• GTM

  • Referenced in 57 articles [sw39434]
  • Mapping. Latent variable models represent the probability density of data in a space of several ... linear transformations between the latent space and the data space. In this paper we introduce...
  • latentnet

  • Referenced in 21 articles [sw10550]
  • positing the existence of an latent space of characteristics of the actors. Relationships form ... Euclidean space. It also includes a variant of the extension of the latent position model...
  • NICE

  • Referenced in 15 articles [sw29631]
  • learned that maps it to a latent space so as to make the transformed data ... factorized distribution, i.e., resulting in independent latent variables. We parametrize this transformation so that computing...
  • DeepWalk

  • Referenced in 63 articles [sw39604]
  • network. These latent representations encode social relations in a continuous vector space, which is easily ... obtained from truncated random walks to learn latent representations by treating walks as the equivalent...
  • GANomaly

  • Referenced in 5 articles [sw41240]
  • image space and the inference of latent space. Employing encoder-decoder-encoder sub-networks ... network maps this generated image to its latent representation. Minimizing the distance between these images...
  • spate

  • Referenced in 6 articles [sw12265]
  • time and space, a linear Gaussian state space model is obtained. When doing inference ... spectral coefficients, or equivalently, the latent space-time process. In comparison to the traditional approach...
  • wav2vec

  • Referenced in 3 articles [sw38717]
  • masks the speech input in the latent space and solves a contrastive task defined over...
  • HLSM

  • Referenced in 1 article [sw36719]
  • package HLSM: Hierarchical Latent Space Network Model. Implements Hierarchical Latent Space Network Model (HLSM...
  • LVGP

  • Referenced in 1 article [sw33790]
  • plot latent variables locations in the latent space (only 1D or 2D). The input variables ... modeling method is published in ”A Latent Variable Approach to Gaussian Process Modeling with Qualitative...
  • deepAD

  • Referenced in 1 article [sw38932]
  • Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks...
  • VideoFlow

  • Referenced in 1 article [sw35019]
  • describe an approach for modeling the latent space dynamics, and demonstrate that flow-based generative...
  • BoxE

  • Referenced in 1 article [sw41383]
  • embed knowledge into latent spaces and make predictions from learned embeddings. However, existing embedding models...
  • InfoGraph

  • Referenced in 2 articles [sw37754]
  • from unlabeled data while preserving the latent semantic space favored by the current supervised task...
  • dynr

  • Referenced in 3 articles [sw18446]
  • linear or nonlinear. Latent variables can be continuous (e.g. state space models) or discrete ... single- and multi-subject models of latent time series with the extended Kalman filter...
  • subgraph2vec

  • Referenced in 4 articles [sw36496]
  • Kernels. These latent representations encode semantic substructure dependencies in a continuous vector space, which ... from neighbourhoods of nodes to learn their latent representations in an unsupervised fashion. We demonstrate...
  • recosystem

  • Referenced in 0 articles [sw15860]
  • product of two matrices in a latent space. Other common names for this task include...
  • SPID

  • Referenced in 1 article [sw34466]
  • measurement of inequality and poverty over space. The existing literature on income distributions predominantly focuses ... estimation and inference for area-wise latent parameters are developed, which gives area-wise summary ... samples thanks to the latent spatial state-space structure. The proposed method is demonstrated using...
  • collpcm

  • Referenced in 1 article [sw36718]
  • searches over the model space (number of clusters in the latent position cluster model...
  • LSAfun

  • Referenced in 1 article [sw30382]
  • convenient working with latent semantic analysis (LSA) and other vector space models of semantics...
  • abc-sde

  • Referenced in 3 articles [sw24744]
  • latent dynamics defined by stochastic differential equations (SDEs) and not limited to the ”state-space...