Huang, B.: Learning and Using Causal Knowledge: A Further Step Towards a Higher-Level Intelligence. Dissertation, Carnegie Mellon University, Pittsburgh, PA (2022)

Sachs, J.: Motion, Symmetry & Spectroscopy of Chiral Nanostructures. Dissertation, XVII, 116 S., Universität Stuttgart, Stuttgart (und Springer, Cham) (2022)

Dörr, A.: Models for Data-Efficient Reinforcement Learning on Real-World Applications. Dissertation, Universität Stuttgart, Stuttgart (2021)

Mehrjou, A.: Dynamics of Learning and Learning of Dynamics. Dissertation, ETH Zürich, Zürich (2021)

Parascandolo, G.: Deep Learning Beyond The Training Distribution. Dissertation, ETH Zürich, Zürich (2021)

Block, A. E.: HuggieBot: An Interactive Hugging Robot With Visual and Haptic Perception. Dissertation, ETH Zürich, Zürich (2021)

Träger, N.-A.: Röntgenmikroskopische Untersuchungen der Magnetisierungsdynamik in nanoskaligen magnonischen Wellenleiterstrukturen. Dissertation, 205 S., Universität Stuttgart, Stuttgart (und Cuvillier Verlag, Göttingen) (2021)

Yu, T.: Chemically active micromotors. Dissertation, Universität Stuttgart, Stuttgart (2021)

Meding, K.: Causal inference in vision. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2021)

Drama, Ö.: Control Mechanisms for Postural Stability and Trunk Motion in Bipedal Running. Dissertation, Universität Stuttgart, Stuttgart (2021)

Günther, J.-P.: Advanced Diffusion Studies of Active Enzymes and Nanosystems. Dissertation, XIX, 165 Seiten S., Universität Stuttgart, Stuttgart (und Cuvillier Verlag, Göttingen) (2021)

Bradshaw, J. A.: Machine Learning Methods for Modeling Synthesizable Molecules. Dissertation, University of Cambridge, Cambridge (2021)

Bécigneul, G.: On the Geometry of Data Representations. Dissertation, ETH Zürich, Zürich, Schweiz (2021)

Rubenstein, P. K.: Advances in Latent Variable and Causal Models. Dissertation, University of Cambridge, Cambridge, UK (2021)

Mastakouri, A. A.: Causal Feature Selection in Neuroscience. Dissertation, xxxv, 169 S., Eberhards Karls Universität Tübingen, Tübingen (2020)

Baumann, D.: Learning and Control Strategies for Cyber-physical Systems: From Wireless Control over Deep Reinforcement Learning to Causal Identification. Dissertation, KTH Royal Institute of Technology, Stockholm (2020)

Young, E. M.: Delivering Expressive and Personalized Fingertip Tactile Cues. Dissertation, University of Pennsylvania, Philadelphia, PA (2020)

Förster, J.: Spin-Bahn-Effekte in der Vortexdynamik und kürzeste Spinwellen in Y₃Fe₅O₁₂. Dissertation, 210 S., Universität Stuttgart, Stuttgart (und Cuvillier Verlag, Göttingen) (2020)

Hu, S.: Modulating Physical Interactions in Human-Assistive Technologies. Dissertation, University of Pennsylvania, Philadelphia, PA (2020)

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