2024
ps
Osman, A. A. A.
Digital Human Characters: Challenges, Models and Algorithms
University of Tübingen, September 2024 (phdthesis)
ei
Immer, A.
Advances in Probabilistic Methods for Deep Learning
ETH Zurich, Switzerland, September 2024, CLS PhD Program (phdthesis)
hi
Gong, Y.
Engineering and Evaluating Naturalistic Vibrotactile Feedback for Telerobotic Assembly
University of Stuttgart, Stuttgart, Germany, August 2024, Faculty of Design, Production Engineering and Automotive Engineering (phdthesis)
ei
Park, J.
A Measure-Theoretic Axiomatisation of Causality and Kernel Regression
University of Tübingen, Germany, July 2024 (phdthesis)
ei
Sajjadi, S. M. M.
Enhancement and Evaluation of Deep Generative Networks with Applications in Super-Resolution and Image Generation
University of Tübingen, Germany, July 2024 (phdthesis)
ps
Taheri, O.
Modelling Dynamic 3D Human-Object Interactions: From Capture to Synthesis
University of Tübingen, July 2024 (phdthesis) To be published
ei
Stimper, V.
Advancing Normalising Flows to Model Boltzmann Distributions
University of Cambridge, UK, Cambridge, June 2024, (Cambridge-Tübingen-Fellowship-Program) (phdthesis)
ei
von Kügelgen, J.
Identifiable Causal Representation Learning
University of Cambridge, UK, Cambridge, February 2024, (Cambridge-Tübingen-Fellowship) (phdthesis)
hi
Burns, R.
Creating a Haptic Empathetic Robot Animal That Feels Touch and Emotion
University of Tübingen, Tübingen, Germany, February 2024, Department of Computer Science (phdthesis)
ps
Müller, L.
Self- and Interpersonal Contact in 3D Human Mesh Reconstruction
University of Tübingen, Tübingen, 2024 (phdthesis)
ps
Petrovich, M.
Natural Language Control for 3D Human Motion Synthesis
LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, 2024 (phdthesis)
2023
sf
Barocas, S., Hardt, M., Narayanan, A.
Fairness in Machine Learning: Limitations and Opportunities
MIT Press, December 2023 (book)
ei
Jenny, D.
Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures
ETH Zurich, Switzerland, November 2023, external supervision (thesis)
hi
Mohan, M.
Gesture-Based Nonverbal Interaction for Exercise Robots
University of Tübingen, Tübingen, Germany, October 2023, Department of Computer Science (phdthesis)
ei
Karimi, A.
Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness
ETH Zurich, Switzerland, July 2023 (phdthesis)
ei
Kübler, J. M.
Learning and Testing Powerful Hypotheses
University of Tübingen, Germany, July 2023 (phdthesis)
ei
Gresele, L.
Learning Identifiable Representations: Independent Influences and Multiple Views
University of Tübingen, Germany, June 2023 (phdthesis)
ei
Paulus, M.
Learning with and for discrete optimization
ETH Zurich, Switzerland, May 2023, CLS PhD Program (phdthesis)
ei
Jin, Z., Mihalcea, R.
Natural Language Processing for Policymaking
In Handbook of Computational Social Science for Policy, pages: 141-162, 7, (Editors: Bertoni, E. and Fontana, M. and Gabrielli, L. and Signorelli, S. and Vespe, M.), Springer International Publishing, 2023 (inbook)
ev
Strecke, M. F.
Object-Level Dynamic Scene Reconstruction With Physical Plausibility From RGB-D Images
Eberhard Karls Universität Tübingen, Tübingen, 2023 (phdthesis)
mms
Baluktsian, M.
Wave front shaping with zone plates: Fabrication and characterization of lenses for soft x-ray applications from standard to singular optics
Universität Stuttgart, Stuttgart (und Verlag Dr. Hut, München), 2023 (phdthesis)
mms
Bubeck, C.
Tailored perovskite-type oxynitride semiconductors and oxides with advanced physical properties
Technische Universität Darmstadt, Darmstadt, 2023 (phdthesis)
mms
Schulz, Frank Martin Ernst
Static and dynamic investigation of magnonic systems: materials, applications and modeling
Universität Stuttgart, Stuttgart, 2023 (phdthesis)
2022
hi
Richardson, B.
Multi-Timescale Representation Learning of Human and Robot Haptic Interactions
University of Stuttgart, Stuttgart, Germany, December 2022, Faculty of Computer Science, Electrical Engineering and Information Technology (phdthesis)
ps
Choutas, V.
Reconstructing Expressive 3D Humans from RGB Images
ETH Zurich, Max Planck Institute for Intelligent Systems and ETH Zurich, December 2022 (phdthesis)
dlg
Sarvestani, L. A.
Mechanical Design, Development and Testing of Bioinspired Legged Robots for Dynamic Locomotion
Eberhard Karls Universität Tübingen, Tübingen , November 2022 (phdthesis)
ei
Neitz, A.
Towards learning mechanistic models at the right level of abstraction
University of Tübingen, Germany, November 2022 (phdthesis)
pf
Qiu, T., Jeong, M., Goyal, R., Kadiri, V., Sachs, J., Fischer, P.
Magnetic Micro-/Nanopropellers for Biomedicine
In Field-Driven Micro and Nanorobots for Biology and Medicine, pages: 389-410, 16, (Editors: Sun, Y. and Wang, X. and Yu, J.), Springer, Cham, 2022 (inbook)
re
Lieder, F., Prentice, M.
Life Improvement Science
In Encyclopedia of Quality of Life and Well-Being Research, Springer, November 2022 (inbook)
ei
Lu, C.
Learning Causal Representations for Generalization and Adaptation in Supervised, Imitation, and Reinforcement Learning
University of Cambridge, UK, Cambridge, October 2022, (Cambridge-Tübingen-Fellowship) (phdthesis)
hi
Nam, S.
Understanding the Influence of Moisture on Fingerpad-Surface Interactions
University of Tübingen, Tübingen, Germany, October 2022, Department of Computer Science (phdthesis)
ei
Wenk, P.
Learning Time-Continuous Dynamics Models with Gaussian-Process-Based Gradient Matching
ETH Zurich, Switzerland, October 2022, CLS PhD Program (phdthesis)
ei
Schölkopf, B.
Causality, causal digital twins, and their applications
Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382), (Editors: Berens, Philipp and Cranmer, Kyle and Lawrence, Neil D. and von Luxburg, Ulrike and Montgomery, Jessica), September 2022 (talk)
ei
Tabibian, B.
Methods for Minimizing the Spread of Misinformation on the Web
University of Tübingen, Germany, September 2022 (phdthesis)
sf
Hardt, M., Recht, B.
Patterns, Predictions, and Actions: Foundations of Machine Learning
Princeton University Press, August 2022 (book)
ei
Huang, B.
Learning and Using Causal Knowledge: A Further Step Towards a Higher-Level Intelligence
Carnegie Mellon University, Pittsburgh, USA, July 2022 (phdthesis)
ei
Huang, B.
Learning and Using Causal Knowledge: A Further Step Towards a Higher-Level Intelligence
Carnegie Mellon University, July 2022, external supervision (phdthesis)
ei
Ialongo, A.
Variational Inference in Dynamical Systems
University of Cambridge, UK, Cambridge, February 2022, (Cambridge-Tübingen-Fellowship) (phdthesis)
mms
Groß, F.
Entwicklung von Methoden und Bausteinen zur Realisierung Komplexer Magnonischer Systeme
Universität Stuttgart, Stuttgart (und Cuvillier Verlag, Göttingen), 2022 (phdthesis)
al
Sun, H.
Machine-Learning-Driven Haptic Sensor Design
University of Tuebingen, Library, 2022 (phdthesis)
ei
Peters, J., Bauer, S., Pfister, N.
Causal Models for Dynamical Systems
In Probabilistic and Causal Inference: The Works of Judea Pearl, pages: 671-690, 1, Association for Computing Machinery, 2022 (inbook)
mms
Dogan, G.
Deposition and characterization of multi-functional, complex thin films using atomic layer deposition for copper corrosion protection
Universität Stuttgart, Stuttgart, 2022 (phdthesis)
ei
plg
Karimi, A. H., von Kügelgen, J., Schölkopf, B., Valera, I.
Towards Causal Algorithmic Recourse
In xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers, pages: 139-166, (Editors: Holzinger, Andreas and Goebel, Randy and Fong, Ruth and Moon, Taesup and Müller, Klaus-Robert and Samek, Wojciech), Springer International Publishing, 2022 (inbook)
pi
Wang, T.
Advanced Miniature Soft Robotic Systems
ETH Zürich , Zürich, 2022 (phdthesis)
ei
Salewski, L., Koepke, A. S., Lensch, H. P. A., Akata, Z.
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
In xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers, pages: 69-88, (Editors: Holzinger, Andreas and Goebel, Randy and Fong, Ruth and Moon, Taesup and Müller, Klaus-Robert and Samek, Wojciech), Springer International Publishing, 2022 (inbook)
ei
Schölkopf, B.
Causality for Machine Learning
In Probabilistic and Causal Inference: The Works of Judea Pearl, pages: 765-804, 1, Association for Computing Machinery, New York, NY, USA, 2022 (inbook)
2021
ics
Doerr, A.
Models for Data-Efficient Reinforcement Learning on Real-World Applications
University of Stuttgart, Stuttgart, October 2021 (phdthesis)
ev
Strecke, M., Stückler, J.
Physically Plausible Tracking & Reconstruction of Dynamic Objects
KIT Science Week Scientific Conference & DGR-Days 2021, October 2021 (talk)
ei
Mehrjou, A.
Dynamics of Learning and Learning of Dynamics
ETH Zürich, Zürich, October 2021 (phdthesis)
ei
Hohmann, M.
A Large Scale Brain-Computer Interface for Patients with Neurological Diseases
University of Tübingen, Germany, September 2021 (phdthesis)