Risultati della ricerca - coding ((algorithmics OR algorithmics) OR (algorithm OR (algorithm OR algorithmssicsics)))

  1. 581

    Exact Decoding of Repetition Code under Circuit Level Noise di Cao, Hanyan, Zhao, Shoukuan, Feng, Dongyang, Shen, Zisong, Yan, Haisheng, Su, Tang, Sun, Weijie, Xu, Huikai, Pan, Feng, Yu, Haifeng, Zhang, Pan

    Pubblicazione 2025
    Sommario: “...Repetition code forms a fundamental basis for quantum error correction experiments. To date...”
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    Preprint
  2. 582

    GraphFuzz: Automated Testing of Graph Algorithm Implementations with Differential Fuzzing and Lightweight Feedback di Yan, Wenqi, Rigger, Manuel, Wirth, Anthony, Pham, Van-Thuan

    Pubblicazione 2025
    Sommario: “... automatically generated graphs (less than 10) could be enough to cover the code of many graph algorithm...”
    Testo
    Preprint
  3. 583

    Privacy in Cloud Computing through Immersion-based Coding di Hayati, Haleh, van de Wouw, Nathan, Murguia, Carlos

    Pubblicazione 2024
    Sommario: “... concerns. Here, we present a synthesis framework to design coding mechanisms that allow sharing...”
    Testo
    Preprint
  4. 584

    On the Fair Comparison of Optimization Algorithms in Different Machines di Arza, Etor, Ceberio, Josu, Irurozki, Ekhiñe, Pérez, Aritz

    Pubblicazione 2023
    Sommario: “..., the implementation code of the algorithms is not always available, which means that running the algorithms...”
    Testo
    Preprint
  5. 585

    Exploring Bridges Between Algorithmic and AI-generated Art di Wu, Jiaqi, Adar, Eytan

    Pubblicazione 2024
    Sommario: “...In this paper, we bridge algorithmic and AI art by adding functionality to the creative coding...”
    Testo
    Preprint
  6. 586

    A Fast Decoding Algorithm for Generalized Reed-Solomon Codes and Alternant Codes di Tang, Nianqi, Han, Yunghsiang S., Pei, Danyang, Chen, Chao

    Pubblicazione 2025
    Sommario: “... the binary Goppa code with length $8192$ and correction capability $128$, the new algorithm is nearly 10...”
    Testo
    Preprint
  7. 587

    Iterative Method for Tuning Complex Simulation Code di Seo, Yun Am, Lee, Youngsaeng, Park, Jeong-Soo

    Pubblicazione 2020
    Sommario: “... algorithm, the parameters of the simulation code and GP metamodel are alternatively re-estimated and updated...”
    Testo
    Preprint
  8. 588

    Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory di Masuyama, Naoki, Nojima, Yusuke, Toda, Yuichiro, Loo, Chu Kiong, Ishibuchi, Hisao, Kubota, Naoyuki

    Pubblicazione 2023
    Sommario: “... learning methods have been proposed. In the clustering domain, various algorithms with a federated learning...”
    Testo
    Preprint
  9. 589
  10. 590

    Optimal Decoding with the Worm di Tobias, Zac, Breuckmann, Nikolas P., Placke, Benedikt

    Pubblicazione 2026
    Sommario: “...We propose a new decoder for "matchable'' qLDPC codes that uses a Markov Chain Monte Carlo...”
    Testo
    Preprint
  11. 591

    Towards a Systems Theory of Algorithms di Dörfler, Florian, He, Zhiyu, Belgioioso, Giuseppe, Bolognani, Saverio, Lygeros, John, Muehlebach, Michael

    Pubblicazione 2024
    Sommario: “...Traditionally, numerical algorithms are seen as isolated pieces of code confined to an {\em...”
    Testo
    Preprint
  12. 592

    The Definitive Guide to Policy Gradients in Deep Reinforcement Learning: Theory, Algorithms and Implementations di Lehmann, Matthias

    Pubblicazione 2024
    Sommario: “...In recent years, various powerful policy gradient algorithms have been proposed in deep...”
    Testo
    Preprint
  13. 593

    Engineering Quantum Error Correction Codes Using Evolutionary Algorithms di Webster, Mark, Browne, Dan

    Pubblicazione 2024
    Sommario: “... present a novel evolutionary algorithm which searches for an optimal stabiliser code for a given error...”
    Testo
    Preprint
  14. 594

    Quantum Sieving for Code-Based Cryptanalysis and Its Limitations for ISD di Engelberts, Lynn, Etinski, Simona, Loyer, Johanna

    Pubblicazione 2024
    Sommario: “... of the quantum algorithms with numerical results, and observe that our quantum speed-ups for code sieving behave...”
    Testo
    Preprint
  15. 595

    LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI di van Stein, Niki, Kononova, Anna V., Kotthoff, Lars, Bäck, Thomas

    Pubblicazione 2026
    Sommario: “... that signals derived from code can effectively bias LLM-driven algorithm evolution, bridging the gap between...”
    Testo
    Preprint
  16. 596

    Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation di Wu, Xingyu, Zhong, Yan, Wu, Jibin, Jiang, Bingbing, Tan, Kay Chen

    Pubblicazione 2023
    Sommario: “... Language Models (LLMs) into algorithm selection for the first time. By comprehending the code text, LLM...”
    Testo
    Preprint
  17. 597

    Exploring Dynamic Load Balancing Algorithms for Block-Structured Mesh-and-Particle Simulations in AMReX di Nanda, Amitash, Chowdhury, Md Kamal Hossain, Ross, Hannah, Gott, Kevin

    Pubblicazione 2025
    Sommario: “... algorithms evaluated by HPC codes for cases with limited weight deviation and will perform at least slightly...”
    Testo
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  18. 598

    ExPairT-LLM: Exact Learning for LLM Code Selection by Pairwise Queries di Yuviler, Tom, Drachsler-Cohen, Dana

    Pubblicazione 2025
    Sommario: “... input. We present ExPairT-LLM, an exact learning algorithm for code selection that selects a program...”
    Testo
    Preprint
  19. 599

    Adaptive Perturbation Enhanced SCL Decoder for Polar Codes di Wang, Xianbin, Zhang, Huazi, Tong, Jiajie, Wang, Jun, Tong, Wen

    Pubblicazione 2024
    Sommario: “...For polar codes, successive cancellation list (SCL) decoding algorithm significantly improves...”
    Testo
    Preprint
  20. 600

    LLM-Meta-SR: In-Context Learning for Evolving Selection Operators in Symbolic Regression di Zhang, Hengzhe, Chen, Qi, Xue, Bing, Banzhaf, Wolfgang, Zhang, Mengjie

    Pubblicazione 2025
    Sommario: “... in existing LLM-based algorithm evolution techniques: lack of semantic guidance and code bloat. The absence...”
    Testo
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