2024
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)
hi
Matthew, V., Simancek, R. E., Telepo, E., Machesky, J., Willman, H., Ismail, A. B., Schulz, A. K.
Empowering Change: The Role of Student Changemakers in Advancing Sustainability within Engineering Education
Proceedings of the American Society of Engineering Education (ASEE), June 2024, Victoria Matthew and Andrew K. Schulz contributed equally to this publication. (issue) In press
ei
Stimper, V.
Advancing Normalising Flows to Model Boltzmann Distributions
University of Cambridge, UK, Cambridge, June 2024, (Cambridge-Tübingen-Fellowship-Program) (phdthesis)
ei
Ortu, F.
Interpreting How Large Language Models Handle Facts and Counterfactuals through Mechanistic Interpretability
University of Trieste, Italy, March 2024 (mastersthesis)
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)
lds
Eberhard, O., Vernade, C., Muehlebach, M.
A Pontryagin Perspective on Reinforcement Learning
Max Planck Institute for Intelligent Systems, 2024 (techreport)
ps
Müller, L.
Self- and Interpersonal Contact in 3D Human Mesh Reconstruction
University of Tübingen, Tübingen, 2024 (phdthesis)
lds
Er, D., Trimpe, S., Muehlebach, M.
Distributed Event-Based Learning via ADMM
Max Planck Institute for Intelligent Systems, 2024 (techreport)
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
Sakenyte, U.
Denoising Representation Learning for Causal Discovery
Université de Genèva, Switzerland, December 2023, external supervision (mastersthesis)
hi
Mohan, M.
Gesture-Based Nonverbal Interaction for Exercise Robots
University of Tübingen, Tübingen, Germany, October 2023, Department of Computer Science (phdthesis)
ei
Kofler, A.
Efficient Sampling from Differentiable Matrix Elements
Technical University of Munich, Germany, September 2023 (mastersthesis)
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
Spieler, A. M.
Intrinsic complexity and mechanisms of expressivity of cortical neurons
University of Tübingen, Germany, March 2023 (mastersthesis)
lds
ei
Kladny, K.
CausalEffect Estimation by Combining Observational and Interventional Data
ETH Zurich, Switzerland, February 2023 (mastersthesis)
ei
Qui, Z.
Towards Generative Machine Teaching
Technical University of Munich, Germany, February 2023 (mastersthesis)
ei
Schneider, F.
ArchiSound: Audio Generation with Diffusion
ETH Zurich, Switzerland, January 2023, external supervision (mastersthesis)
ei
Dittrich, A.
Generation and Quantification of Spin in Robot Table Tennis
University of Stuttgart, Germany, January 2023 (mastersthesis)
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)
ei
Berenz, V., Widmaier, F., Guist, S., Schölkopf, B., Büchler, D.
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
Robot Software Architectures Workshop (RSA) 2023, ICRA, 2023 (techreport)
ev
Elich, C., Kirchdorfer, L., Köhler, J. M., Schott, L.
Challenging Common Assumptions in Multi-task Learning
abs/2311.04698, CoRR/arxiv, 2023 (techreport)
mms
Schulz, Frank Martin Ernst
Static and dynamic investigation of magnonic systems: materials, applications and modeling
Universität Stuttgart, Stuttgart, 2023 (phdthesis)
2022
ps
Choutas, V.
Reconstructing Expressive 3D Humans from RGB Images
ETH Zurich, Max Planck Institute for Intelligent Systems and ETH Zurich, December 2022 (thesis)
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)
ei
Neitz, A.
Towards learning mechanistic models at the right level of abstraction
University of Tübingen, Germany, November 2022 (phdthesis)
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
Liang, W.
Investigating Independent Mechanisms in Neural Networks
Université Paris-Saclay, France, October 2022 (mastersthesis)
ei
Keidar, D.
Modeling subgroup differences in fMRI data: disentangling subgroup-specific responses from shared ones
ETH Zurich, Switzerland, October 2022 (mastersthesis)
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
Feil, M.
Multi-Target Multi-Object Manipulation using Relational Deep Reinforcement Learning
Technnical University Munich, Germany, September 2022 (mastersthesis)
ei
Sliwa, J.
Independent Mechanism Analysis for High Dimensions
University of Tübingen, Germany, September 2022, (Graduate Training Centre of Neuroscience) (mastersthesis)
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
Dominguez-Olmedo, R.
On the Adversarial Robustness of Causal Algorithmic Recourse
University of Tübingen, Germany, August 2022 (mastersthesis)
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
Ghosh, S.
Independent Mechanism Analysis in High-Dimensional Observation Spaces
ETH Zurich, Switzerland, June 2022 (mastersthesis)
dlg
Ruppert, F., Badri-Spröwitz, A.
Learning Plastic Matching of Robot Dynamics in Closed-Loop Central Pattern Generators: Data
Edmond, May 2022 (techreport)
ei
Schölkopf, B., Uhler, C., Zhang, K.
Proceedings of the First Conference on Causal Learning and Reasoning (CLeaR 2022)
177, Proceedings of Machine Learning Research, PMLR, April 2022 (proceedings)
dlg
pi
Badri-Spröwitz, A., Sarvestani, A. A., Sitti, M., Daley, M. A.
Data for BirdBot Achieves Energy-Efficient Gait with Minimal Control Using Avian-Inspired Leg Clutching
Edmond, March 2022 (techreport)