Krauthausen, F.: Robotic Surgery Training in AR: Multimodal Record and Replay. Master, Universität Stuttgart, Stuttgart (2021)

Alten, F.: Direct detection of spin Hall effect induced torques in platinum/ferromagnetic bilayer systems. Master, Universität Stuttgart, Stuttgart (2021)

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)

Petereit, R. C.: Electronics, Software and Analysis of a Bioinspired Sensorized Quadrupedal Robot. Master, Technische Universität München, München (2019)

Bihler, M.: X-ray microscopic characterization of high-T_c-supercoductors using image processing. Master, Universität Stuttgart, Stuttgart (2019)

Buisson-Fenet, M.: Actively Learning Dynamical Systems with Gaussian Processes. Master, Mines ParisTech, Paris (2019)

Nubert, J.: Learning-based Approximate Model Predictive Control with Guarantees. Master, ETH Zürich, Zürich (2019)

Li, G.: Reinforcement Learning for a Two-Robot Table Tennis Simulation. Master, RWTH Aachen University, Aachen (2019)

Konieczny, L.: Characteristics of longitudinal physiological measurements of late-stage ALS patients. Master, Ludwig-Maximilians-Universität München, München (2019)

Xu, J.: Spatial Filtering based on Riemannian Manifold for Brain-Computer Interfacing. Master, Technische Universität München, München (2019)

Guist, S.: Reinforcement Learning for High-Speed Robotics with Muscular Actuation. Master, Universität Heidelberg, Heidelberg (2018)

Suter, R.: A Causal Perspective on Deep Representation Learning. Master, ETH Zürich, Zürich (2018)

Lechner, T.: Domain Adaptation Under Causal Assumptions. Master, Eberhard Karls Universität Tübingen, Tübingen (2018)