1 citations · 1 across the 2 of their papers we have counts for
3 papers
Meta-Learning Fourier Neural Operators for Hessian Inversion and Enhanced Variational Data Assimilation
Hamidreza Moazzami, Asma Jamali, Nicholas Kevlahan +1
Data assimilation (DA) is crucial for enhancing solutions to partial differential equations (PDEs), such as those in numerical weather prediction, by optimizing initial conditions…
LivePyxel: Accelerating image annotations with a Python-integrated webcam live streaming
Uriel Garcilazo-Cruz, Joseph O. Okeme, Rodrigo A. Vargas-Hernández
The lack of flexible annotation tools has hindered the deployment of AI models in some scientific areas. Most existing image annotation software requires users to upload a precolle…
Scalable Bayesian Optimization for High-Dimensional Coarse-Grained Model Parameterization
Carlos A. Martins Junior, Daniela A. Damasceno, Keat Yung Hue +3
Coarse-grained (CG) force field models are extensively utilised in material simulations due to their scalability. Traditionally, these models are parameterized using hybrid strateg…