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06/28/2021
What to do if N is two?
The field of in-vivo neurophysiology currently uses statistical standard...
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05/29/2018
Forward Amortized Inference for Likelihood-Free Variational Marginalization
In this paper, we introduce a new form of amortized variational inferenc...
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05/29/2018
Wasserstein Variational Inference
This paper introduces Wasserstein variational inference, a new form of a...
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05/19/2017
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables
This paper introduces the kernel mixture network, a new method for nonpa...
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05/16/2017
GP CaKe: Effective brain connectivity with causal kernels
A fundamental goal in network neuroscience is to understand how activity...
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04/10/2017
Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis
Computing accurate estimates of the Fourier transform of analog signals ...
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02/17/2017
Estimating Nonlinear Dynamics with the ConvNet Smoother
Estimating the state of a dynamical system from a series of noise-corrup...
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10/31/2016
Analysis of Nonstationary Time Series Using Locally Coupled Gaussian Processes
The analysis of nonstationary time series is of great importance in many...
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05/09/2016
