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)
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