Risultati della ricerca - distributed evolution (algorithm OR ((algorithmics OR algorithmics) OR algorithmics))

Natural Gradient Interpretation of Rank-One Update in CMA-ES di Hamano, Ryoki, Shirakawa, Shinichi, Nomura, Masahiro

Sommario: “...The covariance matrix adaptation evolution strategy (CMA-ES) is a stochastic search algorithm using...”
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Scalable Implicit Solvers with Dynamic Mesh Adaptation for a Relativistic Drift-Kinetic Fokker-Planck-Boltzmann Model di Rudi, Johann, Heldman, Max, Constantinescu, Emil M., Tang, Qi, Tang, Xian-Zhu

Sommario: “... adaptive mesh refinement (AMR), distributed memory parallelization, and dynamic load balancing...”
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AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems di Xue, Zhenghai, Cai, Qingpeng, Yang, Bin, Hu, Lantao, Jiang, Peng, Gai, Kun, An, Bo

Sommario: “... is the environment non-stationarity stemming from the continual and complex evolution of user behavior patterns over...”
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A hybrid quantum walk model unifying discrete and continuous quantum walks di Chen, Tianen, Shang, Yun

Sommario: “... the coin mechanism of discrete walks with the Hamiltonian-driven time evolution of continuous walks...”
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Backtracking Bipolar Magnetic Regions to their emergence: Two groups and their implication in the tilt measurements di Sreedevi, Anu, Karak, Bidya Binay, Jha, Bibhuti Kumar, Gupta, Rambahadur, Banerjee, Dipankar

Sommario: “... substantial growth during their evolution, the instances where our algorithm fails to capture the initial...”
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Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method di Zhang, Xiyang, Liang, Chen, Qiu, Haoxuan, Wang, Hongzhi

Sommario: “... and selecting data for MLP training that accounts for the dynamic evolution of network parameters during...”
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Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization di Gao, Zijian, Zhong, Yuanting, Ma, Zeyuan, Gong, Yue-Jiao, Guo, Hongshu

Sommario: “... since they resemble dynamic biological evolution. However, existing evolutionary dynamic optimization...”
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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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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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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...”
Testo

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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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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Distributionally Robust Control with End-to-End Statistically Guaranteed Metric Learning di Wu, Jingyi, Ning, Chao, Shi, Yang

Sommario: “...Wasserstein distributionally robust control (DRC) recently emerges as a principled paradigm...”
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Exact Solutions to the Quantum Schrödinger Bridge Problem di Bordyuh, Mykola, Clevert, Djork-Arné, Bertolini, Marco

Sommario: “...The Quantum Schrödinger Bridge Problem (QSBP) describes the evolution of a stochastic process...”
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Generalized Incremental Learning under Concept Drift across Evolving Data Streams di Yu, En, Lu, Jie, Zhang, Guangquan

Sommario: “... shifts, they overlook the critical co-evolution of label spaces and distributions under limited...”
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Diffusion Model-based Reinforcement Learning for Version Age of Information Scheduling: Average and Tail-Risk-Sensitive Control di Pan, Haoyuan, Chen, Sizhao, Wang, Zhaorui, Chan, Tse-Tin

Sommario: “... algorithm. RS-D3SAC integrates a diffusion-based actor with a quantile-based distributional critic...”
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GULP II: Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449 di Meena, Beena, Sabbi, Elena, Zeidler, Peter, Elmegreen, Bruce G., Eldridge, Jan J., Bajaj, Varun, Gennaro, Mario, Pasquali, Anna, Elmegreen, Debra M., Klessen, Ralf S., Smith, Linda J., Bianchi, Luciana, Wofford, Aida, Facchini, Pietro, Gallagher III, John S., Calzetti, Daniela, Grebel, Eva K., Adamo, Angela

Sommario: “...We investigate the hierarchical distribution and evolution of young stellar structures in the dwarf...”
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