Wieschollek, P.: Learning from Multi-Frame Data. Dissertation, University of Tübingen, Tübingen (2020)

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 pp., 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 pp., 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 pp., Universität Stuttgart, Stuttgart (und Verlag Dr. Hut, München) (2020)

Sauter, R.: Hydromagnonics: Manipulation of magnonic systems with hydrogen. Master, Universität Stuttgart, Stuttgart (2020)

Ahmed, O.: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning. Master, ETH Zürich, Zürich, Schweiz (2020)

DuMont Schütte, A.: A Comprehensive Benchmark Evaluation of Synthetic Data Generation for Biomedical Imaging. Master, ETH Zürich, Zürich, Schweiz (2020)

Cacioppo, A.: Deep learning for the parameter estimation of tight-binding Hamiltonians. Master, Sapienza Università di Roma, Rom (2020)

Zečević, M.: Learning Algorithms, Invariances, and the Real World. Master, Technische Universität Darmstadt, Darmstadt (2020)

Bondorf, L.: Interaction of hydrogen isotopes with flexible metal-organic frameworks. Master, Universität Stuttgart, Stuttgart (2020)

Baldauf, A.: Colloidal particles supporting urase activity. Master, Universität Stuttgart, Stuttgart (2020)

Bochert, I.: Diffusion studies on biomolecules by NMR. Master, Universität Stuttgart, Stuttgart (2020)

Nacke, R.: Voltage dependent interfacial magnetism in multilayer systems. Magister, Universität Stuttgart, Stuttgart (2020)