Hong‐Kyu Park

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All published works

Action	Title	Year	Authors
+ PDF Chat	Data synthesis based on generative adversarial networks	2018	Noseong Park Mahmoud Mohammadi Kshitij Gorde Sushil Jajodia Hong‐Kyu Park Youngmin Kim
+	MMGAN: Manifold Matching Generative Adversarial Network for Generating Images.	2017	Noseong Park Ankesh Anand Joel Ruben Antony Moniz Kookjin Lee Tanmoy Chakraborty Jaegul Choo Hong‐Kyu Park Youngmin Kim
+	MMGAN: Manifold Matching Generative Adversarial Network	2017	Noseong Park Ankesh Anand Joel Ruben Antony Moniz Kookjin Lee Tanmoy Chakraborty Jaegul Choo Hong‐Kyu Park Youngmin Kim

Common Coauthors

Coauthor	Papers Together
Noseong Park	3
Kookjin Lee	2
Joel Ruben Antony Moniz	2
Tanmoy Chakraborty	2
Jaegul Choo	2
Youngmin Kim	2
Ankesh Anand	2
Sushil Jajodia	1
Kshitij Gorde	1
Youngmin Kim	1
Mahmoud Mohammadi	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Towards Principled Methods for Training Generative Adversarial Networks	2017	Martín Arjovsky Léon Bottou	3
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	3
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	3
+	Kernel methods in machine learning	2008	Thomas Hofmann Bernhard Schölkopf Alexander J. Smola	2
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	2
+	Adversarial Generator-Encoder Networks.	2017	Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky	2
+	NIPS 2016 Tutorial: Generative Adversarial Networks	2017	Ian Goodfellow	2
+	Sample Complexity of Testing the Manifold Hypothesis	2010	Hariharan Narayanan Sanjoy K. Mitter	2
+	Boundary-Seeking Generative Adversarial Networks	2017	R Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio	1
+	Generating Multi-label Discrete Patient Records using Generative Adversarial Networks	2017	Edward Choi Siddharth Biswal Bradley Malin Jon Duke Walter F. Stewart Jimeng Sun	1
+	The Cramer Distance as a Solution to Biased Wasserstein Gradients	2017	Marc G. Bellemare Ivo Danihelka Will Dabney Shakir Mohamed Balaji Lakshminarayanan Stephan Hoyer Rémi Munos	1
+	Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.	2017	Edward Choi Siddharth Biswal Bradley Malin Jon Duke Walter F. Stewart Jimeng Sun	1
+	Progressive Growing of GANs for Improved Quality, Stability, and Variation	2017	Tero Karras Timo Aila Samuli Laine Jaakko Lehtinen	1
+ PDF Chat	Data synthesis based on generative adversarial networks	2018	Noseong Park Mahmoud Mohammadi Kshitij Gorde Sushil Jajodia Hong‐Kyu Park Youngmin Kim	1
+	Rethinking the Inception Architecture for Computer Vision	2015	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Zbigniew Wojna	1
+	Conditional Image Synthesis With Auxiliary Classifier GANs	2016	Augustus Odena Christopher Olah Jonathon Shlens	1
+	SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation	2017	Moustafa Alzantot Supriyo Chakraborty Mani Srivastava	1
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	1
+	McGan: Mean and Covariance Feature Matching GAN	2017	Youssef Mroueh Tom Sercu Vaibhava Goel	1
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	1
+ PDF Chat	API design for machine learning software: experiences from the scikit-learn project	2013	Lars Buitinck Gilles Louppe Mathieu Blondel Fabián Pedregosa Andreas Mueller Olivier Grisel Vlad Niculae Peter Prettenhofer Alexandre Gramfort Jaques Grobler	1
+	Progressive Growing of GANs for Improved Quality, Stability, and Variation	2017	Tero Karras Timo Aila Samuli Laine Jaakko Lehtinen	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	On the design and quantification of privacy preserving data mining algorithms	2001	Dakshi Agrawal Charų C. Aggarwal	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	1
+	Improved Techniques for Training GANs	2016	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	1
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	1