ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1511.03405
  4. Cited By
Training Deep Gaussian Processes using Stochastic Expectation
  Propagation and Probabilistic Backpropagation

Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation

11 November 2015
T. Bui
José Miguel Hernández-Lobato
Yingzhen Li
Daniel Hernández-Lobato
Richard Turner
    BDLGP
ArXiv (abs)PDFHTML

Papers citing "Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation"

4 / 4 papers shown
Title
Probabilistic Human Motion Prediction via A Bayesian Neural Network
Probabilistic Human Motion Prediction via A Bayesian Neural Network
Jie Xu
Xingyu Chen
Xuguang Lan
Nanning Zheng
3DH
47
5
0
14 Jul 2021
Deep learning with t-exponential Bayesian kitchen sinks
Deep learning with t-exponential Bayesian kitchen sinks
Harris Partaourides
S. Chatzis
BDL
15
4
0
10 Feb 2018
Deep Gaussian Covariance Network
Deep Gaussian Covariance Network
K. Cremanns
D. Roos
BDL
160
21
0
17 Oct 2017
Variational Auto-encoded Deep Gaussian Processes
Variational Auto-encoded Deep Gaussian Processes
Zhenwen Dai
Andreas C. Damianou
Javier I. González
Neil D. Lawrence
BDL
86
131
0
19 Nov 2015
1