Search Results - distributed evolution ((algorithm OR algorithmics) OR (Algorithmsssssic OR algorithmsssssssic))

  1. 81

    Probabilistic Safety Guarantee for Stochastic Control Systems Using Average Reward MDPs by Omidi, Saber, Petrik, Marek, Yoon, Se Young, Begum, Momotaz

    Published 2025
    Table of Contents: “… distribution, aims to compute policies that satisfy predefined operational constraints with high confidence…”
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  2. 82

    Gradient descent inference in empirical risk minimization by Han, Qiyang, Xu, Xiaocong

    Published 2024
    Table of Contents: “…Gradient descent is one of the most widely used iterative algorithms in modern statistical learning…”
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  3. 83

    A convex approach for Markov chain estimation from aggregate data via inverse optimal transport by Mascherpa, Michele, Ringh, Axel, Taghvaei, Amirhossein, Karlsson, Johan

    Published 2025
    Table of Contents: “…We address the problem of identifying the dynamical law governing the evolution of a population…”
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  4. 84

    Application of Distributed Arithmetic to Adaptive Filtering Algorithms: Trends, Challenges and Future by Khan, Mohd. Tasleem

    Published 2024
    Table of Contents: “…The utilization of distributed arithmetic (DA) in AF algorithms has gained significant attention…”
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  5. 85

    On Adversary Robust Consensus protocols through joint-agent interactions by Angeli, David, Manfredi, Sabato

    Published 2019
    Table of Contents: “…. These are distributed algorithms for multi-agents systems seeking to agree on a common value of a shared variable, even…”
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  6. 86

    Non-iterative Optimization Algorithm for Active Distribution Grids Considering Uncertainty of Feeder Parameters by Wu, J., Liu, M., Lu, W., Xie, K., Xie, M.

    Published 2021
    Table of Contents: “…To cope with fast-fluctuating distributed energy resources (DERs) and uncontrolled loads…”
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  7. 87

    Algorithmic Advances Towards a Realizable Quantum Lattice Boltzmann Method by Tiwari, Apurva, Iaconis, Jason, Jojo, Jezer, Ray, Sayonee, Roetteler, Martin, Hill, Chris, Pathak, Jay

    Published 2025
    Table of Contents: “… evolution of a 2D Gaussian initial density distribution subject to a uniform advection-diffusion field…”
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  8. 88

    Quantum computing of nonlinear reacting flows via the probability density function method by Zhang, Jizhi, Yang, Ziang, Meng, Zhaoyuan, Lu, Zhen, Yang, Yue

    Published 2025
    Table of Contents: “… priori test confirms the accuracy of the measurement algorithm on beta distributions with known…”
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  9. 89

    Learning NEAT Emergent Behaviors in Robot Swarms by Rajbhandari, Pranav, Sofge, Donald

    Published 2023
    Table of Contents: “… swarm algorithms to produce emergent behavior. Inspired by the biological evolution of emergent behavior…”
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  10. 90

    Determining probability density functions with adiabatic quantum computing by Robbiati, Matteo, Cruz-Martinez, Juan M., Carrazza, Stefano

    Published 2023
    Table of Contents: “… to each other. In this work, we present a method for fitting one-dimensional probability distributions…”
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  11. 91

    Natural Variational Annealing for Multimodal Optimization by LeMinh, Tâm, Arbel, Julyan, Möllenhoff, Thomas, Khan, Mohammad Emtiyaz, Forbes, Florence

    Published 2025
    Table of Contents: “… exploration for exploitation. Finally, it learns the variational search distribution using natural-gradient…”
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  12. 92

    Lévy-Khintchine Structure Enables Fast-Forwardable Lindbladian Simulation by Gao, Minbo, Ji, Zhengfeng, Liu, Chenghua

    Published 2025
    Table of Contents: “… and symmetric stable distributions and their algorithmic implications. These give wide classes of Lindbladians…”
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  13. 93

    Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach by Chen, Haoxuan, Ren, Yinuo, Min, Martin Renqiang, Ying, Lexing, Izzo, Zachary

    Published 2025
    Table of Contents: “… the evolution of the corresponding posterior distribution. This PDE includes a modified diffusion term and a…”
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  14. 94

    FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning by Bai, Yuxuan, Sun, Yuxuan, Chen, Tan, Chen, Wei, Zhou, Sheng, Niu, Zhisheng

    Published 2025
    Table of Contents: “…-and-divergence-aware scheduling algorithm that facilitates fast convergence of FEEL under dynamic data evolution…”
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  15. 95

    Distributed Quantum Dynamics on Near-Term Quantum Processors by Bohun, Vladyslav, Grandadam, Maxence, Koch-Janusz, Maciej

    Published 2025
    Table of Contents: “… on real IBM quantum devices. The algorithm allows to execute Hamiltonian evolution simulations for problem…”
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  16. 96

    Distributed optimization of Lindblad equations for large-scale cavity QED systems by Miao, Hui-hui

    Published 2026
    Table of Contents: “… algorithm enables distributed matrix exponentiation, though scalability is limited by cross-processor…”
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  17. 97

    Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems by Karris, Nicholas, Nikitopoulos, Evangelos A., Kevrekidis, Ioannis G., Lee, Seungjoon, Cloninger, Alexander

    Published 2024
    Table of Contents: “…We develop an Euler-type method to predict the evolution of a time-dependent probability measure…”
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  18. 98

    Last-Iterate Analyses of FTRL with the 1/2-Tsallis Entropy in Stochastic Bandits by Zhan, Jingxin, Han, Yuze, Zhang, Zhihua

    Published 2025
    Table of Contents: “…The convergence analysis of online learning algorithms is central to machine learning theory, where…”
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  19. 99

    Objective Conversion‐Based Multiobjective Evolutionary Algorithm for Optimal Design of Braced Steel Frame Structures by Shaoping Wan, Jianrong Pan, Junxian Zhao

    Published 2026
    Table of Contents: “… Buildings ABSTRACT This study proposes a multiobjective evolutionary algorithm based on objective conversion…”
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    Artículo Open Access
  20. 100

    Simulating Evolvability as a Learning Algorithm: Empirical Investigations on Distribution Sensitivity, Robustness, and Constraint Tradeoffs by Fidalgo, Nicholas, Ye, Puyuan

    Published 2025
    Table of Contents: “…The theory of evolvability, introduced by Valiant (2009), formalizes evolution as a constrained…”
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