems von Najah Kalifah Almazmomi

    Veröffentlicht 2025
    Inhaltsangabe: “… , conventional error control techniques, like Reed–Solomon (RS) codes, often fail to achieve performance under …”
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    Artículo Open Access
  12. 4652

    Simpler Protein Domain Identification Using Spectral Clustering von Frédéric Cazals, Jules Herrmann, Edoardo Sarti

    Veröffentlicht 2025
    Inhaltsangabe: “… determination. A successful approach to do so is the SPECTRUS algorithm, which provides a segmentation based …”
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    Artículo Open Access
  13. 4653

    A Novel Hyper‐Tuned Multilayer Perceptron With Effective Stochastic Learning Strategies for Missing Values Imputation von Muhammad Hameed Siddiqi, Madallah Alruwaili, Yousef Alhwaiti, Saad Alanazi, Faheem Khan

    Veröffentlicht 2025
    Inhaltsangabe: “… the effectiveness of learning algorithms. The ensemble models and hyper‐tuned multi‐layer perceptron (MLP) with need …”
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    Artículo Open Access
  14. 4654

    Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic? von Döderlein, Jean-Baptiste, Kouadio, Nguessan Hermann, Acher, Mathieu, Khelladi, Djamel Eddine, Combemale, Benoit

    Veröffentlicht 2022
    Inhaltsangabe: “… engineering, they recently gained attention in code assistants, which generate programs from a natural …”
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  15. 4655

    Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning von Sun, Yinqian, Zhao, Feifei, Zhao, Zhuoya, Zeng, Yi

    Veröffentlicht 2023
    Inhaltsangabe: “… -inspired deep distributional reinforcement learning algorithm based on SNNs, which integrates a bio …”
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  16. 4656

    Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation von Song, Weinan, Zhu, Yaxuan, He, Lei, Wu, Yingnian, Xie, Jianwen

    Veröffentlicht 2023
    Inhaltsangabe: “… output image of the target domain according to a style code, which can be inferred by the style encoder …”
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  17. 4657

    VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition von Hines, Adam D., Stratton, Peter G., Milford, Michael, Fischer, Tobias

    Veröffentlicht 2023
    Inhaltsangabe: “… realism for efficiency. VPRTempo employs a temporal code that determines the timing of a single spike …”
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  18. 4658

    SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models von Klu, Emmanuel, Sethi, Sameer, Passey, DJ, Martin Jr, Donald

    Veröffentlicht 2023
    Inhaltsangabe: “… Understanding the long-term impact of algorithmic interventions on society is vital to achieving …”
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  19. 4659

    Eureka: Human-Level Reward Design via Coding Large Language Models von Ma, Yecheng Jason, Liang, William, Wang, Guanzhi, Huang, De-An, Bastani, Osbert, Jayaraman, Dinesh, Zhu, Yuke, Fan, Linxi, Anandkumar, Anima

    Veröffentlicht 2023
    Inhaltsangabe: “… -level reward design algorithm powered by LLMs. Eureka exploits the remarkable zero-shot generation, code …”
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  20. 4660

    PerfRL: A Small Language Model Framework for Efficient Code Optimization von Duan, Shukai, Kanakaris, Nikos, Xiao, Xiongye, Ping, Heng, Zhou, Chenyu, Ahmed, Nesreen K., Ma, Guixiang, Capota, Mihai, Willke, Theodore L., Nazarian, Shahin, Bogdan, Paul

    Veröffentlicht 2023
    Inhaltsangabe: “… and artificial intelligence techniques to automate the code optimization process. In this paper, we introduce …”
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