inFERENCe
posts on machine learning, statistics, opinions on things I'm reading in the space
My lab
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The Spherical Kernel Divergence
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March 9, 2017
Variational Inference using Implicit Models
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February 28, 2017
Variational Inference using Implicit Models Part III: Joint-Contrastive Inference, ALI and BiGAN
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February 9, 2017
Variational Inference using Implicit Models Part IV: Denoisers instead of Discriminators
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January 26, 2017
Variational Inference using Implicit Models Part II: Amortised Inference
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January 19, 2017
Variational Inference using Implicit Models, Part I: Bayesian Logistic Regression
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January 12, 2017
🎄 2016 Holiday Special: Deriving the Subpixel CNN from First Principles
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December 23, 2016
New Perspectives on Adversarial Training (NIPS 2016 Adversarial Training Workshop)
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December 14, 2016
Solving Intelligence vs Hastening the Arrival of the Next AI Winter
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November 24, 2016
Instance Noise: A trick for stabilising GAN training
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October 20, 2016
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GAN
KL divergence
generative models
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