ics
Baumann, D.
Fast and Resource-Efficient Control of Wireless Cyber-Physical Systems
KTH Royal Institute of Technology, Stockholm, Febuary 2019 (phdthesis)
ei
Rojas-Carulla, M.
Learning Transferable Representations
University of Cambridge, UK, 2019 (phdthesis)
ei
Gu, S.
Sample-efficient deep reinforcement learning for continuous control
University of Cambridge, UK, 2019 (phdthesis)
ei
Ścibior*, A.
Formally justified and modular Bayesian inference for probabilistic programs
University of Cambridge, UK, 2019 (phdthesis)
ei
Xu, J.
Spatial Filtering based on Riemannian Manifold for Brain-Computer Interfacing
Technical University of Munich, Germany, 2019 (mastersthesis)
ei
Weichwald, S.
Pragmatism and Variable Transformations in Causal Modelling
ETH Zurich, 2019 (phdthesis)
mms
Sanli, U. T.
Novel X-ray lenses for direct and coherent imaging
Universität Stuttgart, Stuttgart, 2019 (phdthesis)
ei
Katiyar, P.
Quantification of tumor heterogeneity using PET/MRI and machine learning
Eberhard Karls Universität Tübingen, Germany, 2019 (phdthesis)
ei
Bauer, M.
Advances in Probabilistic Modelling: Sparse Gaussian Processes, Autoencoders, and Few-shot Learning
University of Cambridge, UK, 2019 (phdthesis)
ics
Buisson-Fenet, M.
Actively Learning Dynamical Systems with Gaussian Processes
Mines ParisTech, PSL Research University, 2019 (mastersthesis)
hi
Burka, A. L.
Instrumentation, Data, and Algorithms for Visually Understanding Haptic Surface Properties
University of Pennsylvania, Philadelphia, USA, August 2018, Department of Electrical and Systems Engineering (phdthesis)
hi
Forte, M. P.
Robust Visual Augmented Reality in Robot-Assisted Surgery
Politecnico di Milano, Milan, Italy, July 2018, Department of Electronic, Information, and Biomedical Engineering (mastersthesis)
pf
Alarcon-Correa, M.
Colloidal Chemical Nanomotors
Colloidal Chemical Nanomotors, pages: 150, Cuvillier Verlag, MPI-IS , June 2018 (phdthesis)
ps
Wulff, J.
Model-based Optical Flow: Layers, Learning, and Geometry
Tuebingen University, April 2018 (phdthesis)
ei
Bustamante, S.
A virtual reality environment for experiments in assistive robotics and neural interfaces
Graduate School of Neural Information Processing, Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)
ei
Koc, O.
Optimal Trajectory Generation and Learning Control for Robot Table Tennis
Technical University Darmstadt, Germany, 2018 (phdthesis)
ei
Gebhard, T.
On the Applicability of Machine Learning to Aid the Search for Gravitational Waves at the LIGO Experiment
Karlsruhe Institute of Technology, Germany, 2018 (mastersthesis)
ei
Simon-Gabriel, C. J.
Distribution-Dissimilarities in Machine Learning
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)
ei
Lechner, T.
Domain Adaptation Under Causal Assumptions
Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)
ei
Suter, R.
A Causal Perspective on Deep Representation Learning
ETH Zurich, 2018 (mastersthesis)
ei
pn
Mahsereci, M.
Probabilistic Approaches to Stochastic Optimization
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)
ei
Zabel, S.
Improving Tissue Differentiation based on Optical Emission Spectroscopy for Guided Electrosurgical Tumor Resection with Machine Learning
Eberhard Karls Universität Tübingen, Germany, 2018 (mastersthesis)
ei
Guist, S.
Reinforcement Learning for High-Speed Robotics with Muscular Actuation
Ruprecht-Karls-Universität Heidelberg , 2018 (mastersthesis)
ei
pn
Schober, M.
Probabilistic Ordinary Differential Equation Solvers — Theory and Applications
Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)
ei
Jayaram, V.
A machine learning approach to taking EEG-based computer interfaces out of the lab
Graduate Training Centre of Neuroscience, IMPRS, Eberhard Karls Universität Tübingen, Germany, 2018 (phdthesis)
mms
Chen, Y.
XMCD investigations on new hard magnetic systems
Universität Stuttgart, Stuttgart, 2018 (phdthesis)
mms
Tripathi, S.
XMCD investigation at M4,5 edges of the rare earth elements in high-performance permanent magnet
Universität Stuttgart, Stuttgart, 2018 (phdthesis)
mms
Schulz, F.
Interlayer exchange coupling dependent variation of the saturation magnetization of multilayered systems
Universität Stuttgart, Stuttgart, 2018 (mastersthesis)
mms
Bykova, I.
High-Resolution X-ray Ptychography for Magnetic Imaging
Universität Stuttgart, Stuttgart, 2018 (phdthesis)
ei
BakIr, G.
Extension to Kernel Dependency Estimation with Applications to Robotics
Biologische Kybernetik, Technische Universität Berlin, Berlin, November 2005 (phdthesis)
ei
Hein, M.
Geometrical aspects of statistical learning theory
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 (phdthesis)
ei
Steinke, F.
Implicit Surfaces For Modelling
Human Heads
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, September 2005 (diplomathesis)
ei
Lal, TN.
Machine Learning Methods for Brain-Computer Interdaces
Biologische Kybernetik, University of Darmstadt, September 2005 (phdthesis)
ei
Tanner, TG.
Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain
Biologische Kybernetik, Eberhard-Karls University Tübingen, Tübingen, Germany, May 2005 (diplomathesis)
mms
Harlander, M.
Untersuchung über die Grenzflächenmagnetisierung an (FM) Kobalt- und (AFM) Eisen-Mangan-Schichten
Stuttgart, Universität Stuttgart, 2005 (mastersthesis)