Projects
Deciphering enhancer logic of cell fate decisions during human neural tube and neural crest development, using single-cell multi-omics and machine learning. KU Leuven
Precise, robust and evolutionary conserved mechanisms underlie the ontogeny of cellular identities. Enhancers play a major role in this, by regulating the expression of key factors involved in cell fate decisions in a precise temporal (i.e. at a specific point of time) and spatial (i.e. in specific cell types) manner. The properties of enhancers have been vastly documented, still the fundamental molecular mechanisms (i.e. enhancer logic) ...
Expert deep learning in the human brain: a cognetive computational neuroscience perspective KU Leuven
The human mind has been trained intensively in a wide variety of
complex information processing tasks. In addition, many individuals
develop expertise in specific domains such as chess or microscopy.
Previous studies have supported the hypothesis that expert learners
do not develop super-powers, such as a larger working-memory
capacity, but instead develop a more efficient information processing
that is domain ...
Intelligent Neural Systems as InteGrated Heritage Tools (INSIGHT). University of Antwerp
INSIGHT: Intelligent neural systems as integrated heritage instruments Ghent University
Many cultural heritage collections are nowadays going through a phase of mass-digitization, whereby heritage objects are digitized, catalogued and published at an unprecedented scale using computational means. This process is challenging because of the rapid pace at which it progresses: the digitization of cultural artefacts itself is already an expensive, and time-consuming process and yet, in the end, it only yields low-level data (e.g. ...
Deep Learning for Natural Language Processing KU Leuven
As the amount of unstructured text data grows dramatically, the need to intelligently process those text data and extract different types of knowledge from it is also remarkably increasing. One of the goals in natural language processing is to develop general and scalable methods that have the ability to jointly solve tasks like extracting information from big unstructured data, sentiment analysis in social networks and grammatical analysis ...
Function Norms for Neural Networks: Theory and Applications KU Leuven
Deep Neural Networks (DNNs) have shown to be one of the most powerful tool for large-scale machine learning applications. The recent years have witnessed an explosion in the number of applications and successes of these models, ranging from image recognition and segmentation to text and speech understanding and generation. However, our theoretical understanding of these models is fairly limited in comparison to this significant leap in ...
Spiking neural networks: towards artificial intelligence at the edge. University of Antwerp
Deep learning prediction and hindsight of flare initiation - DELPHI KU Leuven
Solar flares are explosive energy release events in active regions on the Sun that emit extensive radiation in a very broad range of wavelengths. Through the acceleration of high energy particles and emission of strong radiation, they have a significant impact on Earth. They can present a radiation hazard for astronauts and pilots, they can damage spacecraft and satellites electronics, they can affect radio communications and GPS signals. But ...