research
∙
08/31/2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks
Our study reveals new theoretical insights into over-smoothing and featu...
share
research
∙
08/31/2023
Curvature-based Pooling within Graph Neural Networks
Over-squashing and over-smoothing are two critical issues, that limit th...
research
∙
01/15/2023
Distributed LSTM-Learning from Differentially Private Label Proportions
Data privacy and decentralised data collection has become more and more ...
research
∙
12/27/2022
LOSDD: Leave-Out Support Vector Data Description for Outlier Detection
Support Vector Machines have been successfully used for one-class classi...
research
∙
11/21/2022
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks
Forecasting future states of sensors is key to solving tasks like weathe...
research
∙
10/04/2022
Certified Data Removal in Sum-Product Networks
Data protection regulations like the GDPR or the California Consumer Pri...
research
∙
08/23/2022
Evaluating Machine Unlearning via Epistemic Uncertainty
There has been a growing interest in Machine Unlearning recently, primar...
research
∙
07/01/2022
Transforming PageRank into an Infinite-Depth Graph Neural Network
Popular graph neural networks are shallow models, despite the success of...
research
∙
05/21/2019
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures
Bayesian networks are a central tool in machine learning and artificial ...
research
∙
04/23/2019
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction
The exploitation of vehicles as mobile sensors acts as a catalyst for no...
research
∙
04/10/2019
Charging control of electric vehicles using contextual bandits considering the electrical distribution grid
With the proliferation of electric vehicles, the electrical distribution...
research
∙
04/10/2019
Knowledge Discovery on Blockchains: Challenges and Opportunities
We study the applicability of blockchain technology for distributed even...
research
∙
01/10/2019
System-of-Systems Modeling, Analysis and Optimization of Hybrid Vehicular Traffic
While the development of fully autonomous vehicles is one of the major r...
research
∙
05/17/2018
Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks
While cars were only considered as means of personal transportation for ...
research
∙
04/16/2018
Resource-efficient Transmission of Vehicular Sensor Data Using Context-aware Communication
Upcoming Intelligent Traffic Control Systems (ITSCs) will base their opt...
research
∙
01/10/2018
