Eric Maris

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Papers (9)

1. Forward Amortized Inference for Likelihood-Free Variational Marginalization stat.ML · 2018 · author #7
2. Wasserstein Variational Inference stat.ML · 2018 · author #5
3. The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables stat.ML · 2017 · author #4
4. GP CaKe: Effective brain connectivity with causal kernels q-bio.NC · 2017 · author #4
5. Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis stat.ML · 2017 · author #2
6. Estimating Nonlinear Dynamics with the ConvNet Smoother stat.ML · 2017 · author #3
7. Complex-valued Gaussian Process Regression for Time Series Analysis stat.ML · 2016 · author #2
8. Analysis of Nonstationary Time Series Using Locally Coupled Gaussian Processes stat.ML · 2016 · author #2
9. Dynamic Decomposition of Spatiotemporal Neural Signals q-bio.NC · 2016 · author #3

Mentions

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Frequent Coauthors

• Luca Ambrogioni 9 shared papers
• Marcel A. J. van Gerven 4 shared papers
• Umut G\"u\c{c}l\"u 4 shared papers
• Max Hinne 3 shared papers
• Marcel van Gerven 2 shared papers
• Ya\u{g}mur G\"u\c{c}l\"ut\"urk 2 shared papers
• Eva W. P. van den Borne 1 shared papers
• Julia Berezutskaya 1 shared papers