Martin Arjovsky (WGAN) Interview HD

My interview with Martin Arjovsky (NYU PhD student studying Machine Learning and AI) on the theory of generative adversarial networks, biological plausibility of deep credit assignment, and his work on the Wasserstein GAN. 1:33 Start of Interview 15:15 Criticisms of Maximum Likelihood 27:55 Wasserstein GAN and Generative Models 54:20 Deep Learning without backprop and biological plausibility 59:54 Future of Deep Learning Research as a Professional Career Path Links to papers: https://arxiv.org/abs/1701.07875 https://arxiv.org/abs/1701.04862 https://arxiv.org/abs/1704.00028