From the 1 of 10 papers with an AI index.
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- Maxwell Institute for Mathematical SciencesGB5 papers
- Heriot-Watt University MalaysiaMY2 papers
- Jilin Province Science and Technology DepartmentCN2 papers
- Jilin UniversityCN2 papers
- Université de LilleFR2 papers
- University of TrentoIT2 papers
- Centre de Recherche en InformatiqueFR1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- École Centrale de LilleFR1 paper
- Fudan UniversityCN1 paper
- Imperial College LondonGB1 paper
10 papers
Bounded cohomology, quotient extensions, and hierarchical hyperbolicity
Francesco Fournier-Facio, Giorgio Mangioni, Alessandro Sisto
The authors introduce bounded central extensions (those whose Euler class is represented by a bounded cocycle) and prove that such extensions of hierarchically hyperbolic groups (H…
Semi-discrete convex order and Laguerre tessellation fitting
David P. Bourne, Thomas Gallouët, Quentin Mérigot +1
Laguerre tessellations offer an efficient way to parameterize a large class of convex partitions of Euclidean space using only a set of points and scalar weights. For this reason,…
A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems
Maxime Bouton, Pierre-Antoine Thouvenin, Audrey Repetti +1
Markov Chain Monte Carlo (MCMC) algorithms are standard approaches to solve imaging inverse problems and quantify estimation uncertainties, a key requirement in absence of ground-t…
Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach
Nathalie C. Pinheiro, Donghu Guo, Hannah P. Menke +4
Modelling rock-fluid interaction requires solving a set of partial differential equations (PDEs) to predict the flow behaviour and the reactions of the fluid with the rock on the i…
Semi-discrete optimal transport techniques for the compressible semi-geostrophic equations
David P. Bourne, Charlie P. Egan, Théo Lavier +1
We prove existence of weak solutions of the 3D compressible semi-geostrophic (SG) equations with compactly supported measure-valued initial data. These equations model large-scale…
TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning
Xiaosong Han, Ke Chen, Xindi Dai +7
In real-world deployment, LLMs are often adapted continually across tasks to keep LLMs up-to-date in production, where new fine-tuning should preserve previously learned skills. Ho…