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A Deep Learning Approach for Characterizing Major Galaxy Mergers
Fine-grained estimation of galaxy merger stages from observations is a k...
02/09/2021 ∙ by Skanda Koppula, et al. ∙
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End-to-End Adversarial Text-to-Speech
Modern text-to-speech synthesis pipelines typically involve multiple pro...
06/05/2020 ∙ by Jeff Donahue, et al. ∙
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High Fidelity Speech Synthesis with Adversarial Networks
Generative adversarial networks have seen rapid development in recent ye...
09/25/2019 ∙ by Mikołaj Bińkowski, et al. ∙
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Batch weight for domain adaptation with mass shift
Unsupervised domain transfer is the task of transferring or translating ...
05/29/2019 ∙ by Mikołaj Bińkowski, et al. ∙
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On gradient regularizers for MMD GANs
We propose a principled method for gradient-based regularization of the ...
05/29/2018 ∙ by Michael Arbel, et al. ∙
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Demystifying MMD GANs
We investigate the training and performance of generative adversarial ne...
01/04/2018 ∙ by Mikołaj Bińkowski, et al. ∙
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