Adversarial Autoencoder(GAN和VAE的结合版) 阅读笔记 最近看了Adversarial Autoencoders(以下简称AAE)这篇paper,就随便写几句笔记。 paper链接,点我 1. 概述: GAN和VAE是近年来很火的生成模型(关于GAN,我之前写过几篇了,需要的话点击文末的相关链接即可),对于这两个模型的研究层出不穷,变体无数,而将这两者结...
于是我们去优化ELBO,相当于去maximize似然函数的下界,那么我们也间接地maximize 这个似然函数(是的,Variational Autoencoder本质上还是在去最大化似然函数)这也就是我们为什么要最大ELBO的原因。 然后这个ELBO也可以写为: ELBO(θ,ϕ)=−Ez∼qϕ(z∣x)[logPθ(x∣z)]+KL[qϕ(z∣x)‖P(z)] ...
Second paper:《Auto-encoding Variational Bayes》自编码变分贝叶斯的阅读笔记,程序员大本营,技术文章内容聚合第一站。
Paper Fully Spiking Variational Autoencoder Spiking neural networks (SNNs) can be run on neuromorphic devices with ultra-high speed and ultra-low energy consumption because of their binary and event-driven nature. Therefore, SNNs are expected to have various applications, including as generative ...
一个流行的框架便是变分自动编码器(Variational Autoencoder, VAE)。VAEs 需要前提假设,但相较于 VAEs 能够模拟的复杂依赖关系而言这些假设引入的误差可以说微不足道。 1.1 隐含参数模型 如果要自动生成手写数字0-9,那么事先决定要生成什么数字是很有必要的。这个决定被称作隐含变量(latent variable)。隐含变量通常...
We propose a variational autoencoder which encodes and decodes directly to and from these parse trees, ensuring the generated outputs are always valid. Surprisingly, we show that not only does our model more often generate valid outputs, it also learns a more coherent latent space in which ...
This paper proposes Dirichlet Variational Autoencoder (DirVAE) using a Dirichlet prior. To infer the parameters of DirVAE, we utilize the stochastic gradient method by approximating the inverse cumulative distribution function of the Gamma distribution, which is a component of the Dirichlet distribution...
In this paper, we summarized the works focusing on spatial data processing based on Variational Autoencoders. We considered as the base method the fundamental paper by Kingma and Welling (2014), which has the highest impact in this domain. For a better understanding, we introduced the main the...
A variational autoencoder (VAE) is one of several generative models that use deep learning to generate new content, detect anomalies and remove noise. VAEs first appeared in 2013, about the same time as other generative AI algorithms, such as generative adversarial networks (GANs) and diffusion...
VAE (variational autoencoder) Understanding Variational Autoencoders (VAEs) 为何不能用AE的decoder来直接生成数据? 因为这里的latent space的regularity无法保证 右边给出的例子,AE只是保证training过程中的cases的这些离散点,会导致严重的overfitting,你选中其他点的时候,不知道会发生什么,因为对于latent space之前是没...