DeepAlign: Alignment-Based Process Anomaly Correction Using Recurrent Neural Networks. - Timo Nolle; Alexander Seeliger; Nils Thoma; Max Mühlhäuser (CAiSE, 2020)

RECOWNs: Probabilistic Circuits for Trustworthy Time Series Forecasting. - Nils Thoma; Zhongjie Yu 001; Fabrizio Ventola; Kristian Kersting (CoRR, 2021)

Predictive Whittle networks for time series. - Zhongjie Yu 001; Fabrizio Ventola; Nils Thoma; Devendra Singh Dhami; Martin Mundt; Kristian Kersting (UAI, 2022)