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

Stein Variational Evolution Strategies di Braun, Cornelius V., Lange, Robert T., Toussaint, Marc

Sommario: “... an unnormalized probability distribution. However, the SVGD update relies on gradients of the log-density, which...”
Testo

Learning Density Evolution from Snapshot Data di Yao, Rentian, Nitanda, Atsushi, Chen, Xiaohui, Yang, Yun

Sommario: “... distribution-on-scalar regression approach for estimating the density evolution of a stochastic process from...”
Testo

Evolving-RL: End-to-End Optimization of Experience-Driven Self-Evolving Capability within Agents di Fan, Zhiyuan, Jin, Wenwei, Zhang, Feng, Li, Bin, Dong, Yihong, Hu, Yao, Li, Jiawei

Sommario: “... reinforcement learning, they still fail to treat self-evolution as a unified process to be jointly optimized...”
Testo

Optimal Quantum Likelihood Estimation di Levi, Alon, Ossi, Ziv, Cohen, Eliahu, Te'eni, Amit

Sommario: “...A hybrid quantum-classical algorithm is a computational scheme in which quantum circuits are used...”
Testo

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...”
Testo

A Landscape-Aware Differential Evolution for Multimodal Optimization Problems di Lin, Guo-Yun, Chen, Zong-Gan, Liu, Chuanbin, Jiang, Yuncheng, Kwong, Sam, Zhang, Jun, Zhan, Zhi-Hui

Sommario: “...-aware differential evolution (LADE) algorithm is proposed for MMOPs, which utilizes landscape knowledge...”
Testo

Deep Generalized Schrödinger Bridges: From Image Generation to Solving Mean-Field Games di Liu, Guan-Horng, Chen, Tianrong, Theodorou, Evangelos A.

Sommario: “... the most likely particle evolution based on the principle of least action including kinetic and potential...”
Testo

Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications di Termehchi, Atefeh, Hossain, Ekram, Woungang, Isaac

Sommario: “... the evolution of states and actions in trained DRL algorithms as unknown discrete, stochastic, and nonlinear...”
Testo

Evolutionary model for energy trading in community microgrids using Hawk-Dove strategies di Chifu, Viorica Rozina, Cioara, Tudor, Pop, Cristina Bianca, Anghel, Ionut

Sommario: “... are modeled through an evolutionary algorithm. An individual in the algorithm population is represented...”
Testo

Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery di Gozeten, Halil Alperen, Zhang, Xuechen, Ildiz, Emrullah, Taga, Ege Onur, Javidi, Tara, Oymak, Samet

Sommario: “... evolution in most settings, with STA Best-Local providing the strongest in-distribution adaptation and STA...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

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...”
Testo

The Genomic Code: The genome instantiates a generative model of the organism di Mitchell, Kevin J., Cheney, Nick

Sommario: “... encoded by the learning algorithm of evolution and decoded through the processes of development...”
Testo

Generalized HMC using Nambu mechanics for lattice QCD di Lundstrum, Erik

Sommario: “...I describe a generalization of the hybrid Monte Carlo (HMC) algorithm in which the molecular...”
Testo

Approximation Algorithms for Capacitated Vehicle Routing Problems: A Comprehensive Survey di Chen, Yongyu

Sommario: “... distance. Due to its extensive applications in logistics, distribution, and supply chain management, CVRP...”
Testo

A Randomized Method for Simulating Lindblad Equations and Thermal State Preparation di Chen, Hongrui, Li, Bowen, Lu, Jianfeng, Ying, Lexing

Sommario: “... is available for the Lindblad evolution $e^{t\mathcal{L}_a}$, we implement $e^{t\mathcal{L}_a}$ for a randomly...”
Testo

Diffusion-based Dynamic Contract for Federated AI Agent Construction in Mobile Metaverses di Wen, Jinbo, Kang, Jiawen, Zhang, Yang, Zhong, Yue, Niyato, Dusit, Xu, Jie, Tang, Jianhang, Yuen, Chau

Sommario: “..., maintenance, and evolution of mobile metaverses, enabling seamless human-machine interaction and dynamic...”
Testo