Chen, X.: Learning Clothed 3D Human Models with Articulated Neural Implicit Representations. Dissertation, ETH Zürich, Zürich (2023)

Karimi, A.-H.: Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness. Dissertation, ETH Zürich, Zürich (2023)

Paulus, M. B.: Learning with and for discrete optimization. Dissertation, ETH Zürich, Zürich (2023)

Pinneri, C.: Sample-efficient Model-based Reinforcement Learning. Dissertation, ETH Zürich, Zürich (2023)

Rueegg, N.: Monocular 3D Shape and Pose Estimation for Humans and Animals. Dissertation, ETH Zürich, Zürich (2023)

Tiryaki, M. E.: MRI-powered Magnetic Microrobotics. Dissertation, ETH Zürich, Zürich (2023)

Richardson, B. A.: Multi-Timescale Representation Learning of Human and Robot Haptic Interactions. Dissertation, Universität Stuttgart, Stuttgart (2022)

Wenk, P.: Learning time-continuous dynamics models with Gaussian-process-based gradient matching. Dissertation, ETH Zürich, Zürich (2022)

Huang, Y.: Whole-Body Motion Capture and Beyond: From Model-Based Inference to Learning-Based Regression. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2022)

Blaes, S.: Nature-Inspired Inductive Biases in Learning Robots. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2022)

Ghosh, P.: Reining in the Deep Generative Models. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2022)

Neitz, A.: Towards learning mechanistic models at the right level of abstraction. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2022)

Zietlow, D.: An Analysis of the Inner Workings of Variational Autoencoders. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2022)

Nam, S.: Understanding the Influence of Moisture on Fingerpad-Surface Interactions. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2022)

Tabibian, B.: Methods for Minimizing the Spread of Misinformation on the Web. Dissertation, Eberhard Karls Universität Tübingen, Tübingen (2022)

Ialongo, A. D.: Variational Inference in Dynamical Systems. Dissertation, University of Cambridge, Cambridge (2022)

Groß, F.: Entwicklung von Methoden und Bausteinen zur Realisierung Komplexer Magnonischer Systeme. Dissertation, 165 S., Universität Stuttgart, Stuttgart (und Cuvillier Verlag, Göttingen) (2022)

Lu, C.: Learning Causal Representations for Generalization and Adaptation in Supervised, Imitation, and Reinforcement Learning. Dissertation, University of Cambridge, Cambridge (2022)

Dogan, G.: Deposition and characterization of multi-functional, complex thin films using atomic layer deposition for copper corrosion protection. Dissertation, Universität Stuttgart, Stuttgart (2022)

Choutas, V.: Reconstructing Expressive 3D Humans from RGB Images. Dissertation, ETH Zürich, Zürich (2022)