Mußotter, M.: Electrolyte solutions at heterogeneously charged surfaces. Dissertation, Universität Stuttgart, Stuttgart (2020)

Zhang, L.: Experimental Investigation on Hydrogen Isotope Separation in Nanoporous Materials. Dissertation, Universität Stuttgart, Stuttgart (2020)

Kilbertus, N.: Beyond traditional assumptions in fair machine learning. Dissertation, University of Cambridge, Cambridge, UK (2020)

Marco-Valle, A.: Bayesian Optimization in Robot Learning. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2020)

Asheichyk, K.: Linear response theory for equilibrium systems perturbed by nonconservative forces: the role of symmetries. Dissertation, Universität Stuttgart, Stuttgart (2020)

Balog, M.: Converting to Optimization in Machine Learning: Perturb-and-MAP, Differential Privacy, and Program Synthesis. Dissertation, xv, 175 S., University of Cambridge, Cambridge, UK (2020)

Heim, S.: Viability in State-Action Space. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2020)

Melde, K.: The acoustic hologram and particle manipulation with structured acoustic fields. Dissertation, XX, 120 S., Karlsruher Institut für Technologie, Karlsruhe (und KIT Scientific Publishing, Karlsruhe) (2020)

Locatello, F.: Enforcing and Discovering Structure in Machine Learning. Dissertation, ETH Zürich, Zürich, Schweiz (2020)

Simmendinger, J.: Magnetische Röntgenmikroskopie zur Untersuchung des lokalen Stromtransports in Supraleitern. Dissertation, 177 S., Universität Stuttgart, Stuttgart (und Verlag Dr. Hut, München) (2020)

Ranjan, A.: Towards Geometric Understanding of Motion. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2019)

Büchler, D.: Robot Learning for Muscular Robots. Dissertation, Technische Universität Darmstadt, Darmstadt (2019)

Gomez-Gonzales, S.: Real Time Probabilistic Models for Robot Trajectories. Dissertation, Technische Universität Darmstadt, Darmstadt (2019)

Bauer, M.: Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning. Dissertation, University of Cambridge, Cambridge (2019)

Balderas-Xicohténcatl, R.: High-density hydrogen monolayer formation and isotope diffusion in porous media. Dissertation, Universität Stuttgart, Stuttgart (2019)

Gu, S.: Sample-efficient deep reinforcement learning for continuous control. Dissertation, University of Cambridge, Cambridge (2019)

Katiyar, P.: Quantification of tumor heterogeneity using PET/MRI and machine learning. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2019)

Weichwald, S.: Pragmatism and Variable Transformations in Causal Modelling. Dissertation, ETH Zürich, Zürich (2019)

Bartsch, H.: Interfaces in fluids of ionic liquid crystals. Dissertation, Universität Stuttgart, Stuttgart (2019)

Sanli, U. T.: Novel X-ray lenses for direct and coherent imaging. Dissertation, Universität Stuttgart, Stuttgart (2019)