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- KU LeuvenBE24 papers
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13 papers · 1 filter
FISTA-Condat-Vu: Automatic Differentiation for Hyperparameter Learning in Variational Models
Patricio Guerrero, Simon Bellens, Wim Dewulf
Motivated by industrial computed tomography, we propose a memory efficient strategy to estimate the regularization hyperparameter of a non-smooth variational model. The approach is…
From Instantaneous to Predictive Control: A More Intuitive and Tunable MPC Formulation for Robot Manipulators
Johan Ubbink, Ruan Viljoen, Erwin Aertbeliën +2
Model predictive control (MPC) has become increasingly popular for the control of robot manipulators due to its improved performance compared to instantaneous control approaches. H…
Surface plasmon resonance sensor based on a novel prism for the detection of a broad range of polymers
Natalia A. Gutierrez Andrade, Yunfeng Nie, Wendy Meulebroeck +1
Microplastics are pervasive pollutants that pose threats to the environment and human health. Detecting them reliably represents a crucial step toward finding solutions. While trad…
Reference Dataset and Benchmark for Reconstructing Laser Parameters from On-axis Video in Powder Bed Fusion of Bulk Stainless Steel
Cyril Blanc, Ayyoub Ahar, Kurt De Grave
We present RAISE-LPBF, a large dataset on the effect of laser power and laser dot speed in powder bed fusion (LPBF) of 316L stainless steel bulk material, monitored by on-axis 20k…
PRoGS: Progressive Rendering of Gaussian Splats
Brent Zoomers, Maarten Wijnants, Ivan Molenaers +4
Over the past year, 3D Gaussian Splatting (3DGS) has received significant attention for its ability to represent 3D scenes in a perceptually accurate manner. However, it can requir…
Model-Driven Engineering for Quantum Programming: A Case Study on Ground State Energy Calculation
Furkan Polat, Hasan Tuncer, Armin Moin +1
This study introduces a novel framework that brings together two main Quantum Programming methodologies, gate-based Quantum Computing and Quantum Annealing, by applying the Model-D…