Results 31 to 40 of about 580,652 (288)
Natural Evolutionary Gradient Descent Strategy for Variational Quantum Algorithms
Recent research has demonstrated that parametric quantum circuits (PQCs) are affected by gradients that progressively vanish to zero as a function of the number of qubits.
Jianshe Xie +4 more
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Information geometry enables a deeper understanding of the methods of statistical inference. In this paper, the problem of nonlinear parameter estimation is considered from a geometric viewpoint using a natural gradient descent on statistical manifolds ...
Yongqiang Cheng, Xuezhi Wang, Bill Moran
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Coastal microbial mat diversity along a natural salinity gradient. [PDF]
The North Sea coast of the Dutch barrier island of Schiermonnikoog is covered by microbial mats that initiate a succession of plant communities that eventually results in the development of a densely vegetated salt marsh.
Henk Bolhuis +2 more
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The Variational Predictive Natural Gradient
Variational inference transforms posterior inference into parametric optimization thereby enabling the use of latent variable models where otherwise impractical. However, variational inference can be finicky when different variational parameters control variables that are strongly correlated under the model.
Da Tang, Rajesh Ranganath
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Land-use change is a major cause of biodiversity loss. Particularly, the expansion of the agricultural frontier results from an increased resource demand by the human population.
Esteban F. Soto +4 more
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A generalized quality assessment method for natural and screen content images
A generalized objective quality assessment method is proposed for natural images and screen content images. Since natural images and screen content images have different statistical properties, the modelling of a generalized quality assessment method ...
Woei‐Tan Loh, David B. L. Bong
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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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Gradient Regularized Natural Gradients
Gradient regularization (GR) has been shown to improve the generalizability of trained models. While Natural Gradient Descent has been shown to accelerate optimization in the initial phase of training, little attention has been paid to how the training dynamics of second-order optimizers can benefit from GR.
Dash, Satya Prakash; id_orcid 0009-0000-4822-823X +4 more
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Actor-critic algorithm with incremental dual natural policy gradient
The existed algorithms for continuous action space failed to consider the way of selecting optimal action and utilizing the knowledge of the action space,so an efficient actor-critic algorithm was proposed by improving the natural gradient.The objective ...
Peng ZHANG +4 more
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A Natural Gradient Algorithm for Stochastic Distribution Systems
In this paper, we propose a steepest descent algorithm based on the natural gradient to design the controller of an open-loop stochastic distribution control system (SDCS) of multi-input and single output with a stochastic noise.
Zhenning Zhang +3 more
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