Risultati della ricerca - distributed evolution (algorithm OR (algorithmicsic OR (algorithmssic OR Algorithmsssic)))

Decomposition of Nonlinear Collision Operator in Quantum Lattice Boltzmann Algorithm di E, Dinesh Kumar, Frankel, Steven H.

Sommario: “...We propose a quantum algorithm to tackle the quadratic nonlinearity in the Lattice Boltzmann (LB...”
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FedAvgen: Metadata for Model Aggregation In Communication Systems di Kiggundu, Anthony, Krummacker, Dennis, Schotten, Hans D.

Sommario: “... is afterwards distributed to the client devices. This approach is known as federated learning and inherently...”
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Modeling Inequality in Complex Networks of Strategic Agents using Iterative Game-Theoretic Transactions di Kejriwal, Mayank, Luo, Yuesheng

Sommario: “... (often following a scale-free distribution) are not fully understood. A particular systemic measure...”
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Efficient classical computation of the neural tangent kernel of quantum neural networks di Hernandez, Anderson Melchor, Pastorello, Davide, De Palma, Giacomo

Sommario: “...We propose an efficient classical algorithm to estimate the Neural Tangent Kernel (NTK) associated...”
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Memory Effects in Disease Modelling Through Kernel Estimates with Oscillatory Time History di Mielke, Adam, Sørensen, Mads Peter, Wyller, John

Sommario: “... histories in the distributed time delay. We make use of this algorithmic framework to analyse memory effects...”
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Listening to the Noise: Blind Denoising with Gibbs Diffusion di Heurtel-Depeiges, David, Margossian, Charles C., Ohana, Ruben, Blancard, Bruno Régaldo-Saint

Sommario: “... models. In particular, diffusion models are trained like denoisers, and the distribution they model...”
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Structure, Positivity and Classical Simulability of Kirkwood-Dirac Distributions di Burkat, Jędrzej, Strelchuk, Sergii

Sommario: “...The Kirkwood-Dirac (KD) quasiprobability distribution is known for its role in quantum metrology...”
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Generalised Time-Series Analysis of Fault Mechanics Using Explainable AI di King, Thomas, Vinciguerra, Sergio

Sommario: “..., with occurrence-based metrics such as time distributions, Gutenberg-Richter b-values, and spatial fractal...”
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Image driven deep learning method with FFT solver for predicting the microscale full field stress of stochastic boundary composites di Yong Liao, Bing Wang, Hongyue Wang, Songhe Meng, Guodong Fang

Sommario: “... directly predict the full field stress distribution and mechanical properties of composites solely based...”
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Thermalization of long range Ising model in different dynamical regimes: a full counting statistics approach di Ranabhat, Nishan, Collura, Mario

Sommario: “.... We quantify the thermalization behavior by comparing the full probability distribution function (PDF...”
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Expectile hidden Markov regression models for analyzing cryptocurrency returns di Foroni, Beatrice, Merlo, Luca, Petrella, Lea

Sommario: “... and describe their temporal evolution by introducing in the model time-dependent coefficients evolving...”
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Sapphire++: A particle transport code combining a spherical harmonic expansion and the discontinuous Galerkin method di Schween, Nils W., Schulze, Florian, Reville, Brian

Sommario: “... equation for astrophysical applications. Sapphire++ employs a numerical algorithm based on a spherical...”
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Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators di Wang, Longlin, Song, Yanke, Jiang, Kuanhao, Sur, Pragya

Sommario: “... sources and distribution shifts. We rigorously establish state evolution for multi-environment GLAMP. We...”
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Performance Analysis of XL-MIMO with Rotary and Movable Antennas for High-speed Railway di Yi, Wenhui, Zhang, Jiayi, Wang, Zhe, Xiao, Huahua, Ai, Bo

Sommario: “... algorithm for the rotation angle of the transceiver panels, leveraging the differential evolution method...”
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Improved sampling via learned diffusions di Richter, Lorenz, Berner, Julius

Sommario: “... generalized Schrödinger bridge problem, seeking a stochastic evolution between a given prior distribution...”
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Robust off-policy Reinforcement Learning via Soft Constrained Adversary di Nakanishi, Kosuke, Kubo, Akihiro, Yasui, Yuji, Ishii, Shin

Sommario: “... significant attention and undergone rapid evolution due to RL's potential vulnerability. Although...”
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Avalanches in Magnetohydrodynamical simulations di Lamarre, Henri, Charbonneau, Paul, Noraz, Quentin, Strugarek, Antoine, Blaise, Alexis, Brun, Allan Sacha, Carlsson, Mats, Gudiksen, Boris Vilhelm

Sommario: “... release spans a vast range of scales. Recent computational advances, at the level of both algorithmics...”
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Concentration Within Distribution: Unmasking Bitcoin's Structural Centralization Through Network Science di Nonaka, Myriam, Marín-Rodríguez, F. Javier, Jiricny, Alexander, Romance, Miguel, Criado, Regino, Iglesias-Pérez, Sergio, Partida, Alberto

Sommario: “..., which allows us to explore its mesoscopic properties and trace its temporal evolution. In particular, we...”
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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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