4 citations
- University of BergenNO2 papers
- CEA DAM Île-de-FranceFR1 paper
- Centre d'Études et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'AménagementFR1 paper
- Centre Inria de SaclayFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- École PolytechniqueFR1 paper
- Febus Optics (France)FR1 paper
- GéoazurFR1 paper
- Georgia Institute of TechnologyUS1 paper
- Hong Kong University of Science and TechnologyHK1 paper
- Institut des Sciences de la TerreFR1 paper
7 papers
Optimal Spectral Inequality for the Higher-Dimensional Landau Operator
Sedef Özcan, Matthias Täufer
We prove optimal spectral inequalities for Landau operators in full space and in arbitrary dimension. Spectral inequalities are lower bounds on the L 2 -mass of functions in spectr…
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
Junyu Luo, Bohan Wu, Xiao Luo +8
Post-training of Large Language Models (LLMs) is crucial for unlocking their task generalization potential and domain-specific capabilities. However, the current LLM post-training…
Tracking the normal modes of an overpass highway bridge using Distributed Acoustic Sensing
E. Diego Mercerat, Martijn P. A. van den Ende, Anthony Sladen +6
Distributed Acoustic Sensing (DAS) of ambient vibrations is a promising technique in the context of structural health monitoring of civil engineering structures. The methodology us…
Large smooth twins from short lattice vectors
Erik Mulder, Bruno Sterner, Wessel van Woerden
Finding the largest pair of consecutive -smooth integers is computationally challenging. Current algorithms to find such pairs have an exponential runtime -- which has only be p…
Modified Black Hole Potentials and Their Korteweg-de Vries Integrals: Instabilities and Beyond
Michele Lenzi, Arnau Montava Agudo, Carlos F. Sopuerta
Black Hole (BH) Quasi-Normal Modes (QNMs) and Greybody Factors (GBFs) are key signatures of BH dynamics that are crucial for testing fundamental physics via gravitational waves. Re…
Confusion-driven machine learning of structural phases of a flexible, magnetic Stockmayer polymer
Dilina Perera, Samuel McAllister, Joan Josep Cerdà +1
We use a semi-supervised, neural-network based machine learning technique, the confusion method, to investigate structural transitions in magnetic polymers, which we model as chain…