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1806.00880
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Disconnected Manifold Learning for Generative Adversarial Networks
3 June 2018
Mahyar Khayatkhoei
Ahmed Elgammal
Maneesh Kumar Singh
GAN
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Papers citing
"Disconnected Manifold Learning for Generative Adversarial Networks"
46 / 46 papers shown
StegOT: Trade-offs in Steganography via Optimal Transport
Chengde Lin
Xuezhu Gong
Shuxue Ding
Mingzhe Yang
Xijun Lu
Chengjun Mo
OT
278
0
0
14 Sep 2025
Comprehensive List Generation for Multi-Generator Reranking
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Hailan Yang
Zhenyu Qi
Shuchang Liu
Xiaoyu Yang
Xiaobei Wang
Longji Xu
Lantao Hu
Haoyang Li
Kun Gai
OffRL
145
5
0
22 Apr 2025
Analytical Discovery of Manifold with Machine Learning
Yafei Shen
Huan-Fei Ma
Ling Yang
186
0
0
03 Apr 2025
Backdoor Attack with Mode Mixture Latent Modification
Hongwei Zhang
Xiaoyin Xu
Dongsheng An
Xianfeng Gu
Min Zhang
AAML
143
0
0
12 Mar 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
Alireza Ganjdanesh
Shangqian Gao
Hirad Alipanah
Heng-Chiao Huang
GAN
247
11
0
22 Dec 2023
Conditional Unscented Autoencoders for Trajectory Prediction
Faris Janjos
Marcel Hallgarten
Anthony Knittel
Maxim Dolgov
Andreas Zell
J. Marius Zöllner
373
10
0
30 Oct 2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks
International Conference on Learning Representations (ICLR), 2023
Jaemoo Choi
Jaewoong Choi
Myungjoo Kang
OT
319
6
0
04 Oct 2023
Convergence and Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems
Journal of Mathematical Imaging and Vision (JMIV), 2023
Nathan Buskulic
M. Fadili
Yvain Quéau
413
7
0
21 Sep 2023
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions
International Conference on Machine Learning (ICML), 2023
Mahyar Khayatkhoei
Wael AbdAlmageed
165
7
0
16 Jun 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Computer Vision and Pattern Recognition (CVPR), 2023
Aadithya Srikanth
C. Seelamantula
GAN
420
3
0
12 May 2023
Textual Manifold-based Defense Against Natural Language Adversarial Examples
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
D. M. Nguyen
Anh Tuan Luu
AAML
265
28
0
05 Nov 2022
Unveiling the Latent Space Geometry of Push-Forward Generative Models
International Conference on Machine Learning (ICML), 2022
Thibaut Issenhuth
Ugo Tanielian
Jérémie Mary
David Picard
GAN
DRL
320
3
0
21 Jul 2022
Verifying the Union of Manifolds Hypothesis for Image Data
International Conference on Learning Representations (ICLR), 2022
Bradley Brown
M. Volkovs
Brendan Leigh Ross
Jesse C. Cresswell
Gabriel Loaiza-Ganem
380
65
0
06 Jul 2022
Can Push-forward Generative Models Fit Multimodal Distributions?
Neural Information Processing Systems (NeurIPS), 2022
Antoine Salmona
Valentin De Bortoli
J. Delon
A. Desolneux
DiffM
275
45
0
29 Jun 2022
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space
Amil Dravid
Florian Schiffers
Boqing Gong
Aggelos K. Katsaggelos
GAN
MedIm
252
11
0
11 Apr 2022
VQ-Flows: Vector Quantized Local Normalizing Flows
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Sahil Sidheekh
Chris B. Dock
Tushar Jain
R. Balan
M. Singh
203
8
0
22 Mar 2022
Multi-level Latent Space Structuring for Generative Control
Oren Katzir
Vicky Perepelook
Dani Lischinski
Daniel Cohen-Or
293
4
0
11 Feb 2022
Manifold Learning Benefits GANs
Computer Vision and Pattern Recognition (CVPR), 2021
Yao Ni
Piotr Koniusz
Leonid Sigal
Richard Nock
GAN
255
18
0
23 Dec 2021
Latent reweighting, an almost free improvement for GANs
Thibaut Issenhuth
Ugo Tanielian
David Picard
Jérémie Mary
188
7
0
19 Oct 2021
VARGAN: Variance Enforcing Network Enhanced GAN
Sanaz Mohammadjafari
Mucahit Cevik
Ayse Basar
GAN
102
1
0
05 Sep 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
Patrick Dendorfer
Sven Elflein
Laura Leal-Taixé
181
137
0
20 Aug 2021
Unsupervised Image Generation with Infinite Generative Adversarial Networks
Hui Ying
He Wang
Tianjia Shao
Yin Yang
Kun Zhou
GAN
164
3
0
18 Aug 2021
On the expressivity of bi-Lipschitz normalizing flows
Asian Conference on Machine Learning (ACML), 2021
Alexandre Verine
Benjamin Négrevergne
F. Rossi
Y. Chevaleyre
TPM
259
17
0
15 Jul 2021
Learning Generative Prior with Latent Space Sparsity Constraints
Vinayak Killedar
P. Pokala
C. Seelamantula
138
3
0
25 May 2021
Partition-Guided GANs
Computer Vision and Pattern Recognition (CVPR), 2021
Mohammadreza Armandpour
A. Sadeghian
Chunyuan Li
Mingyuan Zhou
GAN
300
20
0
02 Apr 2021
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zhenzhong Wang
Haokai Hong
Kai Ye
Min Jiang
Kay Chen Tan
AI4CE
180
42
0
08 Jan 2021
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample
Itamar Winter
D. Weinshall
GAN
161
0
0
25 Nov 2020
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
Antonio Bărbălău
Adrian Cosma
Radu Tudor Ionescu
Marius Popescu
MIACV
MLAU
184
49
0
21 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks
AAAI Conference on Artificial Intelligence (AAAI), 2020
Mahyar Khayatkhoei
Ahmed Elgammal
GAN
273
53
0
04 Oct 2020
Stabilizing Invertible Neural Networks Using Mixture Models
Inverse Problems (IP), 2020
Paul Hagemann
Sebastian Neumayer
191
40
0
07 Sep 2020
Ensembles of Generative Adversarial Networks for Disconnected Data
Lorenzo Luzi
Randall Balestriero
Richard G. Baraniuk
179
4
0
25 Jun 2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training
Yasin Yazici
Chuan-Sheng Foo
Stefan Winkler
Kim-Hui Yap
V. Chandrasekhar
214
36
0
25 Jun 2020
Diverse Image Generation via Self-Conditioned GANs
Steven Liu
Tongzhou Wang
David Bau
Jun-Yan Zhu
Antonio Torralba
SyDa
369
119
0
18 Jun 2020
Learning disconnected manifolds: a no GANs land
Ugo Tanielian
Thibaut Issenhuth
Elvis Dohmatob
Jérémie Mary
262
37
0
08 Jun 2020
SAGE: Sequential Attribute Generator for Analyzing Glioblastomas using Limited Dataset
P. Jonnalagedda
B. Weinberg
Jason W. Allen
Taejin L. Min
Shiv Bhanu
B. Bhanu
GAN
MedIm
125
5
0
14 May 2020
Effect of The Latent Structure on Clustering with GANs
IEEE Signal Processing Letters (IEEE SPL), 2020
Deepak Mishra
Aravind Jayendran
Prathosh A. P.
GAN
111
9
0
05 May 2020
AE-OT-GAN: Training GANs from data specific latent distribution
European Conference on Computer Vision (ECCV), 2020
Dongsheng An
Yang Guo
Min Zhang
Xin Qi
Na Lei
S. Yau
X. Gu
DRL
GAN
226
25
0
11 Jan 2020
Unsupervised multi-modal Styled Content Generation
O. Sendik
Dani Lischinski
Daniel Cohen-Or
GAN
192
4
0
10 Jan 2020
MMGAN: Generative Adversarial Networks for Multi-Modal Distributions
T. Pandeva
Matthias Schubert
GAN
129
20
0
15 Nov 2019
Membership Model Inversion Attacks for Deep Networks
S. Basu
R. Izmailov
Chris Mesterharm
MIACV
116
13
0
09 Oct 2019
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
IEEE International Conference on Computer Vision (ICCV), 2019
Jogendra Nath Kundu
Maharshi Gor
Dakshit Agrawal
R. Venkatesh Babu
GAN
200
12
0
11 Aug 2019
Neural Network based Explicit Mixture Models and Expectation-maximization based Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2019
Dong Liu
Minh Thành Vu
Saikat Chatterjee
L. Rasmussen
195
3
0
31 Jul 2019
Encoder-Powered Generative Adversarial Networks
Jiseob Kim
Seungjae Jung
Hyun-Dong Lee
Byoung-Tak Zhang
GAN
DRL
78
1
0
03 Jun 2019
Universality Theorems for Generative Models
Valentin Khrulkov
Ivan Oseledets
112
5
0
27 May 2019
A Survey of Unsupervised Deep Domain Adaptation
Garrett Wilson
D. Cook
OOD
395
923
0
06 Dec 2018
MR-GAN: Manifold Regularized Generative Adversarial Networks
Qunwei Li
B. Kailkhura
Rushil Anirudh
Yi Zhou
Yingbin Liang
P. Varshney
AI4CE
GAN
113
8
0
22 Nov 2018
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