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cs.LG2020★ 1 cited
Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences
Jing Shi, Jing Bi, Yingru Liu +1
The marriage of recurrent neural networks and neural ordinary differential networks (ODE-RNN) is effective in modeling irregularly-observed sequences. While ODE produces the smooth…
cs.LG2018
GAN-EM: GAN based EM learning framework
Wentian Zhao, Shaojie Wang, Zhihuai Xie +2
Expectation maximization (EM) algorithm is to find maximum likelihood solution for models having latent variables. A typical example is Gaussian Mixture Model (GMM) which requires…