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1904.08994
Cited By
From GAN to WGAN
18 April 2019
Lilian Weng
GAN
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Papers citing
"From GAN to WGAN"
37 / 37 papers shown
Dependency-aware synthetic tabular data generation
Chaithra Umesh
Kristian Schultz
Manjunath Mahendra
Saptarshi Bej
Olaf Wolkenhauer
157
0
0
25 Jul 2025
Diffusion prior as a direct regularization term for FWI
Yuke Xie
Hervé Chauris
N. Desassis
DiffM
277
0
0
11 Jun 2025
Pseudo Random Number Generator using Internet-of-Things Techniques on Portable Field-Programmable-Gate-Array Platform
Tee Hui Teo
62
1
0
02 Apr 2025
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
Pablo A. Osorio-Marulanda
John Esteban Castro Ramirez
Mikel Hernández Jiménez
Nicolas Moreno Reyes
Gorka Epelde Unanue
SyDa
157
1
0
27 Sep 2024
Preserving logical and functional dependencies in synthetic tabular data
Chaithra Umesh
Kristian Schultz
Manjunath Mahendra
Saparshi Bej
Olaf Wolkenhauer
346
1
0
26 Sep 2024
Class-specific Data Augmentation for Plant Stress Classification
Nasla Saleem
Aditya Balu
Talukder Zaki Jubery
Arti Singh
Asheesh Kumar Singh
Soumik Sarkar
Baskar Ganapathysubramanian
209
3
0
18 Jun 2024
Stochastic full waveform inversion with deep generative prior for uncertainty quantification
Yuke Xie
Hervé Chauris
N. Desassis
230
5
0
07 Jun 2024
Switched Flow Matching: Eliminating Singularities via Switching ODEs
International Conference on Machine Learning (ICML), 2024
Qunxi Zhu
Wei Lin
351
2
0
19 May 2024
A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective
Alberto Caron
Chris Hicks
V. Mavroudis
OODD
533
2
0
05 May 2024
Structure-aware Fine-tuning for Code Pre-trained Models
Jiayi Wu
Renyu Zhu
Nuo Chen
Qiushi Sun
Xiang Li
Ming Gao
193
3
0
11 Apr 2024
A Survey on Deep Learning and State-of-the-art Applications
Mohd Halim Mohd Noor
A. O. Ige
AILaw
MLAU
266
0
0
26 Mar 2024
SEE-OoD: Supervised Exploration For Enhanced Out-of-Distribution Detection
Xiaoyang Song
Wenbo Sun
Maher Nouiehed
Raed Al Kontar
J. Jin
OODD
181
0
0
12 Oct 2023
Prediction of Diblock Copolymer Morphology via Machine Learning
Hyun Park
Boyuan Yu
Juhae Park
Ge Sun
E. Tajkhorshid
J. Pablo
Ludwig Schneider
AI4CE
164
2
0
31 Aug 2023
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
International Journal of Applied Earth Observation and Geoinformation (JAEOG), 2023
Weikang Yu
Yonghao Xu
Pedram Ghamisi
401
10
0
31 Jul 2023
Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples
Rhitabrat Pokharel
Ameeta Agrawal
OODD
339
2
0
01 Jun 2023
Generative AI for Bayesian Computation
Entropy (Entropy), 2023
Nicholas G. Polson
Vadim Sokolov
BDL
444
10
0
24 May 2023
GAN-based Domain Inference Attack
AAAI Conference on Artificial Intelligence (AAAI), 2022
Yuechun Gu
Keke Chen
143
12
0
22 Dec 2022
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy
Royal Society Open Science (RSOS), 2022
Michael J. Smith
James E. Geach
290
51
0
07 Nov 2022
Generative Adversarial Networks and Other Generative Models
Markus T. Wenzel
GAN
233
19
0
08 Jul 2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks
Haileleol Tibebu
Aadin Malik
V. D. Silva
GAN
363
11
0
06 Jul 2022
Turbo: Opportunistic Enhancement for Edge Video Analytics
ACM International Conference on Embedded Networked Sensor Systems (SenSys), 2022
Yan Lu
Shiqi Jiang
Ting Cao
Yuanchao Shu
221
34
0
29 Jun 2022
Transfer Learning Based Efficient Traffic Prediction with Limited Training Data
Consumer Communications and Networking Conference (CCNC), 2022
Sajal Saha
Anwar Haque
Greg Sidebottom
AI4TS
64
5
0
09 May 2022
CTAB-GAN+: Enhancing Tabular Data Synthesis
Zilong Zhao
A. Kunar
Robert Birke
L. Chen
303
160
0
01 Apr 2022
A survey on GANs for computer vision: Recent research, analysis and taxonomy
Computer Science Review (CSR), 2022
Guillermo Iglesias
Edgar Talavera
Alberto Díaz-Álvarez
EGVM
AI4TS
424
97
0
21 Mar 2022
Generating Synthetic Mobility Networks with Generative Adversarial Networks
EPJ Data Science (EPJ Data Sci.), 2022
G. Mauro
Massimiliano Luca
Antonio Longa
Bruno Lepri
Luca Pappalardo
GAN
340
32
0
22 Feb 2022
NoisyMix: Boosting Model Robustness to Common Corruptions
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
N. Benjamin Erichson
Soon Hoe Lim
Winnie Xu
Francisco Utrera
Ziang Cao
Michael W. Mahoney
372
27
0
02 Feb 2022
Contrastive Laplacian Eigenmaps
Neural Information Processing Systems (NeurIPS), 2022
Hao Zhu
Ke Sun
Piotr Koniusz
298
54
0
14 Jan 2022
WOOD: Wasserstein-based Out-of-Distribution Detection
Yinan Wang
Wenbo Sun
Jionghua Jin
Zhen Kong
Xiaowei Yue
OODD
148
14
0
13 Dec 2021
Regularized Sequential Latent Variable Models with Adversarial Neural Networks
International Conference on Machine Learning and Applications (ICMLA), 2021
Jin Huang
Ming Xiao
BDL
GNN
DRL
GAN
130
3
0
10 Aug 2021
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks
Scientific Reports (Sci Rep), 2021
Alberto Mozo
Ángel González-Prieto
Antonio Agustin Pastor Perales
Sandra Gómez Canaval
Edgar Talavera
273
28
0
30 Jul 2021
DR2L: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning
International Conference on Computer Science and Application Engineering (ICCSAE), 2021
Haoyi Niu
Jianming Hu
Zheyu Cui
Jianming Hu
239
20
0
25 Jul 2021
AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Han Yuan
F. Xie
M. Ong
Yilin Ning
M. Chee
S. Saffari
H. Abdullah
B. Goldstein
B. Chakraborty
Nan Liu
161
24
0
13 Jul 2021
Wasserstein GAN: Deep Generation applied on Bitcoins financial time series
Moritz Pfenninger
Samuel Rikli
Daniel Nico Bigler
Osterrieder Joerg
GAN
AI4TS
190
6
0
13 Jul 2021
The use of Generative Adversarial Networks to characterise new physics in multi-lepton final states at the LHC
Thabang Lebese
X. Ruan
GAN
229
9
0
31 May 2021
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning
Bo Zhao
Yang Liu
Liming Fang
Tao Wang
Ke Jiang
FedML
179
6
0
16 Apr 2021
Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study
Alejandro Ungría Hirte
Moritz Platscher
T. Joyce
J. Heit
E. Tranvinh
C. Federau
MedIm
DiffM
223
6
0
24 Jun 2020
GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative Examination Networks
Journal of Cheminformatics (J Cheminform), 2019
R. V. Deursen
P. Ertl
Igor V. Tetko
Guillaume Godin
135
37
0
10 Sep 2019
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