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What's the relationship between CNNs and communication systems?
The interpretability of Convolutional Neural Networks (CNNs) is an impor...
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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...
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Defending from adversarial examples with a two-stream architecture
In recent years, deep learning has shown impressive performance on many ...
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Quantized VCG Mechanisms for Polymatroid Environments
Many network resource allocation problems can be viewed as allocating a ...
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Fictitious GAN: Training GANs with Historical Models
Generative adversarial networks (GANs) are powerful tools for learning g...
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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 ...
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Hao Ge
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