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Iterative Gaussianization is a fixed-point iteration procedure that can transform any continuous random vector into a Gaussian one.
Block neural autoregressive flow
De Cao, N., Titov, I., and Aziz, W. (2019) · 1904
Earlier work this paper cites.
On estimation of a probability density function and mode
Parzen, E. (1962) · 1962
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The l 1 l_{1} convergence of kernel density estimates
Devroye, L. P. and Wagner, T. J. (1979) · 1979
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Projection pursuit
Huber, P. J. (1985) · 1985
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Kernel density estimation with binned data
Scott, D. W. and Sheather, S. J. (1985) · 1985
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Gaussianization
Chen, S. S. and Gopinath, R. A. (2001) · 2001
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Sheather, S. J. (2004) · 2004
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ImageNet: A Large-Scale Hierarchical Image Database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L. (2009) · 2009
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Neural ordinary differential equations
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Transformation autoregressive networks
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Neural autoregressive flows
Huang, C.-W., Krueger, D., Lacoste, A., and Courville, A. (2018) · 2092
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