37 results
(View BibTeX file of all listed publications)

**Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources**
*In Proceedings of the 58th IEEE International Conference on Decision and Control (CDC) *, 58th IEEE International Conference on Decision and Control (CDC), December 2019 (proceedings) Accepted

**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)

**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)

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

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

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

**Human Shape Estimation using Statistical Body Models**
University of Tübingen, May 2017 (thesis)

**Nonparametric Disturbance Correction and Nonlinear Dual Control**
(24098), ETH Zurich, 2017 (phdthesis)

**Learning Inference Models for Computer Vision**
MPI for Intelligent Systems and University of Tübingen, 2017 (phdthesis)

**Development and Evaluation of a Portable BCI System for Remote Data Acquisition**
Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2017 (mastersthesis)

**Brain-Computer Interfaces for patients with Amyotrophic Lateral Sclerosis**
Eberhard Karls Universität Tübingen, Germany, 2017 (phdthesis)

**Causal models for decision making via integrative inference**
University of Stuttgart, Germany, 2017 (phdthesis)

**Capturing Hand-Object Interaction and Reconstruction of Manipulated Objects**
University of Bonn, 2017 (phdthesis)

**Evaluation of the passive dynamics of compliant legs with inertia**
University of Applied Science Pforzheim, Germany, 2017 (mastersthesis)

**Learning Optimal Configurations for Modeling Frowning by Transcranial Electrical Stimulation**
Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2017 (mastersthesis)

**Understanding FORC using synthetic micro-structured systems with variable coupling- and coercivefield distributions**
Universität Stuttgart, Stuttgart, 2017 (mastersthesis)

**Using FORC to understand the microstructure-micromagnetism relationship in supermagnets**
Universität Stuttgart, Stuttgart, 2017 (mastersthesis)

**Adsorption von Wasserstoffmolekülen in nanoporösen Gerüststrukturen**
Universität Stuttgart, Stuttgart, 2017 (mastersthesis)

**Tailored magnetic properties of exchange-spring and ultra hard nanomagnets**
Universität Stuttgart, Stuttgart, 2017 (phdthesis)

**Voltage induced near interface changes of the magnetocrystalline anisotropy energy: A study by X-ray resonant techniques in combination with conventional magnetometry**
Universität Stuttgart, Stuttgart, 2017 (mastersthesis)

**Some thoughts about Gaussian Processes**
NIPS Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 (talk)

ei
Chapelle, O.
**A taxonomy of semi-supervised learning algorithms**
Yahoo!, December 2005 (talk)

**Extension to Kernel Dependency Estimation with Applications to Robotics**
Biologische Kybernetik, Technische Universität Berlin, Berlin, November 2005 (phdthesis)

**Geometrical aspects of statistical learning theory**
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 (phdthesis)

**Implicit Surfaces For Modelling
Human Heads**
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, September 2005 (diplomathesis)

**Machine Learning Methods for Brain-Computer Interdaces**
Biologische Kybernetik, University of Darmstadt, September 2005 (phdthesis)

**Building Sparse Large Margin Classifiers**
The 22nd International Conference on Machine Learning (ICML), August 2005 (talk)

**Learning from Labeled and Unlabeled Data on a Directed Graph**
The 22nd International Conference on Machine Learning, August 2005 (talk)

**Machine-Learning Approaches to BCI in Tübingen**
Brain-Computer Interface Technology, June 2005, Talk given by NJH. (talk)

**Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain**
Biologische Kybernetik, Eberhard-Karls University Tübingen, Tübingen, Germany, May 2005 (diplomathesis)

**Kernel Constrained Covariance for Dependence Measurement**
AISTATS, January 2005 (talk)

**Untersuchung über die Grenzflächenmagnetisierung an (FM) Kobalt- und (AFM) Eisen-Mangan-Schichten**
Stuttgart, Universität Stuttgart, 2005 (mastersthesis)