Results 1 to 10 of about 592,516 (117)
Natural-gradient learning for spiking neurons [PDF]
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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Thermodynamic natural gradient descent (NGD-T) regulates natural-gradient steps by a geometric speed-cost bound [PDF]
We introduce Thermodynamic Natural Gradient Descent (NGD-T), an optimizer that enforces a physical speed-cost constraint by combining Fisher-preconditioned updates with a dissipation-aware step-size regulator.
Barco Jie You
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Reinforcement Learning: Theory and Applications in HEMS
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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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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Response of Background Herbivory in Mature Birch Trees to Global Warming
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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Quantum Natural Gradient [PDF]
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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Temperature gradient of the natural water surface thermal radiation [PDF]
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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Sparse Channel Estimation for Interference Limited OFDM Systems and Its Convergence Analysis
Wireless communication channels are highly prone to interference in addition to the presence of additive white Gaussian noise (AWGN). Stochastic gradient (SG)-based non-parametric maximum likelihood (NPML) estimator, gives better channel estimates in the
Abhijeet Bishnu, Vimal Bhatia
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Improving sign-algorithm convergence rate using natural gradient for lossless audio compression
In lossless audio compression, the predictive residuals must remain sparse when entropy coding is applied. The sign algorithm (SA) is a conventional method for minimizing the magnitudes of residuals; however, this approach yields poor convergence ...
Taiyo Mineo, Hayaru Shouno
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The functional response of natural patches to surrounding land-use changes is strongly related to variations in functional traits of coexisting species.
Erika Bazzato +3 more
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