60 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universität TrierDE9 papers
- University of LuxembourgLU4 papers
- Centre Hospitalier de LuxembourgLU2 papers
- Luxembourg Centre for Systems BiomedicineLU2 papers
- University of KaiserslauternDE2 papers
- Arbed (Luxembourg)LU1 paper
- Europlasma (Belgium)BE1 paper
- Foundation for Research and Technology HellasGR1 paper
- Fraunhofer Institute for Industrial MathematicsDE1 paper
- Laboratoire de Mathématiques Jean LerayFR1 paper
- Luxembourg Institute of Science and TechnologyLU1 paper
- Polytechnique MontréalCA1 paper
22 papers
Causal Attribution for Agentic Decisions: Estimators, Coupling, and a Traceability Specification
Ajay Pravin Mahale
A provider of a high-risk AI system must keep records that make a decision traceable, and for agentic systems it has not been established what those records must contain for post-h…
Explanation Multiplicity: Circuit-Level Interpretability Evidence Does Not Survive Defensible Analytic Variation
Ajay Pravin Mahale
The EU AI Act requires providers of high-risk systems to file technical documentation describing how the system reaches its decisions. Mechanistic interpretability is the obvious s…
Mach-Zehnder based Rotational Shearing Interferometer for Non-destructive Testing using Spatial Phase-Shifting Shearography
Valentin-Johannes Bastgen, Michael Schuth, Georg von Freymann
This work introduces a novel optical setup based on a Mach-Zehnder interferometer, enabling spatial phase shifting shearography with rotational shear. The optical concept employs a…
Model-Driven Legacy System Modernization at Scale
Tobias Böhm, Jens Guan Su Tien, Mohini Nonnenmann +3
This experience report presents a model-driven approach to legacy system modernization that inserts an enriched, technology-agnostic intermediate model between the legacy codebase…
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
Jessica Plassmann, Nicolas Schuler, Georg von Freymann +1
Shearography is a non-destructive testing method for detecting subsurface defects, offering high sensitivity and full-field inspection capabilities. However, its industrial adoptio…
From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile Robotics
Nicolas Schuler, Lea Dewald, Nick Baldig +1
Video Understanding, Scene Interpretation and Commonsense Reasoning are highly challenging tasks enabling the interpretation of visual information, allowing agents to perceive, int…
Keeping it Local, Tiny and Real: Automated Report Generation on Edge Computing Devices for Mechatronic-Based Cognitive Systems
Nicolas Schuler, Lea Dewald, Jürgen Graf
Recent advancements in Deep Learning enable hardware-based cognitive systems, that is, mechatronic systems in general and robotics in particular with integrated Artificial Intellig…
Evaluation of LLM-based Strategies for the Extraction of Food Product Information from Online Shops
Christoph Brosch, Sian Brumm, Rolf Krieger +1
Generative AI and large language models (LLMs) offer significant potential for automating the extraction of structured information from web pages. In this work, we focus on food pr…
Manifolds with many small wormholes: norm resolvent and spectral convergence
Colette Anné, Olaf Post
We present results concerning the norm convergence of resolvents for wildperturbations of the Laplace-Beltrami operator. This article is a continuation of ouranalysis on wildly per…
Creation and Evaluation of a Food Product Image Dataset for Product Property Extraction
Christoph Brosch, Alexander Bouwens, Sebastian Bast +2
The enormous progress in the field of artificial intelligence (AI) enables retail companies to automate their processes and thus to save costs. Thereby, many AI-based automation ap…
Likelihood-based Sensor Calibration using Affine Transformation
Rüdiger Machhamer, Lejla Begic Fazlic, Eray Guven +8
An important task in the field of sensor technology is the efficient implementation of adaptation procedures of measurements from one sensor to another sensor of identical design.…
Polarization power spectra and dust cloud morphology
A. Konstantinou, V. Pelgrims, F. Fuchs +1
In the framework of studies of the CMB polarization and its Galactic foregrounds, the angular power spectra of thermal dust polarization maps have revealed an intriguing E/B asymme…
Shape Optimization for the Mitigation of Coastal Erosion via Porous Shallow Water Equations
Luka Schlegel, Volker Schulz
Coastal erosion describes the displacement of land caused by destructive sea waves, currents or tides. Major efforts have been made to mitigate these effects using groynes, breakwa…
EVO-RL: Evolutionary-Driven Reinforcement Learning
Ahmed Hallawa, Thorsten Born, Anke Schmeink +6
In this work, we propose a novel approach for reinforcement learning driven by evolutionary computation. Our algorithm, dubbed as Evolutionary-Driven Reinforcement Learning (evo-RL…
Round-Trip Sketches: Supporting the Lifecycle of Software Development Sketches from Analog to Digital and Back
Sebastian Baltes, Fabrice Hollerich, Stephan Diehl
Sketching is an important activity for understanding, designing, and communicating different aspects of software systems such as their requirements or architecture. Often, sketches…
Multi-Scale Anisotropic Fourth-Order Diffusion Improves Ridge and Valley Localization
Shekoufeh Gorgi Zadeh, Stephan Didas, Maximilian W. M. Wintergerst +1
Ridge and valley enhancing filters are widely used in applications such as vessel detection in medical image computing. When images are degraded by noise or include vessels at diff…
Shape-aware Surface Reconstruction from Sparse 3D Point-Clouds
Florian Bernard, Luis Salamanca, Johan Thunberg +7
The reconstruction of an object's shape or surface from a set of 3D points plays an important role in medical image analysis, e.g. in anatomy reconstruction from tomographic measur…
It's about time: Online Macrotask Sequencing in Expert Crowdsourcing
Heinz Schmitz, Ioanna Lykourentzou
We introduce the problem of Task Assignment and Sequencing (TAS), which adds the timeline perspective to expert crowdsourcing optimization. Expert crowdsourcing involves macrotasks…
Generic boundary behaviour of Taylor series in Hardy and Bergman spaces
Hans-Peter Beise, Jürgen Müller
It is known that, generically, Taylor series of functions holomorphic in the unit disc turn out to be universal series outside of the unit disc and in particular on the unit circle…
A Solution for Multi-Alignment by Transformation Synchronisation
Florian Bernard, Johan Thunberg, Peter Gemmar +3
The alignment of a set of objects by means of transformations plays an important role in computer vision. Whilst the case for only two objects can be solved globally, when multiple…
Towards a Lagrange-Newton approach for PDE constrained shape optimization
Volker H. Schulz, Martin Siebenborn, Kathrin Welker
The novel Riemannian view on shape optimization developed in [Schulz, FoCM, 2014] is extended to a Lagrange-Newton approach for PDE constrained shape optimization problems. The ext…
A contact model for the yielding of caked granular materials
L. Brendel, J. Török, R. Kirsch +1
We present a visco-elastic coupling model between caked spheres, suitable for DEM simulations, which incorporates the different loading mechanisms (tension, shear, bending, torsion…