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Writing a Thesis at Our Group

Please do not hesitate to contact any member of our group if you are interested at writing a thesis at our group. 

Completed Theses (at University of Düsseldorf)

Bachelor Theses (2015-2022):
  • Active pre-training with phasic policy gradient
  • Classification models for argument recommender systems
  • Phase retrieval with attention
  • Deep learning of financial market dynamics
  • Multi-stage progressive image dehazing
  • Contrastive self-supervised pretraining of vison transformers
  • Erweiterung und Evaluation der Neural Power Unit
  • Pay attention to what you calculate: transformer-based approach on recognition of handwritten mathematical expressions
  • Ein nicht-operatorbasierter Ansatz für das Conditional Kernel Mean Embedding
  • Using unrolled networks for reference based Fourier phase retrieval
  • Echtzeiterkennung mit YOLO
  • Dynamically modifying ML programs for automated machine learning
  • Learning by self-play in turn-based environments
  • Natural gradient boosting for classification
  • Deep cascading Fourier phase retrieval
  • Post-hoc model interpretability vs. intrinsic model interpretability
  • Implementing and benchmarking various classes of normalizing flows
  • Graph-based semi-supervised leraning with GPs
  • Graph-based semi-supervised learning: the distribution of labels
  • Learning to write to learn to read
  • MRI contrast mapping using machine learning
  • Lottery ticket hypothesis - seeking capable subnetworks
  • Integrating the Game CATAN into the RL Framework OpenSpiel
  • Machine Learning auf Sätzen und ihren semantischen Frames
  • Konsistente Kernel Erwartungswert-Schätzung für Funktionen von Zufallsvariablen
  • Implementing Continuous High-Resolution Image Reconstruction using Patch Priors
  • Adversarial attacks on capsule networks
  • Implementing survey propagation
  • Optimization of submodular functions
  • Nicht-lineare ICA mit neuronalen Netzen
  • Chatbots with deep learning
  • Implementing AlphaZero for small board games
  • Playing Go with Recurrent Neural Networks
  • Actor-critic reinforcement learning with experience replay
  • Proximal policy optimization (PPO)
  • Reimplementing and extending Tesauro's TD-Gammon
  • A ML approach to detect and classify spores in microscopy images
  • Actor-Critic Reinforcement Learning
  • Analyzing Brain Images with Deep Learning
  • Deep Q-Learning in TensorFlow
  • Grade prediction with machine learning
  • Implementation of variational autoencoder
  • Classification of data from the ATLAS experiments 
  • Collaborative filtering 
  • Causal relations for two random variable
  • Representing distributions as mixture of Gaussians
  • Finding stars in traces      
Master Theses (2015-2022):
  • Why don't we have robust classifiers?
  • Could Brothers Grimm Create a Dictionary with BERT?
  • Topic-aware approaches to Natural Language Processing
  • Latent optimization for deep generative phase retrieval
  • Cyclophobic reinforcement learning
  • Erweiterung von fortschrittlichen Reinforcement Learning Algorithmen
  • Classical and integer linear programming approaches to learning causal structure
  • Towards better understanding stochastic gradient descent for deep learning
  • World models for reinforcement learning
  • Measuring the similarity of arguments with BERT
  • Scaling deep reinforcement learning
  • Deep learning methods for phase retrieval
  • Alpha matting revisited
  • Capsules for generative adversarial networks
  • Bayesian methods for deep learning
  • MCMC for Bayesian computation in causal inference
  • Multiframe blind deconvolution with lots of noise
  • Probabilistic programming in Julia              

Location & approach

The campus of TU Dort­mund University is located close to interstate junction Dort­mund West, where the Sauerlandlinie A 45 (Frankfurt-Dort­mund) crosses the Ruhrschnellweg B 1 / A 40. The best interstate exit to take from A 45 is “Dort­mund-Eichlinghofen” (closer to South Campus), and from B 1 / A 40 “Dort­mund-Dorstfeld” (closer to North Campus). Signs for the uni­ver­si­ty are located at both exits. Also, there is a new exit before you pass over the B 1-bridge leading into Dort­mund.

To get from North Campus to South Campus by car, there is the connection via Vogelpothsweg/Baroper Straße. We recommend you leave your car on one of the parking lots at North Campus and use the H-Bahn (suspended monorail system), which conveniently connects the two campuses.

TU Dort­mund University has its own train station (“Dort­mund Uni­ver­si­tät”). From there, suburban trains (S-Bahn) leave for Dort­mund main station (“Dort­mund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The uni­ver­si­ty is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dort­mund city to the uni­ver­si­ty: From Dort­mund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dort­mund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dort­mund main station to the stop “Dort­mund Kampstraße”. From there, take U43 or U44 to the stop “Dort­mund Wittener Straße”. Switch to bus line 447 and get off at “Dort­mund Uni­ver­si­tät S”.

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

The H-Bahn is one of the hallmarks of TU Dort­mund University. There are two stations on North Campus. One (“Dort­mund Uni­ver­si­tät S”) is directly located at the suburban train stop, which connects the uni­ver­si­ty directly with the city of Dort­mund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent “Technologiepark”.

Site Map of TU Dortmund University (Second Page in English).