New paper in Workshop on ML for Systems @ NeurIPS’21

One of the emerging ideas at the intersection of generative neural networks and edge computing, introducing Generative Optimization Networks (GONs) for memory-efficient data generation. Our latest paper, accepted in the Workshop on ML for Systems @ NeurIPS 2021, presents GONs for anomaly detection in resource constrained edge devices with significantly lower memory footprint than traditional GANs. Visit: Explanatory video:

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