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)
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