A mixture of Bezier curves with Gaussian control points, trained with a mixture density network, generates smooth multi-modal sequences in one inference step and outperforms comparable baselines on two tasks.
Oxford university press (1995)
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Modeling continuous-time stochastic processes using $\mathcal{N}$-Curve mixtures
A mixture of Bezier curves with Gaussian control points, trained with a mixture density network, generates smooth multi-modal sequences in one inference step and outperforms comparable baselines on two tasks.