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cs.LG2022★ 5 cited
Instability and Local Minima in GAN Training with Kernel Discriminators
Evan Becker, Parthe Pandit, Sundeep Rangan +1
Generative Adversarial Networks (GANs) are a widely-used tool for generative modeling of complex data. Despite their empirical success, the training of GANs is not fully understood…
cs.LG2022
A note on Linear Bottleneck networks and their Transition to Multilinearity
Libin Zhu, Parthe Pandit, Mikhail Belkin
Randomly initialized wide neural networks transition to linear functions of weights as the width grows, in a ball of radius around initialization. A necessary condition for…