ML Methods dealing with Robustness, Adversarial Attacks. Working with Graphical and Temporal Data. Part of coursework Lecture: Machine Learning for Graphs and Sequential Data
Project 1a: Normalizing Flows
Project 1b: Variational Autoencoders
Project 2: Robustness of Machine Learning Models
Project 3: Word2Vec (Natural Language Processing example)
Project 4: Spectral Clustering
Project 5: Graph Neural Networks
Solutions private. Available on Request. Course Website: https://www.in.tum.de/en/daml/teaching/summer-term-2020/machine-learning-for-graphs-and-sequential-data/