3 citations · 4 across the 3 of their papers we have counts for
3 papers
math.NA2024★ 3 cited
Windowing Regularization Techniques for Unsteady Aerodynamic Shape Optimization
Steffen Schotthöfer, Beckett Y. Zhou, Tim Albring +1
Unsteady Aerodynamic Shape Optimization presents new challenges in terms of sensitivity analysis of time-dependent objective functions. In this work, we consider periodic unsteady…
cs.LG2024★ 1 cited
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees
Steffen Schotthöfer, M. Paul Laiu
In this work, we propose a federated dynamical low-rank training (FeDLRT) scheme to reduce client compute and communication costs - two significant performance bottlenecks in horiz…
math.NA2024
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…