Results 11 to 20 of about 293,069 (338)
Algorithms for the minimum sum coloring problem: a review [PDF]
Artificial Intelligence Review, 2016 The Minimum Sum Coloring Problem (MSCP) is a variant of the well-known vertex coloring problem which has a number of AI related applications. Due to its theoretical and practical relevance, MSCP attracts increasing attention.
Hamiez, Jean-Philippe +2 more
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Continuous-Time Reinforcement Learning: New Design Algorithms With Theoretical Insights and Performance Guarantees [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2023 Continuous-time reinforcement learning (CT-RL) methods hold great promise in real-world applications. Adaptive dynamic programming (ADP)-based CT-RL algorithms, especially their theoretical developments, have achieved great successes.
Brent A. Wallace, J. Si
semanticscholar +1 more source
Theoretical Perspectives on Deep Learning Methods in Inverse Problems [PDF]
IEEE Journal on Selected Areas in Information Theory, 2022 In recent years, there have been significant advances in the use of deep learning methods in inverse problems such as denoising, compressive sensing, inpainting, and super-resolution.
J. Scarlett +4 more
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Archives of Computational Methods in Engineering, 2023 Despite the simplicity of the whale optimization algorithm (WOA) and its success in solving some optimization problems, it faces many issues. Thus, WOA has attracted scholars' attention, and researchers frequently prefer to employ and improve it to ...
Mohammad-Hossein Nadimi-Shahraki +3 more
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Tensor renormalization group study of (3+1)-dimensional ℤ2 gauge-Higgs model at finite density
Journal of High Energy Physics, 2022 We investigate the critical endpoints of the (3+1)-dimensional ℤ2 gauge-Higgs model at finite density together with the (2+1)-dimensional one at zero density as a benchmark using the tensor renormalization group method.
Shinichiro Akiyama, Yoshinobu Kuramashi
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Bond-weighting method for the Grassmann tensor renormalization group
Journal of High Energy Physics, 2022 Recently, the tensor network description with bond weights on its edges has been proposed as a novel improvement for the tensor renormalization group algorithm. The bond weight is controlled by a single hyperparameter, whose optimal value is estimated in
Shinichiro Akiyama
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Three-body resonances in the φ 4 theory
Journal of High Energy Physics, 2023 We study the properties of three-body resonances using a lattice complex scalar φ 4 theory with two scalars, with parameters chosen such that one heavy particle can decay into three light ones.
Marco Garofalo +4 more
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Journal of High Energy Physics, 2023 It is well known that quantum tunneling can be described by instantons in the imaginary-time path integral formalism. However, its description in the real-time path integral formalism has been elusive. Here we establish a statement that quantum tunneling
Jun Nishimura +2 more
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Analytic expansions of multi-hadron finite-volume energies. I. Two-particle states
Journal of High Energy Physics, 2022 We derive analytic expansions for the finite-volume energies of weakly-interacting two-particle systems, using the general relations between scattering amplitudes and energies derived by Lüscher and others.
D. M. Grabowska, M. T. Hansen
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Bounding the QCD Equation of State with the Lattice
Journal of High Energy Physics, 2023 The equation of state of QCD matter at high densities is relevant for neutron star structure and for neutron star mergers and has been a focus of recent work.
Guy D. Moore, Tyler Gorda
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