Bachelorarbeiten

• Asri Ferati - Konsistente Kernel Erwartungswert-Schätzung für Funktionen von Zufallsvariablen
• Paul Can Baylan - Implementing Survey Propagation
• Christian Bohlmann - Zur Schrittweitenwahl beim Verfahren des steilsten Abstiegs bei konvexen quadratischen Funktionen
• Renato Vukovic - Chatbots with Deep Learning
• Yannic Neuhaus - Implementing AlphaZero for small board games
• Cornelius Crijnen - Playing Go with Recurrent Neural Networks
• Michael Janschek - Classification of Data from the ATLAS experiment
• Jan Robine - Actor-Critic Reinforcement Learning
• Felix Michels - Adversarial Attacks on Capsule Networks
• Sebastian Konietzny - Implementing Continuous High-Resolution Image Reconstruction using Patch Priors
• Julian Ullrich - Q-Prop based reinforcement learning
• Marc Höftmann - Proximal policy optimization (PPO)

Masterarbeiten

• Alexander Oberstraß - Deep Learning Methods for Phase Retrieval
• Thomas Germer - Alpha Matting Revisited
• Eric Upschulte - Capsules for Generative Adversarial Networks
• Tobias Uelwer - Bayesian Methods for Deep Learning