2 papers
cs.LG2021
RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting
Nils Thoma, Zhongjie Yu, Fabrizio Ventola +1
Time series forecasting is a relevant task that is performed in several real-world scenarios such as product sales analysis and prediction of energy demand. Given their accuracy pe…
cs.LG2019
Random Sum-Product Forests with Residual Links
Fabrizio Ventola, Karl Stelzner, Alejandro Molina +1
Tractable yet expressive density estimators are a key building block of probabilistic machine learning. While sum-product networks (SPNs) offer attractive inference capabilities, o…