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. 1412.6296
  4. Cited By
Generative Modeling of Convolutional Neural Networks

Generative Modeling of Convolutional Neural Networks

19 December 2014
Jifeng Dai
Ying Nian Wu
Ying-Nian Wu
ArXivPDFHTML

Papers citing "Generative Modeling of Convolutional Neural Networks"

17 / 17 papers shown
Title
Structured Multi-task Learning for Molecular Property Prediction
Structured Multi-task Learning for Molecular Property Prediction
Shengchao Liu
Meng Qu
Zuobai Zhang
Huiyu Cai
Jian Tang
23
24
0
22 Feb 2022
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic
  Patterns
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns
Jianwen Xie
Song-Chun Zhu
Ying Nian Wu
GAN
29
52
0
26 Sep 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward
  Energy-Based Model
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp
Mitch Hill
Song-Chun Zhu
Ying Nian Wu
31
209
0
22 Apr 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based
  Models
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models
Erik Nijkamp
Mitch Hill
Tian Han
Song-Chun Zhu
Ying Nian Wu
21
151
0
29 Mar 2019
Interpretable Convolutional Neural Networks via Feedforward Design
Interpretable Convolutional Neural Networks via Feedforward Design
C.-C. Jay Kuo
Min Zhang
Siyang Li
Jiali Duan
Yueru Chen
33
155
0
05 Oct 2018
A Review of Learning with Deep Generative Models from Perspective of
  Graphical Modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
36
16
0
05 Aug 2018
Generative Modeling by Inclusive Neural Random Fields with Applications
  in Image Generation and Anomaly Detection
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection
Yunfu Song
Zhijian Ou
DiffM
19
30
0
01 Jun 2018
Fixing a Broken ELBO
Fixing a Broken ELBO
Alexander A. Alemi
Ben Poole
Ian S. Fischer
Joshua V. Dillon
Rif A. Saurous
Kevin Patrick Murphy
DRL
BDL
39
80
0
01 Nov 2017
On Data-Driven Saak Transform
On Data-Driven Saak Transform
C.-C. Jay Kuo
Yueru Chen
AI4TS
26
93
0
11 Oct 2017
Learning Energy-Based Models as Generative ConvNets via Multi-grid
  Modeling and Sampling
Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling
Ruiqi Gao
Yang Lu
Junpei Zhou
Song-Chun Zhu
Ying Nian Wu
39
78
0
26 Sep 2017
Cooperative Training of Descriptor and Generator Networks
Cooperative Training of Descriptor and Generator Networks
Jianwen Xie
Yang Lu
Ruiqi Gao
Song-Chun Zhu
Ying Nian Wu
GAN
26
140
0
29 Sep 2016
Understanding Convolutional Neural Networks with A Mathematical Model
Understanding Convolutional Neural Networks with A Mathematical Model
C.-C. Jay Kuo
FAtt
27
372
0
14 Sep 2016
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
Jianwen Xie
Song-Chun Zhu
Ying Nian Wu
GAN
37
10
0
03 Jun 2016
A Theory of Generative ConvNet
A Theory of Generative ConvNet
Jianwen Xie
Yang Lu
Song-Chun Zhu
Ying Nian Wu
DiffM
GAN
50
318
0
10 Feb 2016
Super-Resolution with Deep Convolutional Sufficient Statistics
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna
Pablo Sprechmann
Yann LeCun
SupR
28
323
0
18 Nov 2015
Learning FRAME Models Using CNN Filters
Learning FRAME Models Using CNN Filters
Yang Lu
Song-Chun Zhu
Ying Nian Wu
GAN
28
66
0
28 Sep 2015
Understanding Neural Networks Through Deep Visualization
Understanding Neural Networks Through Deep Visualization
J. Yosinski
Jeff Clune
Anh Totti Nguyen
Thomas J. Fuchs
Hod Lipson
FAtt
AI4CE
69
1,864
0
22 Jun 2015
1