no code implementations • 13 Nov 2023 • Julian Golembiewski, Marcus Schmidt, Benedikt Terschluse, Thomas Jaitner, Thomas Liebig, Timm Faulwasser
We investigate the dynamics of a bicycle on an uneven mountain bike track split into straight sections with small jumps (kickers) and banked corners.
no code implementations • 2 Oct 2023 • Andreas Roth, Thomas Liebig
Our work explores this phenomenon in graph neural networks by investigating differences between models differing only in their initializations in their utilized features for predictions.
1 code implementation • 31 Aug 2023 • Cedric Sanders, Andreas Roth, Thomas Liebig
CurvPool exploits the notion of curvature of a graph to adaptively identify structures responsible for both over-smoothing and over-squashing.
1 code implementation • 31 Aug 2023 • Andreas Roth, Thomas Liebig
Our study reveals new theoretical insights into over-smoothing and feature over-correlation in deep graph neural networks.
no code implementations • 15 Jan 2023 • Timon Sachweh, Daniel Boiar, Thomas Liebig
Data privacy and decentralised data collection has become more and more popular in recent years.
no code implementations • 27 Dec 2022 • Daniel Boiar, Thomas Liebig, Erich Schubert
Support Vector Machines have been successfully used for one-class classification (OCSVM, SVDD) when trained on clean data, but they work much worse on dirty data: outliers present in the training data tend to become support vectors, and are hence considered "normal".
no code implementations • 21 Nov 2022 • Andreas Roth, Thomas Liebig
Our framework can be combined with any spatio-temporal Graph Neural Network, that exploits spatio-temporal correlations with surrounding observed locations by using the network's graph structure.
no code implementations • 4 Oct 2022 • Alexander Becker, Thomas Liebig
Data protection regulations like the GDPR or the California Consumer Privacy Act give users more control over the data that is collected about them.
1 code implementation • 23 Aug 2022 • Alexander Becker, Thomas Liebig
There has been a growing interest in Machine Unlearning recently, primarily due to legal requirements such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act.
1 code implementation • 1 Jul 2022 • Andreas Roth, Thomas Liebig
Popular graph neural networks are shallow models, despite the success of very deep architectures in other application domains of deep learning.
no code implementations • 21 May 2019 • Xiaoting Shao, Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Thomas Liebig, Kristian Kersting
In contrast, deep probabilistic models such as sum-product networks (SPNs) capture joint distributions in a tractable fashion, but still lack the expressive power of intractable models based on deep neural networks.
no code implementations • 23 Apr 2019 • Benjamin Sliwa, Robert Falkenberg, Thomas Liebig, Nico Piatkowski, Christian Wietfeld
The exploitation of vehicles as mobile sensors acts as a catalyst for novel crowdsensing-based applications such as intelligent traffic control and distributed weather forecast.
Networking and Internet Architecture
no code implementations • 10 Jan 2019 • Benjamin Sliwa, Thomas Liebig, Tim Vranken, Michael Schreckenberg, Christian Wietfeld
While the development of fully autonomous vehicles is one of the major research fields in the Intelligent Transportation Systems (ITSs) domain, the upcoming longterm transition period - the hybrid vehicular traffic - is often neglected.
Networking and Internet Architecture
no code implementations • 17 May 2018 • Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld
While cars were only considered as means of personal transportation for a long time, they are currently transcending to mobile sensor nodes that gather highly up-to-date information for crowdsensing-enabled big data services in a smart city context.
Networking and Internet Architecture
1 code implementation • 10 Jan 2018 • Benjamin Sliwa, Thomas Liebig, Robert Falkenberg, Johannes Pillmann, Christian Wietfeld
Upcoming 5G-based communication networks will be confronted with huge increases in the amount of transmitted sensor data related to massive deployments of static and mobile Internet of Things (IoT) systems.
Networking and Internet Architecture