147 citations
- Technical University of DenmarkDK4 papers
- Aarhus UniversityDK2 papers
- Atos (Spain)ES1 paper
- Boston UniversityUS1 paper
- Digital Catapult (United Kingdom)GB1 paper
- Lola InstituteRS1 paper
- MIT Computer Science and Artificial Intelligence LaboratoryUS1 paper
- NEC (Germany)DE1 paper
- Novo Nordisk (Denmark)DK1 paper
- Universidad de CantabriaES1 paper
- University of BelgradeRS1 paper
- University of CopenhagenDK1 paper
8 papers
Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving Linear Elasticity Problems
Matteo Calafà, Emil Hovad, Allan P. Engsig-Karup +1
We propose physics-informed holomorphic neural networks (PIHNNs) as a method to solve boundary value problems where the solution can be represented via holomorphic functions. Speci…
Classification of Tennis Actions Using Deep Learning
Emil Hovad, Therese Hougaard-Jensen, Line Katrine Harder Clemmensen
Recent advances of deep learning makes it possible to identify specific events in videos with greater precision. This has great relevance in sports like tennis in order to e.g., au…
Coherent energy and force uncertainty in deep learning force fields
Peter Bjørn Jørgensen, Jonas Busk, Ole Winther +1
In machine learning energy potentials for atomic systems, forces are commonly obtained as the negative derivative of the energy function with respect to atomic positions. To quanti…
A Holistic Approach to Enhanced Security and Privacy in Digital Health Passports
Tore Kasper Frederiksen
As governments around the world decide to deploy digital health passports as a tool to curb the spread of Covid-19, it becomes increasingly important to consider how these can be c…
The Danish Gigaword Project
Leon Strømberg-Derczynski, Manuel R. Ciosici, Rebekah Baglini +12
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers. This paper describes the Danish Gigaword Corpus, the result of a f…
Smart City IoT Services Creation through Large Scale Collaboration
Flavio Cirillo, David Gómez, Luis Diez +3
Smart cities solutions are often monolithically implemented, from sensors data handling through to the provided services. The same challenges are regularly faced by different devel…