907 citations
- University College LondonGB4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Palo Alto Research CenterUS3 papers
- ETH ZurichCH2 papers
- Georgia Institute of TechnologyUS2 papers
- IBM Research - IndiaIN2 papers
- Indian Institute of Science BangaloreIN2 papers
- Translational Innovation in Medicine and ComplexityFR2 papers
- Université de MontréalCA2 papers
- Université Joseph FourierFR2 papers
- University of OxfordGB2 papers
- Aberystwyth UniversityGB1 paper
61 papers
Abinit 2025: New Capabilities for the Predictive Modeling of Solids and Nanomaterials
Matthieu J. Verstraete, Joao Abreu, Guillaume E. Allemand +71
Abinit is a widely used scientific software package implementing density functional theory and many related functionalities for excited states and response properties. This paper p…
Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines
Lucas Thil, Jesse Read, Rim Kaddah +1
Health Indicators (HIs) are essential for predicting system failures in predictive maintenance. While methods like RaPP (Reconstruction along Projected Pathways) improve traditiona…
Affine Frequency Division Multiplexing (AFDM) for 6G: Properties, Features, and Challenges
Hyeon Seok Rou, Kuranage Roche Rayan Ranasinghe, Vincent Savaux +3
Affine frequency division multiplexing (AFDM) is an emerging waveform candidate for future sixth generation (6G) systems offering a range of promising features, such as enhanced ro…
Distributed Risk-Sensitive Safety Filters for Uncertain Discrete-Time Systems
Armin Lederer, Erfaun Noorani, Andreas Krause
Ensuring safety in multi-agent systems is a significant challenge, particularly in settings where centralized coordination is impractical. In this work, we propose a novel risk-sen…
Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space
Clémentine Phung-Ngoc, Alexandre Bousse, Antoine De Paepe +6
Attenuation correction (AC) is necessary for accurate activity quantification in positron emission tomography (PET). Conventional reconstruction methods typically rely on attenuati…
Accessible and Pedagogically-Grounded Explainability for Human-Robot Interaction: A Framework Based on UDL and Symbolic Interfaces
Francisco J. Rodríguez Lera, Raquel Fernández Hernández, Sonia Lopez González +3
This paper presents a novel framework for accessible and pedagogically-grounded robot explainability, designed to support human-robot interaction (HRI) with users who have diverse…