What is the translation of " VARIATIONAL " in Chinese?

• 变分

Examples of using Variational in English and their translations into Chinese

Auto-encoders and variational auto-encoders.
变自编码器（VariationalAutoencoders）.

The choice of approximate posterior distribution is one of the core problems in variational inference.
近似后验分布的选择是变分推理的核心问题之一。

It incorporates variational inference and utilizes hypernetworks as recurrent neural network cells.
它融入了变分推理，并将超网络用作循环神经网络细胞。

His research interests are quantum mechanical methods and variational transition state theory.
他的研究兴趣为量子力学方法及变分过渡态理论。

His pioneering variational Monte Carlo calculations have become the standard methods for the field.
他的开创性变蒙特卡罗计算已经成为该领域的标准方法。

I highly recommend anyone to read Brian's thesis on variational inference in neural networks.
我强烈建议你们去阅读Brian关于神经网络中的变分推理的论文。

The variational simulation-based calibration(VSBC) assesses the average performance of point estimates.
基于变分仿真的校准（VSBC）评估点估计的平均性能。

Also, when an exact RG transformation can be implemented, the true and variational Hamiltonian are identical:.
此外，当可以实现精确的RG变换时，真实和变分哈密顿量是相同的：.

Applications in physics and engineering variational principles, dynamical control, and optimization, non-holonomic mechanics and field theory.
在物理和工程应用程序（变分原理，动态控制和优化，非完整力学和场论，.

Following this rationale, we conclude that RBMs, a type of unsupervised deep learning algorithm, implements the variational RG process.
根据这一基本原理，我们得出结论，RBM是一种无监督深度学习算法，它实现了变分RG过程。

The first part of our work introduces a variational, continuous-time framework for understanding momentum methods.
我们的工作的第一部分介绍了一个可变的，连续时间的框架，用于理解动量方法。

Variational methods have their origins in the 18th century with the work of Euler, Lagrange, and others on the“calculus of variations”.
变分的方法起源于18世纪的欧拉、拉格朗日，以及其他的关于变分法（calculusofvariations）的研究。

Inference and learning in HCN are very challenging and existing variational approximations do not work satisfactorily.
HCN中的推断和学习非常具有挑战性，而且现有的变分近似法的效果不太令人满意。

The programmable variational quantum simulator, on the other hand, offers individual building blocks with which many different houses can be built.
另一方面，可编程变分量子模拟器提供了可以构建许多不同房屋的独立构建块。

Mehta and Schwab showed that to establish the exact mapping between RG and RBMs, one can choose the following expression for the variational operator:.
Mehta和Schwap表明，为了建立RG和RBM之间的精确映射，可以为变分运算符选择以下表达式：.

In practice, this condition cannot be satisfied exactly and variational schemes are used to find λ that minimizes the difference between the free energies.
在实践中，这个条件不能完全满足，并且使用变分方案来找到最小化自由能之间差异的λ.

We aim to build some new connections in this general area, studying aspects of gradient-based optimization from a continuous-time, variational point of view.
我们的目标是在这个领域中建立一些新的联系，从基于梯度优化的连续时间、变分角度研究等各个方面着手。

Note that using a Variational Bayesian Gaussian mixture avoids the specification of the number of components for a Gaussian mixture model.
注意：使用VariationalBayesianGaussianmixture可以避免高斯混合模型中分量数的选择。

In this work Durk Kingma and Tim Salimans introduce a flexible and computationally scalable method for improving the accuracy of variational inference.
在这项工作中，DurkKingma和TimSalimans引入了一个灵活、可扩展的计算方法，提升变分推断的准确率。

Here's another plot from some published work,“Variational Information Maximizing Exploration”(Houthooft et al, NIPS 2016).
下面是其他已发表工作中的曲线图，VariationalInformationMaximizingExploration，Houthooftetal，NIPS2016。

Adding Markov chain Monte Carlo(MCMC) and Sequential Monte Carlo(SMC) inference, especially Hamiltonian Monte Carlo(HMC), and using these within variational inference objectives.
Lt;/p><p>添加马尔可夫链蒙特卡洛（MCMC）和序列蒙特卡洛（SMC）推理，特别是哈密顿蒙特卡洛（HMC），并将它们应用于变分推断目标。

Powering the CNN is a framework called a“variational autoencoder,” which evaluates how well the CNN outputs match its inputs across some statistical probability.
供电的CNN是一个叫做框架“变自动编码器”，它评估CNN输出如何过一些统计概率匹配其输入。

Gen also provides high-level infrastructure for inference tasks, using diverse approaches such as optimization, variational inference, certain probabilistic methods, and deep learning.
GEN还为推理任务提供了高层次的基础设施，使用了多种方法，如优化、变分推理、某些概率方法和深度学习。

He was also prominent in the formalisation of variational methods for approximate inference and the popularisation of the expectation-maximization algorithm in machine learning.
他还以近似推断变分方法的形式化、最大期望算法在机器学习的普及方面的工作而知名。

Different combinations of model and inference give rise to different algorithms, including auto-regressive distribution estimators, variational auto-encoders, and generative adversarial networks.
不同模型与推理组合产生不同算法，包括自动回归分布估计、变分自动编码器和生成式对立网络。

These reusable topics include Bayesian deep learning, variational approximations, memoryless and amortised inference, and stochastic gradient estimation.
被重复讨论的主题包括贝叶斯深度学习、变分近似法、memorylessandamortisedinference、和随机梯度估计。

His 1985 paper with Shah on variational approaches to signal processing was recently awarded a prize by the Institute of Electrical and Electronics Engineers(IEEE).
他在1985年与Shah合作的关于信号处理变分方法的论文刚刚获得由电子与电气工程师学会（IEEE）颁发的奖项。

To do that, they used an approach called ensemble four-dimensional variational data assimilation- or En4DVAR- that allowed them to combine forecasts with observations.
为此，他们使用了一种名为集成四维变分数据同化(En4DVAR)的方法，该方法允许他们将预测与观测结合起来。

More recently, highly efficient deterministic approximation schemes such as variational Bayes and expectation propagation(discussed in Chapter 10) have been developed.
最近，许多高效的判别式方法被提出来，例如变种贝叶斯（variationalBayes），期望传播（expectationpropagation）（在第10章中讨论）。