ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1704.03188
  4. Cited By
Simplified Stochastic Feedforward Neural Networks

Simplified Stochastic Feedforward Neural Networks

11 April 2017
Kimin Lee
Jaehyung Kim
S. Chong
Jinwoo Shin
ArXiv (abs)PDFHTML

Papers citing "Simplified Stochastic Feedforward Neural Networks"

3 / 3 papers shown
Title
Concentration inequalities and optimal number of layers for stochastic
  deep neural networks
Concentration inequalities and optimal number of layers for stochastic deep neural networksIEEE Access (IEEE Access), 2022
Michele Caprio
Sayan Mukherjee
BDL
356
1
0
22 Jun 2022
Stochastic Feedforward Neural Networks: Universal Approximation
Stochastic Feedforward Neural Networks: Universal Approximation
Thomas Merkh
Guido Montúfar
153
8
0
22 Oct 2019
Accurate and Diverse Sampling of Sequences based on a "Best of Many"
  Sample Objective
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective
Apratim Bhattacharyya
Bernt Schiele
Mario Fritz
175
124
0
20 Jun 2018
1