Search Results - coding ((algorithmics OR algorithmssic) OR algorithm)

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  1. 2121

    Beyond Local Selection: Global Cut Selection for Enhanced Mixed-Integer Programming by Zeng, Shuli, Zhang, Sijia, Li, Shaoang, Wu, Feng, Li, Xiang-Yang

    Published 2025
    Table of Contents: “…) algorithms as they reduce the search space and accelerate the solving process. Traditional methods rely…”
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  2. 2122

    Serinv: A Scalable Library for the Selected Inversion of Block-Tridiagonal with Arrowhead Matrices by Maillou, Vincent, Gaedke-Merzhaeuser, Lisa, Ziogas, Alexandros Nikolaos, Schenk, Olaf, Luisier, Mathieu

    Published 2025
    Table of Contents: “… algorithms, capable of computing only specific elements of the full inverse. Currently, most of them…”
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  3. 2123

    Curriculum Design of Competitive Programming: a Contest-based Approach by Luo, Zhongtang

    Published 2025
    Table of Contents: “…' observational skills, algorithmic techniques, and efficient coding and debugging practices. We outline a…”
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  4. 2124

    Latent Mode Decomposition by Morante, Manuel, Rehman, Naveed ur

    Published 2025
    Table of Contents: “…We introduce Variational Latent Mode Decomposition (VLMD), a new algorithm for extracting…”
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  5. 2125

    ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering by Imajuku, Yuki, Horie, Kohki, Iwata, Yoichi, Aoki, Kensho, Takahashi, Naohiro, Akiba, Takuya

    Published 2025
    Table of Contents: “…How well do AI systems perform in algorithm engineering for hard optimization problems in domains…”
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  6. 2126

    ObjectRL: An Object-Oriented Reinforcement Learning Codebase by Baykal, Gulcin, Akgül, Abdullah, Haussmann, Manuel, Tasdighi, Bahareh, Werge, Nicklas, Wu, Yi-Shan, Kandemir, Melih

    Published 2025
    Table of Contents: “… the implementation, modification, and evaluation of new algorithms. ObjectRL lowers the entry barrier for deep RL…”
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  7. 2127

    A Differential Evolution Algorithm with Neighbor-hood Mutation for DOA Estimation by Zhou, Bo, Xu, Kaijie, Quan, Yinghui, Xing, Mengdao

    Published 2025
    Table of Contents: “…Two-dimensional (2D) Multiple Signal Classification algorithm is a powerful technique for high…”
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  8. 2128

    Metrics on Permutation Families Defined by a Restriction Graph by Tymoshenko, Danylo, Nagel, Leonhard

    Published 2025
    Table of Contents: “… applications in social choice theory, bioinformatics, and coding theory. We study permutation families defined…”
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  9. 2129

    Direction of Arrival Estimation with Virtual Antenna Array Using FMCW Radar Simulated Data by Kurtoglu, Emre, Rahman, Mohammad Mahbubur

    Published 2025
    Table of Contents: “… poor angular resolution when compared with others which are both super resolution algorithms. The code…”
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  10. 2130

    DiffAero: A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning by Zhang, Xinhong, Wang, Runqing, Ren, Yunfan, Sun, Jian, Fang, Hao, Chen, Jie, Wang, Gang

    Published 2025
    Table of Contents: “… platform for exploring differentiable and hybrid learning algorithms. Extensive benchmarks and real-world…”
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  11. 2131

    Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications by Seifert, Daniel, Günlü, Onur, Schaefer, Rafael F.

    Published 2025
    Table of Contents: “… (BP) algorithm, which is the typically used training procedure for neural networks. Among its several…”
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  12. 2132

    Breaking the Static Assumption: A Dynamic-Aware LIO Framework Via Spatio-Temporal Normal Analysis by Zhiqiang, Chen, Cedric, Le Gentil, Fuling, Lin, Minghao, Lu, Qiyuan, Qiao, Bowen, Xu, Yuhua, Qi, Peng, Lu

    Published 2025
    Table of Contents: “… conventional methods often fail due to their static-world assumptions. Traditional LIO algorithms perform…”
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  13. 2133

    Adaptive Cooperative Transmission Design for Ultra-Reliable Low-Latency Communications via Deep Reinforcement Learning by Yu, Hyemin, Yang, Hong-Chuan

    Published 2025
    Table of Contents: “… and coding scheme, for reliable packet transmission within a strict latency constraint. We formulate the hop…”
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  14. 2134

    Multi-View Consistent Wound Segmentation With Neural Fields by Chierchia, Remi, Lebrat, Léo, Ahmedt-Aristizabal, David, Arzhaeva, Yulia, Salvado, Olivier, Fookes, Clinton, Cruz, Rodrigo Santa

    Published 2026
    Table of Contents: “… rasterisation-based algorithms. The code will be released to facilitate further development in this promising…”
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  15. 2135

    A Model-Driven Lossless Compression Algorithm Resistant to Mismatch by Hu, Cordelia, Tang, Jennifer

    Published 2026
    Table of Contents: “… models, such as large language models (LLMs), can be combined with entropy coding to achieve compression…”
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  16. 2136

    Alternating ZX Circuit Extraction for Hardware-Adaptive Compilation by Schmid, Ludwig, Staudacher, Korbinian, Wille, Robert

    Published 2026
    Table of Contents: “… and evaluating them based on hardware constraints, allowing the routing algorithm to inform and guide…”
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  17. 2137

    TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning by Lee, Hayeong, Oh, JunHyeok, Lee, Byung-Jun

    Published 2026
    Table of Contents: “… of cooperative multi-agent reinforcement learning (MARL) algorithms. While existing benchmarks highlight critical…”
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  18. 2138

    Multi Graph Search for High-Dimensional Robot Motion Planning by Mishani, Itamar, Likhachev, Maxim

    Published 2026
    Table of Contents: “… algorithms have enhanced scalability to high-dimensional state spaces, these improvements often come…”
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  19. 2139

    Towards The Implicit Bias on Multiclass Separable Data Under Norm Constraints by Xie, Shengping, Wu, Zekun, Chen, Quan, Tang, Kaixu

    Published 2026
    Table of Contents: “…Implicit bias induced by gradient-based algorithms is essential to the generalization…”
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  20. 2140

    Transmission Topology Optimization using accelerated MapElites by Westerbeck, Nico, Hilfrich, Leonard, Witthaut, Dirk

    Published 2026
    Table of Contents: “… to speed up computations. In a genetic algorithm setting, topologies are randomly mutated and evaluated…”
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