
Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces
Modern implicit generative models such as generative adversarial network...
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KernelGuided Training of Implicit Generative Models with Stability Guarantees
Modern implicit generative models such as generative adversarial network...
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The Incomplete Rosetta Stone Problem: Identifiability Results for MultiView Nonlinear ICA
We consider the problem of recovering a common latent source with indepe...
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Deep Nonlinear NonGaussian Filtering for Dynamical Systems
Filtering is a general name for inferring the states of a dynamical syst...
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Towards life cycle identification of malaria parasites using machine learning and Riemannian geometry
Malaria is a serious infectious disease that is responsible for over hal...
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Annealed Generative Adversarial Networks
We introduce a novel framework for adversarial training where the target...
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FidelityWeighted Learning
Training deep neural networks requires many training samples, but in pra...
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Analysis of Nonautonomous Adversarial Systems
Generative adversarial networks are used to generate images but still th...
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Deep Energy Estimator Networks
Density estimation is a fundamental problem in statistical learning. Thi...
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Distribution Aware Active Learning
Discriminative learning machines often need a large set of labeled sampl...
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A Local Information Criterion for Dynamical Systems
Encoding a sequence of observations is an essential task with many appli...
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Dual IV: A Single Stage Instrumental Variable Regression
We present a novel singlestage procedure for instrumental variable (IV)...
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Arash Mehrjou
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