Risultati della ricerca - distributed evolution (algorithm OR algorithmics)

Toward selective quantum advantage in hadronic tomography:explicit cases from Compton form factors, GPDs, TMDs, and GTMDs di Fernando, I. P., Keller, D.

Sommario: “..., we analyze why Compton form factors (CFF), generalized parton distributions (GPDs), Transverse...”
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Convergence and stability of a micro-macro acceleration method:linear slow-fast stochastic differential equations with additive noise di Zieliński, Przemysław, Vandecasteele, Hannes, Samaey, Giovanni

Sommario: “...We analyse the convergence and stability of a micro-macro acceleration algorithm for Monte Carlo...”
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SciJava Ops: An Improved Algorithms Framework for Fiji and Beyond di Selzer, Gabriel J., Rueden, Curtis T., Hiner, Mark C., Evans III, Edward L., Kolb, David, Wiedenmann, Marcel, Birkhold, Christian, Buchholz, Tim-Oliver, Helfrich, Stefan, Northan, Brian, Walter, Alison, Schindelin, Johannes, Pietzsch, Tobias, Saalfeld, Stephan, Berthold, Michael R., Eliceiri, Kevin W.

Sommario: “... present SciJava Ops, a foundational software library for expressing algorithms as plugins in a unified...”
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Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder di Chang, Dongxu, Peng, Qingqing, Ma, Zhiming, Wang, Guanghui, Yin, Dawei

Sommario: “..., on the BI-AWGN channel, we apply and improve the Gaussian approximation algorithm in the density evolution...”
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Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning di Yang, Danni, Chen, Zhikang, Cui, Sen, Yang, Mengyue, Li, Ding, Wuerkaixi, Abudukelimu, Li, Haoxuan, Ren, Jinke, Gong, Mingming

Sommario: “... cooperation. We also propose a merge-blocking algorithm and a dynamic cooperative evolution algorithm...”
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Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Optimization di Soltes, Julian

Sommario: “..., with exponential expansion of the search space rapidly causing traditional algorithms to become inefficient...”
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Multi-Objective Optimization for Synthetic-to-Real Style Transfer di Chigot, Estelle, Oberlin, Thomas, Huguenin, Manon, Wilson, Dennis

Sommario: “... genetic algorithms, we optimize pipelines to balance structural coherence and style similarity to target...”
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Identifying Subcascades From The Primary Damage State Of Collision Cascades di Bhardwaj, Utkarsh, Warrier, Manoj

Sommario: “... of defects and their distribution. While the number of subcascades is an essential parameter to describe...”
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Quantum Image Visualizer: Visual Debugging of Quantum Image Processing Circuits di Heim, Anja, Lang, Thomas, Gall, Alexander, Gröller, Eduard, Heinzl, Christoph

Sommario: “... to offer significant advantages in algorithm execution over classical approaches. This potential...”
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Generating Dark Matter Subhalo Populations Using Normalizing Flows di Lonergan, Jack, Benson, Andrew, Gilman, Daniel

Sommario: “... algorithm accurately reproduces the Galacticus subhalo distribution while significantly reducing computation...”
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A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain di Pfreundschuh, Simon, Arulraj, Malarvizhi, Behrangi, Ali, Bogerd, Linda, Calheiros, Alan James Peixoto, Casella, Daniele, Dolatabadi, Neda, Guilloteau, Clement, Gong, Jie, Kummerow, Christian D., Kirstetter, Pierre, Lee, Gyuwon, Maahn, Maximilian, Milani, Lisa, Panegrossi, Giulia, Palharini, Rayana, Petković, Veljko, Ryu, Soorok, Sanò, Paolo, Tan, Jackson

Sommario: “...Accurately tracking the global distribution and evolution of precipitation is essential for both...”
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P^2O: Joint Policy and Prompt Optimization di Lu, Xinyu, Zhang, Kaiqi, Yang, Jinglin, Cao, Boxi, Lu, Yaojie, Lin, Hongyu, He, Min, Han, Xianpei, Sun, Le

Sommario: “... by alternating continuous policy updates with discrete prompt evolution. P$^2$O leverages the GEPA algorithm...”
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Quantum Walks-Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration di Chang, Yen-Jui, Wang, Wei-Ting, Liu, Chen-Yu, Wang, Yun-Yuan, Chang, Ching-Ray

Sommario: “... to generate high precision and efficiency of target probability distributions. Our method integrates...”
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Distributed Time-Varying Gaussian Regression via Kalman Filtering di Taddei, Nicola, Maggioni, Riccardo, Eising, Jaap, De Pasquale, Giulia, Dorfler, Florian

Sommario: “..., and propose a new algorithm, DistKP, to track the time-varying coefficients via a distributed Kalman filter...”
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Artificial Immune Systems for Industrial Intrusion Detection: A Systematic Review and Conceptual Framework di Soodeh Hosseini, Hossein Seilani, Mina Heidary

Sommario: “... environments, driving advancements in autonomy, flexibility, and interconnectedness. However, this evolution...”
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Sample-efficient estimation of entanglement entropy through supervised learning di Rieger, Maximilian, Reh, Moritz, Gärttner, Martin

Sommario: “... algorithms. For states that are contained in the training distribution, we observe convergence in a regime...”
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A Stochastic Differential Equation Framework for Modeling Queue Length Dynamics Inspired by Self-Similarity di Mustavee, Shakib, Agarwal, Shaurya, Singh, Arvind

Sommario: “...This article develops a stochastic differential equation (SDE) for modeling the temporal evolution...”
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Bayesian inference of mixed Gaussian phylogenetic models di Brahmantio, Bayu, Bartoszek, Krzysztof, Yapar, Etka

Sommario: “...Background: Continuous traits evolution of a group of taxa that are correlated through a...”
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Application of Sooty Tern Optimization Algorithm on Solar‐Wind‐Battery‐Thermal Integrated Dynamic Economic Emission Dispatch Problems di Sudip Kumar Ghorui, Koustav Dasgupta, Sakti Prasad Ghoshal

Sommario: “... search algorithm, differential evolution, and particle swarm optimization. 10.1002/oca.3241 http...”
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Regional Deformation Anomaly Assessment of Arch Dam Considering the Extreme Value Distribution of Deviations di Xudong Chen, Qinghe Lu, Liuyang Li, Hongdi Guo, Yu Deng, Jinjun Guo, Chongshi Gu, Xing Liu

Sommario: “... Control and Health Monitoring The evolution pattern of dam deformation reflects its structural response...”
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