• VBayesLab

  • Referenced in 5 articles [sw41752]
  • covariance matrix. We implement natural gradient methods for the optimization, exploiting the factor structure ... covariance matrix in computation of the natural gradient. Our flexible DFNN models and Bayesian inference...
  • LDGB

  • Referenced in 42 articles [sw07134]
  • smooth gradient-based methods may lead to a failure due to the nonsmooth nature...
  • AMIDST

  • Referenced in 5 articles [sw21741]
  • defined as a distributed projected natural gradient ascent algorithm, has excellent convergence properties, and covers...
  • Vprop

  • Referenced in 2 articles [sw22203]
  • connections to Newton’s method, natural-gradient methods, and extended Kalman filters. Overall, this paper...
  • SIRF

  • Referenced in 4 articles [sw27454]
  • least-squares fitting term and a dynamic gradient sparsity regularizer. The former is to preserve ... process, which is naturally achieved by virtue of the dynamic gradient sparsity property. An efficient...
  • LR-GAN

  • Referenced in 3 articles [sw42520]
  • contextually relevant manner to produce a complete natural image. For each foreground, the model learns ... with gradient descent methods. The experiments demonstrate that LR-GAN can generate more natural images...
  • PLASMA

  • Referenced in 4 articles [sw10304]
  • program to solve rotating plasma problems. Nature of problem: Rotation of a partially ionized ... solved by means of the conjugate gradient method...
  • CARMA

  • Referenced in 9 articles [sw07235]
  • index in the iterative identification is a natural number and independent of time ... Iterative identification methods are based on the gradient search, least-squares search and Newton search...
  • KAZE Features

  • Referenced in 10 articles [sw30439]
  • However, Gaussian blurring does not respect the natural boundaries of objects and smoothes ... Difference Binary (M-LDB) descriptor that exploits gradient information from the nonlinear scale space...
  • pyLEMMINGS

  • Referenced in 1 article [sw22398]
  • nature with high computational requirements. In this paper, we present stochastic sub-gradient optimization large...
  • Neko

  • Referenced in 1 article [sw38428]
  • nature of efforts to design new learning rules, which range from encoding methods to gradient...
  • LibPGRL

  • Referenced in 1 article [sw14310]
  • intended to be a high-performance policy-gradient reinforcement learning library. Since the first version ... general RL library which implements, for example, natural actor critic, and least squares policy iteration ... real-time dynamic programming, or exact policy gradient. There is limited support for belief state...
  • Inertial-SsGM

  • Referenced in 1 article [sw42307]
  • with Delayed Derivatives for Nonconvex Problems. Stochastic gradient methods (SGMs) are predominant approaches for solving ... SsGM with delayed derivatives. The information delay naturally happens in a distributed system, where computing ... expected value of the gradient norm square, for $K$ iterations. In a distributed environment...
  • Opytimizer

  • Referenced in 1 article [sw31846]
  • Opytimizer: A Nature-Inspired Python Optimizer. Optimization aims at selecting a feasible set of parameters ... iterative optimization methods use the evaluation of gradients and Hessians to find their solutions...
  • JAXNS

  • Referenced in 1 article [sw36439]
  • computational complexity and long-running nature, in the past, nested sampling has been reserved ... posteriors, discrete random variables, and posteriors lacking gradients, nor do they enable practical calculations...
  • NCIPLOT

  • Referenced in 0 articles [sw20029]
  • with the regions of small reduced density gradient (RDG) at low densities. These regions ... characterize both the strength and (un)favourable nature of these interactions. The references below give ... computes the density and the reduced density gradient on a grid. The calculated values...
  • CG-cell

  • Referenced in 1 article [sw10089]
  • cell broadband engine. The NAS Conjugate Gradient (CG) benchmark is an important scientific kernel used ... their impact. In addition, by exploring distributed nature of CBE, we present trade-off between...
  • PANTHER

  • Referenced in 1 article [sw35256]
  • performance demands due to the expensive nature of training them. Numerous special-purpose architectures have ... reads and writes for performing the weight gradient and update step. A few works have...
  • FIDAP

  • Referenced in 37 articles [sw00006]
  • FIDAP (A Fluid Dynamics Analysis Program). This paper...
  • ADF95

  • Referenced in 6 articles [sw00017]
  • ADF95: Tool for automatic differentiation of a FORTRAN...