1 citations · 1 across the 2 of their papers we have counts for
4 papers
Fundamental Limits of Learning High-dimensional Simplices in Noisy Regimes
Seyed Amir Hossein Saberi, Amir Najafi, Abolfazl Motahari +1
In this paper, we establish sample complexity bounds for learning high-dimensional simplices in from noisy data. Specifically, we consider i.i.d. samples uniform…
A restricted additive smoother for finite cell flow problems
M. Saberi, A. Vogel
In this work, we propose an adaptive geometric multigrid method for the solution of large-scale finite cell flow problems. The finite cell method seeks to circumvent the need for a…
Data-driven Stabilization of Nitsche's Method
M. Saberi, L. Zhao, A. Vogel
The weak imposition of essential boundary conditions is an integral aspect of unfitted finite element methods, where the physical boundary does not in general coincide with the com…
Adaptive geometric multigrid for the mixed finite cell formulation of Stokes and Navier-Stokes equations
S. Saberi, G. Meschke, A. Vogel
Unfitted finite element methods have emerged as a popular alternative to classical finite element methods for the solution of partial differential equations and allow modeling arbi…