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Conditional Generative Moment-Matching Networks

Conditional Generative Moment-Matching Networks

14 June 2016
Yong Ren
J. Li
Yucen Luo
Jun Zhu
    GAN
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Papers citing "Conditional Generative Moment-Matching Networks"

14 / 14 papers shown
Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
50
0
0
08 May 2025
Domain Adaptation with Cauchy-Schwarz Divergence
Domain Adaptation with Cauchy-Schwarz Divergence
Wenzhe Yin
Shujian Yu
Yicong Lin
Jie Li
J. Sonke
E. Gavves
29
3
0
30 May 2024
MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation
MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation
Akshay Thakur
Souvik Chakraborty
42
1
0
24 Apr 2024
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
Shujian Yu
Hongming Li
Sigurd Løkse
Robert Jenssen
José C. Príncipe
BDL
28
6
0
21 Jan 2023
Calibration tests beyond classification
Calibration tests beyond classification
David Widmann
Fredrik Lindsten
Dave Zachariah
30
17
0
21 Oct 2022
Composite Goodness-of-fit Tests with Kernels
Composite Goodness-of-fit Tests with Kernels
Oscar Key
Arthur Gretton
F. Briol
T. Fernandez
32
14
0
19 Nov 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative
  Replay
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
Peng Bao
Zonghai Chen
Ji-kai Wang
Deyun Dai
Hao Zhao
33
9
0
15 Nov 2021
Rescuing neural spike train models from bad MLE
Rescuing neural spike train models from bad MLE
Diego M. Arribas
Yuan Zhao
Il Memming Park
32
8
0
23 Oct 2020
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Chuan-Xian Ren
Pengfei Ge
Peiyi Yang
Shuicheng Yan
115
43
0
25 Aug 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings
Junhyung Park
Krikamol Muandet
35
77
0
10 Feb 2020
Statistical Inference for Generative Models with Maximum Mean
  Discrepancy
Statistical Inference for Generative Models with Maximum Mean Discrepancy
François‐Xavier Briol
Alessandro Barp
Andrew B. Duncan
Mark Girolami
27
70
0
13 Jun 2019
Kernel Mean Matching for Content Addressability of GANs
Kernel Mean Matching for Content Addressability of GANs
Wittawat Jitkrittum
Patsorn Sangkloy
Muhammad Waleed Gondal
Amit Raj
James Hays
Bernhard Schölkopf
GAN
BDL
32
9
0
14 May 2019
Semi-crowdsourced Clustering with Deep Generative Models
Semi-crowdsourced Clustering with Deep Generative Models
Yucen Luo
Tian Tian
Jiaxin Shi
Jun Zhu
Bo Zhang
14
18
0
29 Oct 2018
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
Max-Margin Deep Generative Models for (Semi-)Supervised Learning
Chongxuan Li
Jun Zhu
Bo Zhang
AI4CE
32
42
0
22 Nov 2016
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