1 citations · 1 across the 3 of their papers we have counts for
3 papers
Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations
Jae Yong Lee, Steffen Schotthöfer, Tianbai Xiao +2
This work explores the application of deep operator learning principles to a problem in statistical physics. Specifically, we consider the linear kinetic equation, consisting of a…
A Fully Parallelized and Budgeted Multi-Level Monte Carlo Method and the Application to Acoustic Waves
Niklas Baumgarten, Sebastian Krumscheid, Christian Wieners
We present a novel variant of the multi-level Monte Carlo method that effectively utilizes a reserved computational budget on a high-performance computing system to minimize the me…
A new framework for extracting coarse-grained models from time series with multiscale structure
Serafim Kalliadasis, Sebastian Krumscheid, Grigorios A. Pavliotis
In many applications it is desirable to infer coarse-grained models from observational data. The observed process often corresponds only to a few selected degrees of freedom of a h…