33 results
(View BibTeX file of all listed publications)

**Towards Geometric Understanding of Motion**
University of Tübingen, December 2019 (phdthesis)

**Robot Learning for Muscular Robots**
Technical University Darmstadt, Germany, December 2019 (phdthesis)

**Real Time Probabilistic Models for Robot Trajectories**
Technical University Darmstadt, Germany, December 2019 (phdthesis)

**Actively Learning Gaussian Process Dynamics**
2019 (techreport) Submitted

**Fast and Resource-Efficient Control of Wireless Cyber-Physical Systems**
KTH Royal Institute of Technology, Stockholm, Febuary 2019 (phdthesis)

**Learning Transferable Representations**
University of Cambridge, UK, 2019 (phdthesis)

**Sample-efficient deep reinforcement learning for continuous control**
University of Cambridge, UK, 2019 (phdthesis)

**Formally justified and modular Bayesian inference for probabilistic programs**
University of Cambridge, UK, 2019 (phdthesis)

**Load-inducing factors in instructional design: Process-related advances in theory and assessment**
TU Chemnitz, 2019 (phdthesis)

**Spatial Filtering based on Riemannian Manifold for Brain-Computer Interfacing**
Technical University of Munich, Germany, 2019 (mastersthesis)

**Pragmatism and Variable Transformations in Causal Modelling**
ETH Zurich, 2019 (phdthesis)

**Novel X-ray lenses for direct and coherent imaging**
Universität Stuttgart, Stuttgart, 2019 (phdthesis)

**Prototyping Micro- and Nano-Optics with Focused Ion Beam Lithography**
SL48, pages: 46, SPIE.Spotlight, SPIE Press, Bellingham, WA, 2019 (book)

**Quantification of tumor heterogeneity using PET/MRI and machine learning**
Eberhard Karls Universität Tübingen, Germany, 2019 (phdthesis)

ics
Solowjow, F., Trimpe, S.
**Event-triggered Learning**
2019 (techreport) Submitted

**Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning**
University of Cambridge, UK, 2019 (phdthesis)

**Event-triggered Learning for Linear Quadratic Control**
2019 (techreport)

**Actively Learning Dynamical Systems with Gaussian Processes**
Mines ParisTech, PSL Research University, 2019 (mastersthesis)

**Some Aspects of Modelling Human Spatial Vision: Contrast Discrimination**
University of Oxford, University of Oxford, October 1999 (phdthesis)

**Estimating the support of a high-dimensional distribution**
(MSR-TR-99-87), Microsoft Research, 1999 (techreport)

**Generalization Bounds via Eigenvalues of the Gram matrix**
(99-035), NeuroCOLT, 1999 (techreport)

**Apprentissage Automatique et Simplicite**
Biologische Kybernetik, 1999, In french (diplomathesis)

**Sparse kernel feature analysis**
(99-04), Data Mining Institute, 1999, 24th Annual Conference of Gesellschaft f{\"u}r Klassifikation, University of Passau (techreport)

**Machine Learning and Language Acquisition: A Model of Child’s Learning of Turkish Morphophonology**
Middle East Technical University, Ankara, Turkey, 1999 (mastersthesis)

**Advances in Kernel Methods - Support Vector Learning**
MIT Press, Cambridge, MA, 1999 (book)

**The DELVE user manual**
Department of Computer Science, University of Toronto, December 1996 (techreport)

**Nonlinear Component Analysis as a Kernel Eigenvalue Problem**
(44), Max Planck Institute for Biological Cybernetics Tübingen, December 1996, This technical report has also been published elsewhere (techreport)

**Learning View Graphs for Robot Navigation**
(33), Max Planck Institute for Biological Cybernetics, Tübingen,, July 1996 (techreport)

**Mixture Models for Image Representation**
PRECARN ARK Project Technical Report ARK96-PUB-54, March 1996 (techreport)

**Evaluation of Gaussian Processes and other Methods for Non-Linear Regression**
Biologische Kybernetik, Graduate Department of Computer Science, Univeristy of Toronto, 1996 (phdthesis)

**A New Method for Constructing Artificial Neural Networks**
AT & T Bell Laboratories, 1995 (techreport)