Resultados de búsqueda - distributed evolution (algorithm OR ((algorithmics OR algorithmics) OR algorithmics))

  1. 381

    Federated Continual Learning for Privacy-Preserving Hospital Imaging Classification por Sinhal, Anay, Sinhal, Arpana, Sinhal, Amit

    Publicado 2026
    Tabla de Contenidos: “… algorithms typically assume a static data distribution. In practice, hospitals experience continual evolution…”
    Enlace del recurso
    Preprint
  2. 382
  3. 383

    A Generative Adversarial Graph Neural Network for Synthetic Time Series Data por Gregnanin, Marco, De Smedt, Johannes, Gnecco, Giorgio, Parton, Maurizio

    Publicado 2026
    Tabla de Contenidos: “… distributions. GANs employ a generator-discriminator framework, where the generator creates data samples, while…”
    Enlace del recurso
    Preprint
  4. 384

    A NISQ-Aware Hybrid Quantum-Classical Framework for Scalable Combinatorial Optimization por Ding, Haolong, Wu, Mohan, Xu, Yin, Xu, Hua

    Publicado 2026
    Tabla de Contenidos: “… optimization as a resource-bounded distribution evolution process. Instead of directly optimizing individual…”
    Enlace del recurso
    Preprint
  5. 385

    Charting the Intelligence Frontiers – Edge AI Systems Nexus

    Publicado 2026
    Tabla de Contenidos: “… the complexities of advanced algorithms and the design of novel edge AI hardware accelerators to the architecture…”
    Enlace del recurso
    Libro electrónico
  6. 386

    Nonlinear dynamics for the Ising model por Caputo, Pietro, Sinclair, Alistair

    Publicado 2023
    Tabla de Contenidos: “… the evolution of systems of entities under pairwise interactions, and captures a number of important nonlinear…”
    Enlace del recurso
    Preprint
  7. 387

    Tensor-Parallel Emulation of Quantum Circuits with Block-Cyclic Distributed Matrix Product States por Adamski, Jakub, Brown, Oliver Thomson

    Publicado 2025
    Tabla de Contenidos: “… algorithms based on dense tensor networks, offering a scalable and naturally load-balanced distribution…”
    Enlace del recurso
    Preprint
  8. 388

    Global attractors and fast-slow reduction for finite-state actor-critic mean dynamics por Prytula, Vladyslav

    Publicado 2026
    Tabla de Contenidos: “…When a learning algorithm reshapes the data distribution it trains on, the long-run behavior…”
    Enlace del recurso
    Preprint
  9. 389

    Evolution and The Knightian Blindspot of Machine Learning por Lehman, Joel, Meyerson, Elliot, El-Gaaly, Tarek, Stanley, Kenneth O., Ziyaee, Tarin

    Publicado 2025
    Tabla de Contenidos: “…), with the process of biological evolution. Despite staggering ongoing progress, RL still struggles in open-world…”
    Enlace del recurso
    Preprint
  10. 390

    Simple Opinion Dynamics for No-Regret Learning por Lazarsfeld, John, Alistarh, Dan

    Publicado 2023
    Tabla de Contenidos: “…We study a cooperative multi-agent bandit setting in the distributed GOSSIP model: in every round…”
    Enlace del recurso
    Preprint
  11. 391

    Phase transitions in sampling and error correction in local Brownian circuits por Sahu, Subhayan, Jian, Shao-Kai

    Publicado 2023
    Tabla de Contenidos: “… Brownian circuits. The dynamics of circuit averaged moments of the probability distribution and entropies…”
    Enlace del recurso
    Preprint
  12. 392
  13. 393

    FilterPrompt: A Simple yet Efficient Approach to Guide Image Appearance Transfer in Diffusion Models por Wang, Xi, Peng, Yichen, Fang, Heng, Wang, Yilin, Xie, Haoran, Yang, Xi, Li, Chuntao

    Publicado 2024
    Tabla de Contenidos: “… within feature space. However, the complex distribution present in real-world data often makes…”
    Enlace del recurso
    Preprint
  14. 394

    Poor-Supervised Evaluation for SuperLLM via Mutual Consistency por Yuan, Peiwen, Feng, Shaoxiong, Li, Yiwei, Wang, Xinglin, Pan, Boyuan, Wang, Heda, Hu, Yao, Li, Kan

    Publicado 2024
    Tabla de Contenidos: “… between it and certain reference model, when their prediction distributions are independent and the sample…”
    Enlace del recurso
    Preprint
  15. 395

    Machine learning based stellar classification with highly sparse photometry data por Cody, Sean Enis, Scher, Sebastian, McDonald, Iain, Zijlstra, Albert, Alexander, Emma, Cox, Nick L. J.

    Publicado 2024
    Tabla de Contenidos: “…) method XGBoost and the PySSED spectral-energy-distribution fitting algorithm to classify stars into nine…”
    Enlace del recurso
    Preprint
  16. 396

    Stellar parameters, extinction, and distances for stars in SMSS DR2 by SPar method por Sun, Mingxu, Chen, Bingqiu, Sun, Baokun, Wang, Tao, Yu, Zheng, Zhang, Baisong, Zhang, Lin, Bao, Yuxi, Zeng, Guangya, Yang, Ming, Cui, Wenyuan

    Publicado 2025
    Tabla de Contenidos: “… understanding of the Galaxy's stellar populations, structure, kinematics, and chemical evolution. In this study…”
    Enlace del recurso
    Preprint
  17. 397
  18. 398

    INSIGHT: A Survey of In-Network Systems for Intelligent, High-Efficiency AI and Topology Optimization por Algazinov, Aleksandr, Chandra, Joydeep, Laing, Matt

    Publicado 2025
    Tabla de Contenidos: “… in-network computation for AI, exploring the evolution of programmable network architectures…”
    Enlace del recurso
    Preprint
  19. 399

    Probing jet-medium interactions via jet substructure observables in relativistic heavy-ion collisions por Duan, Xiang-Pan, Luo, Tan, Ma, Guo-Liang

    Publicado 2025
    Tabla de Contenidos: “…}}$) are reconstructed using the Soft Drop algorithm with two grooming parameter settings. With $z_\text{cut} = 0.1…”
    Enlace del recurso
    Preprint
  20. 400

    Adacc: An Adaptive Framework Unifying Compression and Activation Recomputation for LLM Training por Chen, Ping, Deng, Zhuohong, Li, Ping, He, Shuibing, Zhu, Hongzi, Zheng, Yi, Wang, Zhefeng, Huai, Baoxing, Guo, Minyi

    Publicado 2025
    Tabla de Contenidos: “… challenges: (1) it introduces layer-specific compression algorithms that mitigate accuracy loss by accounting…”
    Enlace del recurso
    Preprint