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Defending from adversarial examples with a two-stream architecture
In recent years, deep learning has shown impressive performance on many ...
12/30/2019 ∙ by Hao Ge, et al. ∙
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Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN
We relate the minimax game of generative adversarial networks (GANs) to ...
02/06/2018 ∙ by Xu Chen, et al. ∙
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Fictitious GAN: Training GANs with Historical Models
Generative adversarial networks (GANs) are powerful tools for learning g...
03/23/2018 ∙ by Hao Ge, et al. ∙
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Quantized VCG Mechanisms for Polymatroid Environments
Many network resource allocation problems can be viewed as allocating a ...
04/26/2019 ∙ by Hao Ge, et al. ∙
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NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework
The shrinking of transistor geometries as well as the increasing complex...
02/13/2020 ∙ by Mohammad Saeed Abrishami, et al. ∙
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What's the relationship between CNNs and communication systems?
The interpretability of Convolutional Neural Networks (CNNs) is an impor...
03/03/2020 ∙ by Hao Ge, et al. ∙
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Hao Ge
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University of Southern California
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Northwestern University
