Colloquium Jacques Morgenstern

The material flow problems under consideration are inspired by real experiments and allow for a multi-scale model hierarchy description.

Adaptation is a recurring theme in biology, offering vital survival mechanisms in dynamic environments through precise regulation of physiological variables. This talk dives into the intriguing

Community detection is one of most prominent tasks in the analysis of complex networks such as social networks, biological networks, and the world wide web. A community is loosely defined as a group

Graph similarity is the basis for many graph and network analyzing tasks.We will discuss similarity concepts for graphs that are relevant for analysis tasks on graph data sets. These include graph

Integrating Simulation, Machine Learning, and High-performance Computing to Support Public Health Decision Making

Research in Knowledge-Enhanced Machine Learning at the Center for Artificial Intelligence (C4AI)

Information Structures for Privacy and Fairness

This seminar will talk about some of the privacy risks of these systems and will describe some recent attacks. It will also discuss why they sometimes fail to deliver. Finally, we will also show that

Statistical Learning Theory for Modern Machine Learning

Freedom of the press is under threat worldwide, and the quality of information that people have access to is dangerously degraded, under the joint threat of non-democratic governments and fake

Modern programming languages such as Java, Scala, and Rust are examples of concurrent higher-order imperative programming languages.

Recently, many societies seem to shift towards more polarization and volatility in opinions, for example in attitudes about immigration, climate policy, or the best policy response to Covid-19. A