Suchergebnisse - distributed evolution (algorithm OR ((algorithmics OR algorithmics) OR algorithmics))

Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy von Xie, Yuankun, Fu, Ruibo, Wen, Zhengqi, Wang, Zhiyong, Wang, Xiaopeng, Cheng, Haonnan, Ye, Long, Tao, Jianhua

Inhaltsangabe: “… , the rapid evolution of deepfake algorithms poses a critical challenge in the accurate identification of out …”
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Approximate Message Passing for orthogonally invariant ensembles: Multivariate non-linearities and spectral initialization von Zhong, Xinyi, Wang, Tianhao, Fan, Zhou

Inhaltsangabe: “… practical implementation of this algorithm, where all debiasing and state evolution parameters are estimated …”
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CMA-ES with Radial Basis Function Surrogate for Black-Box Optimization von Khouzani, Farshid Farhadi, Mirzaei, Abdolreza, La Plante, Paul, Gewali, Laxmi

Inhaltsangabe: “… of Gaussian distribution for calculating evolution and its ability to adapt optimization parameters, which …”
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Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization von Faldor, Maxence, Lange, Robert Tjarko, Cully, Antoine

Inhaltsangabe: “… evolution. While these algorithms successfully foster diversity and innovation, their specific mechanisms …”
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Naively Sorting Evolving Data is Optimal and Robust von Giakkoupis, George, Kiwi, Marcos, Los, Dimitrios

Inhaltsangabe: “… of the algorithm is followed by a sequence of evolution steps, where an evolution step perturbs the rank of a …”
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Evolutionary Algorithms Approach For Search Based On Semantic Document Similarity von Muniyappa, Chandrashekar, Kim, Eujin

Inhaltsangabe: “… Computing Algorithms like Genetic, and Differential evolution algorithms. These algorithms are used …”
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Characterization and thermometry of dissapatively stabilized steady states von Grattan, George, Liguori-Schremp, Alek M., Pérez, David. Rodríguez, Graf, Peter, Jones, Wes, Kapit, Eliot

Inhaltsangabe: “… algorithms, exploring the extent to which they can be well approximated as thermal distributions …”
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Proving Distributed Coloring of Forests in Dynamic Networks von Faten Fakhfakh

Inhaltsangabe: “… to record the evolution of a network topology. In the second stage, we deal with distributed algorithms …”
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Application of Distributed Arithmetic to Adaptive Filtering Algorithms: Trends, Challenges and Future von Khan, Mohd. Tasleem

Inhaltsangabe: “… The utilization of distributed arithmetic (DA) in AF algorithms has gained significant attention …”
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Random State Approach to Quantum Computation of Electronic-Structure Properties von Bai, Yiran, Xiong, Feng, Kuang, Xueheng

Inhaltsangabe: “… . However, general and practical quantum algorithms for simulating large-scale materials are still lacking …”
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A Complex Network Analysis on The Eigenvalue Spectra of Random Spin Systems von Xue, Qiaomu, Rao, Wenjia

Inhaltsangabe: “… quantum systems as time-series, and corresponding algorithms such as singular-value-decomposition has …”
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Objective Conversion‐Based Multiobjective Evolutionary Algorithm for Optimal Design of Braced Steel Frame Structures von Shaoping Wan, Jianrong Pan, Junxian Zhao

Inhaltsangabe: “… Buildings ABSTRACT This study proposes a multiobjective evolutionary algorithm based on objective conversion …”
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Learning NEAT Emergent Behaviors in Robot Swarms von Rajbhandari, Pranav, Sofge, Donald

Inhaltsangabe: “… swarm algorithms to produce emergent behavior. Inspired by the biological evolution of emergent behavior …”
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Location-Informed Interference Suppression Precoding Methods for Distributed Massive MIMO Systems von Vanspranghels, Emiel, Oishi, Raquel Marina Noguera, Minucci, Franco, Pollin, Sofie

Inhaltsangabe: “… The evolution of mobile networks towards user-centric cell-free distributed Massive MIMO …”
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Generalized Schrödinger Bridge Matching von Liu, Guan-Horng, Lipman, Yaron, Nickel, Maximilian, Karrer, Brian, Theodorou, Evangelos A., Chen, Ricky T. Q.

Inhaltsangabe: “… Modern distribution matching algorithms for training diffusion or flow models directly prescribe …”
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Gradient descent inference in empirical risk minimization von Han, Qiyang, Xu, Xiaocong

Inhaltsangabe: “… Gradient descent is one of the most widely used iterative algorithms in modern statistical learning …”
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Asymptotic Dynamics of Alternating Minimization for Bilinear Regression von Okajima, Koki, Takahashi, Takashi

Inhaltsangabe: “… multi-temperature glassy system which unfolds the algorithm's time evolution. Our results show …”
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phase2: Full-State Vector Simulation of Quantum Time Evolution at Scale von Miller, Marek, Günther, Jakob, Witteveen, Freek, Teynor, Matthew S., Erakovic, Mihael, Reiher, Markus, Solomon, Gemma C., Christandl, Matthias

Inhaltsangabe: “… algorithms, establishing boundaries of quantum advantage and exploring heuristic quantum algorithms. We …”
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Last-Iterate Analyses of FTRL with the 1/2-Tsallis Entropy in Stochastic Bandits von Zhan, Jingxin, Han, Yuze, Zhang, Zhihua

Inhaltsangabe: “… The convergence analysis of online learning algorithms is central to machine learning theory, where …”
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Multi‐Strategy Fusion Binary Zebra Optimization Algorithm for Solving Complex Industrial Process Data Feature Selection and Prediction Models von Yi‐Peng Shang‐Guan, Jie‐Sheng Wang, Yong‐Cheng Sun, Yu‐Wei Song, Yu‐Liang Qi

Inhaltsangabe: “… algorithm, Frilled lizard optimization, Human evolution optimization algorithm, Coatis optimization …”
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