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. 1805.10262
  4. Cited By
Learning Restricted Boltzmann Machines via Influence Maximization

Learning Restricted Boltzmann Machines via Influence Maximization

25 May 2018
Guy Bresler
Frederic Koehler
Ankur Moitra
Elchanan Mossel
    AI4CE
ArXivPDFHTML

Papers citing "Learning Restricted Boltzmann Machines via Influence Maximization"

4 / 4 papers shown
Title
Learning and Testing Latent-Tree Ising Models Efficiently
Learning and Testing Latent-Tree Ising Models Efficiently
Davin Choo
Y. Dagan
C. Daskalakis
Anthimos Vardis Kandiros
22
8
0
23 Nov 2022
From Boltzmann Machines to Neural Networks and Back Again
From Boltzmann Machines to Neural Networks and Back Again
Surbhi Goel
Adam R. Klivans
Frederic Koehler
19
5
0
25 Jul 2020
Logistic-Regression with peer-group effects via inference in higher
  order Ising models
Logistic-Regression with peer-group effects via inference in higher order Ising models
C. Daskalakis
Nishanth Dikkala
Ioannis Panageas
24
11
0
18 Mar 2020
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
136
602
0
14 Feb 2016
1