Results 1 to 10 of about 527,229 (142)
Natural-gradient learning for spiking neurons [PDF]
eLife, 2022 In many normative theories of synaptic plasticity, weight updates implicitly depend on the chosen parametrization of the weights. This problem relates, for example, to neuronal morphology: synapses which are functionally equivalent in terms of their ...
Elena Kreutzer +2 more
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Quantum Natural Gradient [PDF]
Quantum, 2020 A quantum generalization of Natural Gradient Descent is presented as part of a general-purpose optimization framework for variational quantum circuits. The optimization dynamics is interpreted as moving in the steepest descent direction with respect to ...
James Stokes +3 more
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QuantumHybrid quantum-classical algorithms appear to be the most promising approach for near-term quantum applications. An important bottleneck is the classical optimization loop, where the multiple local minima and the emergence of barren plateaux make these ...
Ioannis Kolotouros, Petros Wallden
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Design and Fabrication of Biomimetic Gradient Bone Tissue Engineering Scaffolds: Evolution from Single-Gradient to Multi-Gradient [PDF]
GelsThe regeneration of bone and the repair of large segmental bone defects represent critical challenges in regenerative medicine. Natural bone tissue is an anisotropic material characterized by an intricate gradient distribution in structure, mechanical ...
Haitao Liu +5 more
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Mirror Descent and Exponentiated Gradient Algorithms Using Trace-Form Entropies [PDF]
EntropyThis paper introduces a broad class of Mirror Descent (MD) and Generalized Exponentiated Gradient (GEG) algorithms derived from trace-form entropies defined via deformed logarithms. Leveraging these generalized entropies yields MD and GEG algorithms with
Andrzej Cichocki +3 more
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Reinforcement Learning: Theory and Applications in HEMS
Energies, 2022 The steep rise in reinforcement learning (RL) in various applications in energy as well as the penetration of home automation in recent years are the motivation for this article.
Omar Al-Ani, Sanjoy Das
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Entropy, 2023 The variational Bayesian method solves nonlinear estimation problems by iteratively computing the integral of the marginal density. Many researchers have demonstrated the fact its performance depends on the linear approximation in the computation of the ...
Yumei Hu +5 more
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Temperature gradient of the natural water surface thermal radiation [PDF]
E3S Web of Conferences, 2023 The dependence of the thermal radiation of natural water on its kinetic temperature in the temperature range of 7-70 degrees Celsius was experimentally investigated.
Gavrilin Sergey N.
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Response of Background Herbivory in Mature Birch Trees to Global Warming
Frontiers in Forests and Global Change, 2021 Given the time scale based on the duration of exposure to global warming, natural climate-gradient studies and experimental manipulations have detected long-term (decades to centuries) and short-term (years to decades) ecological responses to global ...
Masahiro Nakamura +7 more
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Natural Gradient Shared Control [PDF]
2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2020 We propose a formalism for shared control, which is the problem of defining a policy that blends user control and autonomous control. The challenge posed by the shared autonomy system is to maintain user control authority while allowing the robot to support the user. This can be done by enforcing constraints or acting optimally when the intent is clear.
Oh, Y. +3 more
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