most citedTechnical report: Training Mixture Density Networks with full covariance matrices

6 citations · 6 across the 1 of their papers we have counts for

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cs.LG2020★ 6 cited

Technical report: Training Mixture Density Networks with full covariance matrices

Jakob Kruse

Mixture Density Networks are a tried and tested tool for modelling conditional probability distributions. As such, they constitute a great baseline for novel approaches to this pro…