152 citations
- Centre National de la Recherche ScientifiqueFR30 papers
- Université Paris Sciences et LettresFR21 papers
- Université Paris-SaclayFR18 papers
- ParisTechFR10 papers
- Safran Electronics (Canada)CA10 papers
- Centre des MatériauxFR8 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR5 papers
- École PolytechniqueFR5 papers
- Institut national de recherche en sciences et technologies du numériqueFR5 papers
- Sorbonne UniversitéFR5 papers
- Airbus (France)FR4 papers
- CEA Paris-SaclayFR4 papers
83 papers
A ready-to-deploy MLOps software platform for satellite and NEO detection at meter-class ground-based observatories
Rafael Carrillo Navarro, Pablo García-Martín, René Duffard +2
Ground-based astronomical observations frequently contain streaks produced by artificial satellites, space debris, and potentially Near-Earth Objects (NEOs). While machine-learning…
The science and practice of proportionality in AI risk evaluations
Carlos Mougan, Lauritz Morlock, Jair Aguirre +19
A global challenge in artificial intelligence (AI) regulation lies in achieving effective risk management without compromising innovation and technical progress. The European Union…
I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
Lucas Thil, Jesse Read, Rim Kaddah +1
Accurate remaining useful life (RUL) prediction hinges on the quality of health indicators (HIs), yet existing methods often fail to disentangle complex degradation mechanisms in m…
The PhasorArray Toolbox for Harmonic Analysis and Control Design
Maxime Grosso, Pierre Riedinger, Jamal Daafouz
We present a MATLAB package called the Pha-sorArray Toolbox that has been developed to make harmonic analysis and control methods both practical and user-friendly. The toolbox adop…
Foundation Models and Transformers for Anomaly Detection: A Survey
Mouïn Ben Ammar, Arturo Mendoza, Nacim Belkhir +2
In line with the development of deep learning, this survey examines the transformative role of Transformers and foundation models in advancing visual anomaly detection (VAD). We ex…
A new Surrogate Microstructure Generator for Porous Materials with Applications to the Buffer Layer of TRISO Nuclear Fuel Particles
Philipp Eisenhardt, Ustim Khristenko, Barbara Wohlmuth +1
We present a surrogate material model for generating microstructure samples reproducing the morphology of the real material. The generator is based on Gaussian random fields, with…