227 citations
- KU LeuvenBE24 papers
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16 papers · 1 filter
Anderson Accelerated Feasible Sequential Linear Programming
David Kiessling, Pieter Pas, Alejandro Astudillo +2
This paper proposes an accelerated version of Feasible Sequential Linear Programming (FSLP): the AA()-FSLP algorithm. FSLP preserves feasibility in all intermediate iterates by…
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry
Steven Moonen, Bram Vanherle, Joris de Hoog +3
The use of computer vision for product and assembly quality control is becoming ubiquitous in the manufacturing industry. Lately, it is apparent that machine learning based solutio…
Validating Streaming JSON Documents with Learned VPAs
Véronique Bruyère, Guillermo A. Perez, Gaëtan Staquet
We present a new streaming algorithm to validate JSON documents against a set of constraints given as a JSON schema. Among the possible values a JSON document can hold, objects are…
RMLStreamer-SISO: an RDF stream generator from streaming heterogeneous data
Sitt Min Oo, Gerald Haesendonck, Ben De Meester +1
Stream-reasoning query languages such as CQELS and C-SPARQL enable query answering over RDF streams. Unfortunately, there currently is a lack of efficient RDF stream generators to…
Real-time Detection of 2D Tool Landmarks with Synthetic Training Data
Bram Vanherle, Jeroen Put, Nick Michiels +1
In this paper a deep learning architecture is presented that can, in real time, detect the 2D locations of certain landmarks of physical tools, such as a hammer or screwdriver. To…
MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat
Jörg Christian Kirchhof, Evgeny Kusmenko, Jonas Ritz +5
In this paper, we propose to adopt the MDE paradigm for the development of Machine Learning (ML)-enabled software systems with a focus on the Internet of Things (IoT) domain. We il…