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

Minimizing and Maximizing the Shannon Entropy for Fixed Marginals por Franke, Paula, Hamacher, Kay, Manns, Paul

Tabla de Contenidos: “… 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 por Sliwko, Leszek, Getov, Vladimir

Tabla de Contenidos: “… Schedulers and Big Data Schedulers. We describe their evolution from early adoptions to modern…”
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Computational General Relativity in the Wolfram Language using Gravitas II: ADM Formalism and Numerical Relativity por Gorard, Jonathan

Tabla de Contenidos: “… adaptive refinement algorithms based on hypergraph rewriting via Wolfram model evolution. Particular…”
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Identifying Subcascades From The Primary Damage State Of Collision Cascades por Bhardwaj, Utkarsh, Warrier, Manoj

Tabla de Contenidos: “… 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 por Heim, Anja, Lang, Thomas, Gall, Alexander, Gröller, Eduard, Heinzl, Christoph

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

Tabla de Contenidos: “… 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 por 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

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

Tabla de Contenidos: “… by alternating continuous policy updates with discrete prompt evolution. P$^2$O leverages the GEPA algorithm…”
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Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery por Gozeten, Halil Alperen, Zhang, Xuechen, Ildiz, Emrullah, Taga, Ege Onur, Javidi, Tara, Oymak, Samet

Tabla de Contenidos: “… evolution in most settings, with STA Best-Local providing the strongest in-distribution adaptation and STA…”
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Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents por Fan, Zhiyuan, Jin, Wenwei, Zhang, Feng, Li, Bin, Dong, Yihong, Hu, Yao, Li, Jiawei

Tabla de Contenidos: “… reinforcement learning, they still fail to treat self-evolution as a unified process to be jointly optimized…”
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Hillslope grain size variation across evolving landscapes linked to climate, tectonics and lithology por Tingan Li, Leonard S. Sklar, Nicole M. Gasparini

Tabla de Contenidos: “… in river networks, in turn, depends on the size distributions of rock particles produced by weathering…”
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Euclid preparation. XXXI. The effect of the variations in photometric passbands on photometric-redshift accuracy por Euclid Collaboration, Paltani, Stéphane, Coupon, J., Hartley, W. G., Alvarez-Ayllon, A., Dubath, F., Mohr, J. J., Schirmer, M., Cuillandre, J. -C., Desprez, G., Ilbert, O., Kuijken, K., Aghanim, N., Altieri, B., Amara, A., Auricchio, N., Baldi, M., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carbone, C., Cardone, V. F., Carretero, J., Castander, F. J., Castellano, M., Cavuoti, S., Cledassou, R., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Corcione, L., Courbin, F., Cropper, M., Da Silva, A., Degaudenzi, H., Dinis, J., Douspis, M., Dupac, X., Dusini, S., Farrens, S., Ferriol, S., Fosalba, P., Frailis, M., Franceschi, E., Franzetti, P., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Haugan, S. V., Hoekstra, H., Hornstrup, A., Hudelot, P., Jahnke, K., Kümmel, M., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kohley, R., Kubik, B., Kunz, M., Kurki-Suonio, H., Ligori, S., Lilje, P. B., Lloro, I., Maiorano, E., Mansutti, O., Marggraf, O., Markovic, K., Marulli, F., Massey, R., Masters, D. C., Maurogordato, S., McCracken, H. J., Medinaceli, E., Mei, S., Melchior, M., Meneghetti, M., Merlin, E., Meylan, G., Moresco, M., Moscardini, L., Munari, E., Niemi, S. -M., Nightingale, J., Padilla, C., Pasian, F., Pedersen, K., Percival, W. J., Pettorino, V., Polenta, G., Poncet, M., Popa, L. A., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Rossetti, E., Saglia, R., Sapone, D., Sartoris, B., Schneider, P., Secroun, A., Sirignano, C., Sirri, G., Skottfelt, J., Stanco, L., Starck, J. -L., Surace, C., Tallada-Crespí, P., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valentijn, E. A., Valenziano, L., Vassallo, T., Wang, Y., Zamorani, G., Zoubian, J., Andreon, S., Aussel, H., Bardelli, S., Bolzonella, M., Boucaud, A., Di Ferdinando, D., Farina, M., Graciá-Carpio, J., Lindholm, V., Maino, D., Mauri, N., Neissner, C., Scottez, V., Zucca, E., Baccigalupi, C., Ballardini, M., Biviano, A., Blanchard, A., Borgani, S., Borlaff, A. S., Burigana, C., Cabanac, R., Cappi, A., Carvalho, C. S., Casas, S., Castignani, G., Chambers, K., Cooray, A. R., Courtois, H. M., Cucciati, O., Davini, S., De Lucia, G., Dole, H., Escartin, J. A., Escoffier, S., Finelli, F., Fotopoulou, S., Ganga, K., George, K., Gozaliasl, G., Hildebrandt, H., Hook, I., Muñoz, A. Jimenez, Joachimi, B., Kansal, V., Keihanen, E., Kirkpatrick, C. C., Loureiro, A., Macias-Perez, J., Maggio, G., Magliocchetti, M., Maoli, R., Marcin, S., Martinelli, M., Martinet, N., Matthew, S., Maurin, L., Metcalf, R. B., Monaco, P., Morgante, G., Nadathur, S., Nucita, A. A., Patrizii, L., Pollack, J. E., Popa, V., Porciani, C., Potter, D., Pourtsidou, A., Pozzetti, L., Pöntinen, M., Reimberg, P., Sánchez, A. G., Sakr, Z., Sefusatti, E., Sereno, M., Mancini, A. Spurio, Stadel, J., Steinwagner, J., Teyssier, R., Valieri, C., Valiviita, J., van Mierlo, S. E., Veropalumbo, A., Viel, M., Weaver, J. R.

Tabla de Contenidos: “… extragalactic surveys. While the requirements on photo-zs for the study of galaxy evolution mostly pertain…”
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Accelerating FRB Search: Dataset and Methods por Guo, Xuerong, Wang, Han, Xiao, Yifan, Chen, Huaxi, Ke, Yinan, Miao, ChenChen, Wang, Pei, Li, Di, Jin, Chenwu, He, Ling, Feng, Yi, Zhang, Yongkun, Xu, Jiaying, Chen, Guangyong

Tabla de Contenidos: “… in studying the distribution and evolution of matter in the universe. FRBs can only be observed through radio…”
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The Genomic Code: The genome instantiates a generative model of the organism por Mitchell, Kevin J., Cheney, Nick

Tabla de Contenidos: “… encoded by the learning algorithm of evolution and decoded through the processes of development…”
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Generalized HMC using Nambu mechanics for lattice QCD por Lundstrum, Erik

Tabla de Contenidos: “…I describe a generalization of the hybrid Monte Carlo (HMC) algorithm in which the molecular…”
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Dynamic angular synchronization under smoothness constraints por Araya, Ernesto, Cucuringu, Mihai, Tyagi, Hemant

Tabla de Contenidos: “… smoothness condition on the evolution of the latent angles, we derive three algorithms for joint estimation…”
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Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control por Valadas, Ricardo, Stölzle, Maximilian, Liu, Jingyue, Della Santina, Cosimo

Tabla de Contenidos: “… with an algorithm that uses image data (i.e., shape evolutions) to determine the minimal necessary segments…”
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Monte Carlo simulations of drop growth by coalescence and collision-induced breakup por L. Alfonso

Tabla de Contenidos: “… simulation A Monte Carlo framework to simulate the evolution of drop spectra by coalescence and collision…”
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QoS‐enhanced load balancing strategies for metaverse‐infused VR/AR in engineering education 5.0 por Kiran Deep Singh, Prabh Deep Singh

Tabla de Contenidos: “… Kiran Deep Singh Prabh Deep Singh Computer Applications in Engineering Education AbstractThe evolution…”
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Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning por Yang, Danni, Chen, Zhikang, Cui, Sen, Yang, Mengyue, Li, Ding, Wuerkaixi, Abudukelimu, Li, Haoxuan, Ren, Jinke, Gong, Mingming

Tabla de Contenidos: “… cooperation. We also propose a merge-blocking algorithm and a dynamic cooperative evolution algorithm…”
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