Colloquium Jacques Morgenstern

Recent advances in machine learning have shown remarkable progress in the 2D and video domain, fueled by very large-scale data and compute. 3D, however, which is critical for applications spanning

Les réseaux sans fil sont l'incarnation la plus intéressante des technologies de télécommunication. Ils sont les plus influencés par la physique de l'espace et du temps.

Spikes and rhythms organize control and communication in the animal world, in contrast to the bits and clocks of digital technology. As continuous-time signals that can be counted, spikes have a mixed

Le calcul modulaire est utilisé dans de nombreuses applications des mathématiques, telles que la cryptographie. La réduction modulaire dans un contexte très général est coûteuse, car elle n

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