Suchergebnisse - coding (algorithmssics OR (algorithm OR (algorithm OR Algorithmssssicsics)))

  1. 4241

    Analysis of some solid amorphous inorganic structures and the boson peak phenomenon with a computational random graph approach von Berezner, A., Rybakov, M., Sidlyar, M., Fedorov, V.

    Veröffentlicht 2026
    Inhaltsangabe: “… In this study, a new alternative model algorithm has been proposed for assembling amorphous …”
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  2. 4242

    Balancing Inexactness in Mixed Precision Matrix Computations von Carson, Erin Claire

    Veröffentlicht 2026
    Inhaltsangabe: “… is to determine how and where we can safely exploit mixed precision computation in our codes to improve …”
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  3. 4243

    Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning von Jo, Yonghyeon, Lee, Sunwoo, Han, Seungyul

    Veröffentlicht 2026
    Inhaltsangabe: “… various MARL algorithms, demonstrating improved adaptability and overall performance. Our code …”
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  4. 4244

    Safe Probabilistic Planning for Human-Robot Interaction using Conformal Risk Control von Gonzales, Jake, Mizuta, Kazuki, Leung, Karen, Ratliff, Lillian J.

    Veröffentlicht 2026
    Inhaltsangabe: “… of constraint satisfaction during interaction. We introduce an algorithm that dynamically adjusts the safety …”
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  5. 4245
  6. 4246

    Adaptive Contracts for Cost-Effective AI Delegation von Saig, Eden, Garbuz, Tamar, Procaccia, Ariel D., Talgam-Cohen, Inbal, Tucker-Foltz, Jamie

    Veröffentlicht 2026
    Inhaltsangabe: “… of contributions: First, we provide efficient algorithms for computing optimal adaptive contracts under natural …”
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  7. 4247

    Investigating Bias and Fairness in Appearance-based Gaze Estimation von Akgül, Burak, Şahin, Erol, Kalkan, Sinan

    Veröffentlicht 2026
    Inhaltsangabe: “… . To date, there is no comprehensive benchmark quantifying algorithmic bias in gaze estimation. This paper …”
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  8. 4248

    Strong Inapproximability for a Promise Rank Problem von Guruswami, Venkatesan, Ren, Xuandi, Tang, Shaoxuan

    Veröffentlicht 2026
    Inhaltsangabe: “… )}$, assuming NP doesn't have sub-exponential algorithms. In addition to being a basic problem, the hardness …”
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  9. 4249

    Eigen for Statistical and Machine Learning Computing: A Lightweight C++ Tutorial with Python Bindings von Lee, Seyoung, Bak, Kwan-Young

    Veröffentlicht 2026
    Inhaltsangabe: “… , to implement statistical and machine learning algorithms. The emphasis is practical rather than methodological …”
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  10. 4250

    braydennoh/FlocTrack: v1.0.0 — Manuscript submission von Brayden Noh

    Veröffentlicht 2026
    Inhaltsangabe: “… ;ul> <li>FlocTrack video tracking algorithm</li> <li>Experimental data (6 flume …”
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    Recurso digital
  11. 4251

    Moderately Mighty: To What Extent Can Internal Software Metrics Predict App Popularity at Launch? von Opu, Md Nahidul Islam, Mouri, Fatima Islam, Kazman, Rick, Cai, Yuanfang, Chowdhury, Shaiful

    Veröffentlicht 2025
    Inhaltsangabe: “… the extent to which internal software metrics, measurable from source code before deployment, can predict …”
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  12. 4252

    Determinantal Point Process Attention Over Grid Cell Code Supports Out of Distribution Generalization von Mondal, Shanka Subhra, Frankland, Steven, Webb, Taylor, Cohen, Jonathan D.

    Veröffentlicht 2023
    Inhaltsangabe: “… . We describe a two-part algorithm that draws on specific features of neural computation to achieve OOD …”
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  13. 4253

    RAID Organizations for Improved Reliability and Performance: A Not Entirely Unbiased Tutorial von Thomasian, Alexander

    Veröffentlicht 2023
    Inhaltsangabe: “… are expected to replace HDDs as their prices drop. Replication in the form of mirrored disks and erasure coding …”
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  14. 4254

    Large-Language-Model Enabled Semantic Communication Systems von Wang, Zhenyi, Zou, Li, Wei, Shengyun, Li, Kai, Liao, Feifan, Mi, Haibo, Lai, Rongxuan

    Veröffentlicht 2024
    Inhaltsangabe: “… framework, named LLM-SC, that applies LLMs directly to the physical layer coding and decoding for the first …”
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  15. 4255

    FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting von Jiang, Liyao, Hassanpour, Negar, Salameh, Mohammad, Singamsetti, Mohan Sai, Sun, Fengyu, Lu, Wei, Niu, Di

    Veröffentlicht 2024
    Inhaltsangabe: “… to improve the faithfulness by optimizing the latent code, which potentially could cause the latent code …”
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  16. 4256

    ChatHTTPFuzz: Large Language Model-Assisted IoT HTTP Fuzzing von Yang, Zhe, Peng, Hao, Jiang, Yanling, Li, Xingwei, Du, Haohua, Wang, Shuhai, Liu, Jianwei

    Veröffentlicht 2024
    Inhaltsangabe: “… in parsing HTTP protocol data and analyzing code logic. Based on these findings, we propose a novel LLM …”
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  17. 4257

    QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation von Zhu, Yaoyu, Huang, Di, Lyu, Hanqi, Zhang, Xiaoyun, Li, Chongxiao, Shi, Wenxuan, Wu, Yutong, Mu, Jianan, Wang, Jinghua, Zhao, Yang, Jin, Pengwei, Cheng, Shuyao, Liang, Shengwen, Zhang, Xishan, Zhang, Rui, Du, Zidong, Guo, Qi, Hu, Xing, Chen, Yunji

    Veröffentlicht 2025
    Inhaltsangabe: “… , the scarcity of high-quality NL-code pairs, and the prohibitive computation cost of RLVR. To this end, we …”
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  18. 4258

    LLM-Powered Code Analysis and Optimization for Gaussian Splatting Kernels von Hu, Yi, Zhou, Huiyang

    Veröffentlicht 2025
    Inhaltsangabe: “… specialized real-world GPU kernels. We reveal the intricacies of using LLMs for code optimization and analyze …”
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  19. 4259

    Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study von Liu, Mingwei, Pei, Zheng, Wang, Yanlin, Wang, Zihao, Li, Zikang, Lin, Enci, Peng, Xin, Zheng, Zibin

    Veröffentlicht 2025
    Inhaltsangabe: “… sufficient pre-training exposure, resulting in poor code generation performance. Although they generally …”
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  20. 4260

    HCAG: Hierarchical Abstraction and Retrieval-Augmented Generation on Theoretical Repositories with LLMs von Wu, Yusen, Deng, Xiaotie

    Veröffentlicht 2026
    Inhaltsangabe: “… Existing Retrieval-Augmented Generation (RAG) methods for code struggle to capture the high-level …”
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