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Number of items: **10**.

Ma, Yunpu (2020): Learning with relational knowledge in the context of cognition, quantum computing, and causality. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Zhao, Rui (2020): Deep reinforcement learning in robotics and dialog systems. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Huang, Yi (2020): Scalable statistical learning for relation prediction on structured data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Baier, Stephan (2019): Learning representations for supervised information fusion using tensor decompositions and deep learning methods. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Esteban, Cristóbal (2018): Deep learning for precision medicine. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Yang, Yinchong (2018): Enhancing representation learning with tensor decompositions for knowledge graphs and high dimensional sequence modeling. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Boidol, Jonathan (2017): Monitoring data streams: Classification under uncertainty and entropy-based dependency-detection on streaming data. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Krompaß, Denis (2015): Exploiting prior knowledge and latent variable representations for the statistical modeling and probabilistic querying of large knowledge graphs. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Jiang, Xueyan (2014): Integrating prior knowledge into factorization approaches for relational learning. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics

Nickel, Maximilian (2013): Tensor factorization for relational learning. Dissertation, LMU München: Faculty of Mathematics, Computer Science and Statistics