Suchergebnisse - distributed evolution (algorithmsssic OR algorithm)

Evolvable Conditional Diffusion von Wei, Zhao, Ooi, Chin Chun, Gupta, Abhishek, Wong, Jian Cheng, Chiu, Pao-Hsiung, Toh, Sheares Xue Wen, Ong, Yew-Soon

Inhaltsangabe: “… function through updates to the descriptive statistic for the denoising distribution, and derive …”
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Star-forming environments in smoothed particle magnetohydrodynamics simulations II: Re-simulating isolated clumps to determine equivalence of extracted clumps and parent simulation... von Wurster, James, Rowan, Connar

Inhaltsangabe: “… this, we modelled the evolution of 29 star forming clumps that were extracted from our previous simulations …”
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Measurement of the Depth of Maximum of Air-Shower Profiles with energies between $\mathbf{10^{18.5}}$ and $\mathbf{10^{20}}$ eV using the Surface Detector of the Pierre Auger Obser... von The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Dourado, L. Andrade, Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Čermáková, B., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Errico, B., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., do, J. A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Fehler, T., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filip, P., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Gherghel-Lascu, A., Ghia, P. L., Giaccari, U., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Jilek, V., Johnsen, J. A., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reininghaus, M., Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Simkova, K., Simon, F., Smau, R., Šmída, R., Sommers, P., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., Zavrtanik, M.

Inhaltsangabe: “… (1 EeV=$10^{18}$ eV) using the distributions of the depth of shower maximum $X_\mathrm{max …”
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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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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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Quantum Monte Carlo simulations for financial risk analytics: scenario generation for equity, rate, and credit risk factors von Matsakos, Titos, Nield, Stuart

Inhaltsangabe: “… . simulation of the risk factor evolution over time to generate probability distributions -- into the quantum …”
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Regional Deformation Anomaly Assessment of Arch Dam Considering the Extreme Value Distribution of Deviations von Xudong Chen, Qinghe Lu, Liuyang Li, Hongdi Guo, Yu Deng, Jinjun Guo, Chongshi Gu, Xing Liu

Inhaltsangabe: “… Control and Health Monitoring The evolution pattern of dam deformation reflects its structural response …”
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Natural Variational Annealing for Multimodal Optimization von LeMinh, Tâm, Arbel, Julyan, Möllenhoff, Thomas, Khan, Mohammad Emtiyaz, Forbes, Florence

Inhaltsangabe: “… exploration for exploitation. Finally, it learns the variational search distribution using natural-gradient …”
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Lévy-Khintchine Structure Enables Fast-Forwardable Lindbladian Simulation von Gao, Minbo, Ji, Zhengfeng, Liu, Chenghua

Inhaltsangabe: “… and symmetric stable distributions and their algorithmic implications. These give wide classes of Lindbladians …”
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Quantum Markov Chain Monte Carlo for Cosmological Functions von Sarracino, Giuseppe, Cardone, Vincenzo Fabrizio, Scaramella, Roberto, Riccio, Giuseppe, Bulgarelli, Andrea, Burigana, Carlo, Cappelli, Luca, Cavuoti, Stefano, Farsian, Farida, Graziotti, Irene, Meneghetti, Massimo, Murante, Giuseppe, Parmiggiani, Nicolò, Rizzo, Alessandro, Schillirò, Francesco, Testa, Vincenzo, Trombetti, Tiziana

Inhaltsangabe: “… with an application to cosmological functions, to derive posterior distributions from cosmological probes …”
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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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Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder von Chang, Dongxu, Peng, Qingqing, Ma, Zhiming, Wang, Guanghui, Yin, Dawei

Inhaltsangabe: “… , on the BI-AWGN channel, we apply and improve the Gaussian approximation algorithm in the density evolution …”
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Stein Variational Evolution Strategies von Braun, Cornelius V., Lange, Robert T., Toussaint, Marc

Inhaltsangabe: “… an unnormalized probability distribution. However, the SVGD update relies on gradients of the log-density, which …”
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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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Minimizing and Maximizing the Shannon Entropy for Fixed Marginals von Franke, Paula, Hamacher, Kay, Manns, Paul

Inhaltsangabe: “… in data analysis. The Shannon entropy of a joint probability distribution is the variable part under fixed …”
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Workload Schedulers -- Genesis, Algorithms and Differences von Sliwko, Leszek, Getov, Vladimir

Inhaltsangabe: “… Schedulers and Big Data Schedulers. We describe their evolution from early adoptions to modern …”
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Quantum computation in fermionic thermal field theories von Qian, Wenyang, Wu, Bin

Inhaltsangabe: “… alongside the quantum algorithms such as quantum imaginary time evolutions employed to evaluate thermal …”
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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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Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents von Fan, Zhiyuan, Jin, Wenwei, Zhang, Feng, Li, Bin, Dong, Yihong, Hu, Yao, Li, Jiawei

Inhaltsangabe: “… reinforcement learning, they still fail to treat self-evolution as a unified process to be jointly optimized …”
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Decentralized Localization of Distributed Antenna Array Elements Using an Evolutionary Algorithm von Dula, Matthew J., Shandi, Naim, Nanzer, Jeffrey A.

Inhaltsangabe: “… -convex optimization problem, and define the differential evolution algorithm which searches the solution …”
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