32 citations · 57 across the 16 of their papers we have counts for
3 papers · 1 filter
Downlink Compression Improves TopK Sparsification
William Zou, Hans De Sterck, Jun Liu
Training large neural networks is time consuming. To speed up the process, distributed training is often used. One of the largest bottlenecks in distributed training is communicati…
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees
Ruikun Zhou, Thanin Quartz, Hans De Sterck +1
Learning for control of dynamical systems with formal guarantees remains a challenging task. This paper proposes a learning framework to simultaneously stabilize an unknown nonline…
Fast multigrid reduction-in-time for advection via modified semi-Lagrangian coarse-grid operators
H. De Sterck, R. D. Falgout, O. A. Krzysik
Many iterative parallel-in-time algorithms have been shown to be highly efficient for diffusion-dominated partial differential equations (PDEs), but are inefficient or even diverge…