4 papers
(MPO): Multivariate Polynomial Optimization based on Matrix Product Operators
Niccolò Ciolli, Anders Vestergaard Nørskov, Michael Kastoryano +2
Central to machine learning and signal processing is the ability to perform universal function approximation and learn complex input-output relationships from limited numbers of ob…
Estimating the Event-Related Potential from Few EEG Trials
Anders Vestergaard Nørskov, Kasper Jørgensen, Alexander Neergaard Zahid +1
Event-related potentials (ERP) are measurements of brain activity with wide applications in basic and clinical neuroscience, that are typically estimated using the average of many…
Modeling roles and trade-offs in multiplex networks
Nikolaos Nakis, Sune Lehmann, Nicholas A. Christakis +1
A multiplex social network captures multiple types of social relations among the same set of people, with each layer representing a distinct type of relationship. Understanding the…
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings
Nikolaos Nakis, Niels Raunkjær Holm, Andreas Lyhne Fiehn +1
Low-dimensional embeddings are essential for machine learning tasks involving graphs, such as node classification, link prediction, community detection, network visualization, and…