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Eric Maris

Wasserstein Variational Inference

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Jun 04, 2018
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Forward Amortized Inference for Likelihood-Free Variational Marginalization

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May 29, 2018
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Complex-valued Gaussian Process Regression for Time Series Analysis

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Dec 07, 2017
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Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis

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Dec 06, 2017
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The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables

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May 19, 2017
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GP CaKe: Effective brain connectivity with causal kernels

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May 16, 2017
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Estimating Nonlinear Dynamics with the ConvNet Smoother

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Apr 21, 2017
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Analysis of Nonstationary Time Series Using Locally Coupled Gaussian Processes

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Oct 31, 2016
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Dynamic Decomposition of Spatiotemporal Neural Signals

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May 09, 2016
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