Risultati della ricerca - distributed evolution (algorithm OR ((algorithmics OR algorithmicsics) OR algorithmicsics))
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81
Probabilistic Safety Guarantee for Stochastic Control Systems Using Average Reward MDPs
Pubblicazione 2025Sommario: “... distribution, aims to compute policies that satisfy predefined operational constraints with high confidence...”
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82
Gradient descent inference in empirical risk minimization
Pubblicazione 2024Sommario: “...Gradient descent is one of the most widely used iterative algorithms in modern statistical learning...”
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83
A convex approach for Markov chain estimation from aggregate data via inverse optimal transport
Pubblicazione 2025Sommario: “...We address the problem of identifying the dynamical law governing the evolution of a population...”
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84
Application of Distributed Arithmetic to Adaptive Filtering Algorithms: Trends, Challenges and Future
Pubblicazione 2024Sommario: “...The utilization of distributed arithmetic (DA) in AF algorithms has gained significant attention...”
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Preprint -
85
On Adversary Robust Consensus protocols through joint-agent interactions
Pubblicazione 2019Sommario: “.... These are distributed algorithms for multi-agents systems seeking to agree on a common value of a shared variable, even...”
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86
Non-iterative Optimization Algorithm for Active Distribution Grids Considering Uncertainty of Feeder Parameters
Pubblicazione 2021Sommario: “...To cope with fast-fluctuating distributed energy resources (DERs) and uncontrolled loads...”
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87
Algorithmic Advances Towards a Realizable Quantum Lattice Boltzmann Method
Pubblicazione 2025Sommario: “... evolution of a 2D Gaussian initial density distribution subject to a uniform advection-diffusion field...”
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88
Quantum computing of nonlinear reacting flows via the probability density function method
Pubblicazione 2025Sommario: “... priori test confirms the accuracy of the measurement algorithm on beta distributions with known...”
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89
Learning NEAT Emergent Behaviors in Robot Swarms
Pubblicazione 2023Sommario: “... swarm algorithms to produce emergent behavior. Inspired by the biological evolution of emergent behavior...”
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90
Determining probability density functions with adiabatic quantum computing
Pubblicazione 2023Sommario: “... to each other. In this work, we present a method for fitting one-dimensional probability distributions...”
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91
Natural Variational Annealing for Multimodal Optimization
Pubblicazione 2025Sommario: “... exploration for exploitation. Finally, it learns the variational search distribution using natural-gradient...”
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92
Lévy-Khintchine Structure Enables Fast-Forwardable Lindbladian Simulation
Pubblicazione 2025Sommario: “... and symmetric stable distributions and their algorithmic implications. These give wide classes of Lindbladians...”
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93
Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Pubblicazione 2025Sommario: “... the evolution of the corresponding posterior distribution. This PDE includes a modified diffusion term and a...”
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94
FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning
Pubblicazione 2025Sommario: “...-and-divergence-aware scheduling algorithm that facilitates fast convergence of FEEL under dynamic data evolution...”
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95
Distributed Quantum Dynamics on Near-Term Quantum Processors
Pubblicazione 2025Sommario: “... on real IBM quantum devices. The algorithm allows to execute Hamiltonian evolution simulations for problem...”
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96
Distributed optimization of Lindblad equations for large-scale cavity QED systems
Pubblicazione 2026Sommario: “... algorithm enables distributed matrix exponentiation, though scalability is limited by cross-processor...”
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97
Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems
Pubblicazione 2024Sommario: “...We develop an Euler-type method to predict the evolution of a time-dependent probability measure...”
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98
Last-Iterate Analyses of FTRL with the 1/2-Tsallis Entropy in Stochastic Bandits
Pubblicazione 2025Sommario: “...The convergence analysis of online learning algorithms is central to machine learning theory, where...”
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99
Objective Conversion‐Based Multiobjective Evolutionary Algorithm for Optimal Design of Braced Steel Frame Structures
Pubblicazione 2026Sommario: “... Buildings ABSTRACT This study proposes a multiobjective evolutionary algorithm based on objective conversion...”
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Artículo Open Access -
100
Simulating Evolvability as a Learning Algorithm: Empirical Investigations on Distribution Sensitivity, Robustness, and Constraint Tradeoffs
Pubblicazione 2025Sommario: “...The theory of evolvability, introduced by Valiant (2009), formalizes evolution as a constrained...”
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Preprint