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Zinan Lin

Carnegie Mellon University

Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions


Jan 22, 2021
Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles Kamhoua, Nandi Leslie, Cho-Yu Jason Chiang, Vyas Sekar


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MLGO: a Machine Learning Guided Compiler Optimizations Framework


Jan 13, 2021
Mircea Trofin, Yundi Qian, Eugene Brevdo, Zinan Lin, Krzysztof Choromanski, David Li

* First two authors are equal contributors 

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Why Spectral Normalization Stabilizes GANs: Analysis and Improvements


Sep 06, 2020
Zinan Lin, Vyas Sekar, Giulia Fanti

* 45 pages, 71 figures 

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Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger


Sep 30, 2019
Zinan Lin, Alankar Jain, Chen Wang, Giulia Fanti, Vyas Sekar

* 28 pages, 35 figures 

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InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers


Jun 14, 2019
Zinan Lin, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh

* 25 pages, 21 figures 

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Robustness of Conditional GANs to Noisy Labels


Nov 08, 2018
Kiran Koshy Thekumparampil, Ashish Khetan, Zinan Lin, Sewoong Oh


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PacGAN: The power of two samples in generative adversarial networks


Nov 02, 2018
Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh

* 49 pages, 24 figures 

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