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On the Optimality of Generative Adversarial Networks — A Variational Perspective
Generative adversarial networks (GANs) are a popular learning framework to model the underlying distribution of images. GANs comprise a min-max game between the generator and the discriminator. While the generator transforms ...
Development of Perception Systems to Enhance Robustness for Robotic Applications
Robotic systems are composed of interconnected modules such as planning, control, and perception, where inaccuracies in the perception module can trigger cascading failures throughout the entire pipeline. To achieve reliable ...