Milosevic, S.: Bayesian decomposition of the galactic multi-frequency sky using probabilistic autoencoders. Master, 69 pp., Ludwig Maximilians Universität München, München, Germany (2020)

Reeb, N.: Reconstruction of bioluminescences sources in the Deep Sea with the ANTARES neutrino telescope. Master, 89 pp., Ludwig Maximilians Universität München, München, Germany (2020)

Roth, J.: Joint bayesian reconstruction of optics and imaged object. Master, 62 pp., Ludwig Maximilians Universität München, München, Germany (2020)

Zehetner, P.: Oceanography with the ANTARES neutrino detector: a 3D reconstruction of light sources in the Deep Sea. Master, 46 pp., Ludwig Maximilians Universität München, München, Germany (2020)

Ringler, J.: The piecewise parabolic Boltzmann method for the advection of multifluids: application to mixing in supernova envelopes. Master, 71 pp., Technische Universität München, München, Germany (2019)

Gashi, F.: Stochastic expectation propagation. Master, 60 pp., Ludwig-Maximilians-Universität, München (2018)

Huber, S.: Time delays in strongly lensed type Ia supernovae with the large synoptic survey telescope. Master, 73 pp., Technische Universität München, München, Germany (2018)

Kresse, D.: Stellar collapse diversity and the diffuse supernova neutrino background. Master, 61 pp., Technische Universität München, München (2018)

Kurthen, M.: Bayesian causal inference. Master, 61 pp., Ludwig-Maximilians-Universität, München (2018)

Lienhard, C.: Hamiltonian Monte Carlo sampling for fields. Master, 67 pp., Ludwig-Maximilians-Universität München, München, Germany (2018)

Oberpriller, J.: Bayesian parameter estimation of miss-specified models. Master, 57 pp., Ludwig-Maximilians-Universität, München (2018)

Schuldt, S.: The inner dark matter distribution of the cosmic horseshoe with gravitational lensing and dynamics. Master, 90 pp., Technische Universität München, München (2018)

Westerkamp, M.: Dynamical field inference via ghost fields. Master, 82 pp., Ludwig-Maximilians-Universität, München (2018)

Dupont, M.: On the practical applications of information field dynamics. Master, 87 pp., Ludwig-Maximilians-Universität München, München, Germany (2017)

Lietzau, S.: Toward automating abundance tomography for type Ia supernova - using machine learning techniques. Master, 80 pp., Technische Universität München, München, Germany (2017)

Mate, A.: Radiation transport in magnetospheres of magnetars. Master, 46 pp., Technische Universität München, München, Germany (2017)

Floers, A.: Nebular spectra of type Ia supernovae. Master, 90 pp., Technische Universität München, München, Germany (2016)

Glas, R. M.: Multidimensional two-moment neutrino transport scheme for core-collapse supernovae: implementation and tests. Master, 71 pp., Technische Universität München, München, Germany (2016)

Glatzle, M.: Implementing Dust in CRASH. Master, 79 pp., Technische Universität München, München, Germany (2016)

Vogl, C.: Towards distance determinations of type II-p supernovae by spectral fitting. Master, 81 pp., Technische Universität München, München, Germany (2016)