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. 1905.10963
  4. Cited By
Interpretable deep Gaussian processes with moments

Interpretable deep Gaussian processes with moments

27 May 2019
Chi-Ken Lu
Scott Cheng-Hsin Yang
Xiaoran Hao
Patrick Shafto
ArXivPDFHTML

Papers citing "Interpretable deep Gaussian processes with moments"

5 / 5 papers shown
Title
Unsupervised Restoration of Weather-affected Images using Deep Gaussian
  Process-based CycleGAN
Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN
R. Yasarla
Vishwanath A. Sindagi
Vishal M. Patel
37
2
0
23 Apr 2022
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning
Chi-Ken Lu
Patrick Shafto
BDL
27
4
0
01 Oct 2021
The Limitations of Large Width in Neural Networks: A Deep Gaussian
  Process Perspective
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective
Geoff Pleiss
John P. Cunningham
28
24
0
11 Jun 2021
Gaussian Process Learning-based Probabilistic Optimal Power Flow
Gaussian Process Learning-based Probabilistic Optimal Power Flow
Parikshit Pareek
H. Nguyen
11
35
0
16 Apr 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1