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Eric C. Cyr

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • physics.comp-ph1
ORCID 0000-0003-3833-9598

identity via Semantic Scholar / OpenAlex

most citedA new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics

20 citations · 38 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2019★ 1 cited

Multilevel Initialization for Layer-Parallel Deep Neural Network Training

Eric C. Cyr, Stefanie Günther, Jacob B. Schroder

This paper investigates multilevel initialization strategies for training very deep neural networks with a layer-parallel multigrid solver. The scheme is based on the continuous in…

cs.LG2019★ 17 cited

Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint

Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel +2

Motivated by the gap between theoretical optimal approximation rates of deep neural networks (DNNs) and the accuracy realized in practice, we seek to improve the training of DNNs.…

physics.comp-ph2014★ 20 cited

A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics

David Sondak, John N. Shadid, Assad A. Oberai +3

New large eddy simulation (LES) turbulence models for incompressible magnetohydrodynamics (MHD) derived from the variational multiscale (VMS) formulation for finite element simulat…

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