Welcome to the website of the Chair of Reliable Machine Learning

Machine Learning Laptop — © colourbox.de

The research group "Reliable Machine Learning" studies the properties of machine learning algorithms.
In view of the recent success of deep learning methods in applications like image recognition, speech recognition, and automatic translation, the group especially focuses on properties of deep neural networks.

Although a neural network trained e.g. for an image classification task might work well on "real inputs", it has been repeatedly shown empirically that such networks are vulnerable to adversarial examples:
a minimal perturbation (impercetible to a human) of the input data can cause the network to misclassify the input.
Thus, an important research area of the group is to mathematically understand the reasons for the existence of such adversarial examples (i.e., the instability of trained neural networks),
and - building on that understanding - to develop improved methods that yield provably robust neural networks.

The research group is supported by the Emmy Noether project "Stability and Solvability in Deep Learning".

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Math News

05-07-2024

Data Lab

This summer, our first Data Science class is starting its fourth semester, which means a premiere for the Data Lab.

In a wide variety of groups, students can refine their specialist knowledge using real data and gain initial experience with external project partners such as AUDI or AIXELO. At the end, the work is presented in a presentation. To provide information about the various projects, an information event was held last week at the Georgianum, at which all supervisors presented their topics. The students then split into the following project groups:

Data-driven prediction of the time-to-sell of used cars/ leasing returns
Deep learning for predicting properties of metal-organic frameworks
Comparison of different methods for Recommender Systems on MovieLens Datasets
Sudoku solver
Discrete (Fast) Fourier Transform and their minors
Dimension reduction
Parameter and its uncertainty estimation
Data science methods for geo data

[Translate to Englisch:] Data Lab Vorstellung Marcel Oliver

MIDS Seminar

Mathematical Institute for Machine Learning and Data Science

The Chair of Reliable Maschine Learning is part of the Mathematical Institute for Machine Learning and Data Science, MIDS.
Learn more about MIDS here.