Eric C. Cyr

58 papers A* 1Misc 1Journal 49Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Layer-Parallel Training for Transformers.
CoRR
Shuai Jiang, Marc Salvadó-Benasco, Eric C. Cyr, Alena Kopanicáková, Rolf Krause, Jacob B. Schroder
2026 J jnl
Multilevel Training for Kolmogorov Arnold Networks.
CoRR
Ben S. Southworth, Jonas A. Actor, Graham Harper, Eric C. Cyr
2026 J jnl
On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime.
CoRR
Shuai Jiang, Alexey Voronin, Eric C. Cyr, Ben S. Southworth
2025 J jnl
DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUs.
IEEE Access
Corné Verburg, Alexander Heinlein, Eric C. Cyr
2025 J jnl
Domain-Decomposed Graph Neural Network Surrogate Modeling for Ice Sheets.
CoRR
Adrienne M. Propp, Mauro Perego, Eric C. Cyr, Anthony Gruber, Amanda A. Howard, Alexander Heinlein, Panos Stinis, Daniel M. Tartakovsky
2025 J jnl
Graph Neural Networks and Applied Linear Algebra.
SIAM Rev.
Nicholas S. Moore, Eric C. Cyr, Peter Ohm, Christopher M. Siefert, Raymond S. Tuminaro
2025 J jnl
Interpreting Transformer Architectures as Implicit Multinomial Regression.
CoRR
Jonas A. Actor, Anthony Gruber, Eric C. Cyr
2025 J jnl
Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement.
CoRR
Jonas A. Actor, Graham Harper, Ben S. Southworth, Eric C. Cyr
2025 J jnl
Parallel-in-Time Solution of Allen-Cahn Equations by Integrating Operator Learning into the Parareal Method.
CoRR
Yuwei Geng, Junqi Yin, Eric C. Cyr, Guannan Zhang, Lili Ju
2025 J jnl
TorchBraid: High-Performance Layer-Parallel Training of Deep Neural Networks with MPI and GPU Acceleration.
ACM Trans. Math. Softw.
Eric C. Cyr, Jens Hahne, Nicholas S. Moore, Jacob B. Schroder, Ben S. Southworth, David A. Vargas
2024 J jnl
An implicit-in-time DPG formulation of the 1D1V Vlasov-Poisson equations.
Comput. Math. Appl.
Nathan V. Roberts, Sean T. Miller, Stephen D. Bond, Eric C. Cyr
2024 J jnl
DDU-Net: A Domain Decomposition-based CNN for High-Resolution Image Segmentation on Multiple GPUs.
CoRR
Corné Verburg, Alexander Heinlein, Eric C. Cyr
2024 J jnl
Gaussian Variational Schemes on Bounded and Unbounded Domains.
CoRR
Jonas A. Actor, Anthony Gruber, Eric C. Cyr, Nathaniel Trask
2024 J jnl
Special Section: 2023 Copper Mountain Conference.
SIAM J. Sci. Comput.
Eric C. Cyr, Scott P. MacLachlan
2024 — conf
Spiking Physics-Informed Neural Networks on Loihi 2.
NICE
Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis
2023 J jnl
A 2-Level Domain Decomposition Preconditioner for KKT Systems with Heat-Equation Constraints.
CoRR
Eric C. Cyr
2023 J jnl
Graph Neural Networks and Applied Linear Algebra.
CoRR
Nicholas S. Moore, Eric C. Cyr, Peter Ohm, Christopher M. Siefert, Raymond S. Tuminaro
2022 — conf
Hierarchical partition of unity networks: fast multilevel training.
MSML
Nathaniel Trask, Amelia Henriksen, Carianne Martinez, Eric C. Cyr
2022 J jnl
Neural-network based collision operators for the Boltzmann equation.
J. Comput. Phys.
Sean T. Miller, Nathan V. Roberts, Stephen D. Bond, Eric C. Cyr
2022 A* conf
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences.
ICLR
Euhyun Moon, Eric C. Cyr
2022 J jnl
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences.
CoRR
Gordon Euhyun Moon, Eric C. Cyr
2022 J jnl
Thermodynamically consistent physics-informed neural networks for hyperbolic systems.
J. Comput. Phys.
Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr
2021 — conf
A Block Coordinate Descent Optimizer for Classification Problems Exploiting Convexity.
AAAI Spring Symposium: MLPS
Ravi G. Patel, Nathaniel Trask, Mamikon A. Gulian, Eric C. Cyr
2021 J jnl
A Monolithic Algebraic Multigrid Framework for Multiphysics Applications with Examples from Resistive MHD.
CoRR
Peter Ohm, Tobias A. Wiesner, Eric C. Cyr, Jonathan J. Hu, John N. Shadid, Raymond S. Tuminaro
2021 J jnl
Monolithic Multigrid Methods for Magnetohydrodynamics.
SIAM J. Sci. Comput.
James H. Adler, Thomas R. Benson, Eric C. Cyr, Patrick E. Farrell, Scott P. MacLachlan, Ray S. Tuminaro
2021 — conf
Partition of Unity Networks: Deep HP-Approximation.
AAAI Spring Symposium: MLPS
Kookjin Lee, Nathaniel Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
2021 J jnl
Partition of unity networks: deep hp-approximation.
CoRR
Kookjin Lee, Nathaniel A. Trask, Ravi G. Patel, Mamikon A. Gulian, Eric C. Cyr
2021 J jnl
Reduced Basis Approximations of Parameterized Dynamical Partial Differential Equations via Neural Networks.
CoRR
Peter Sentz, Kristian Beckwith, Eric C. Cyr, Luke N. Olson, Ravi G. Patel
2020 J jnl
A block coordinate descent optimizer for classification problems exploiting convexity.
CoRR
Ravi G. Patel, Nathaniel A. Trask, Mamikon A. Gulian, Eric C. Cyr
2020 J jnl
A linearity preserving nodal variation limiting algorithm for continuous Galerkin discretization of ideal MHD equations.
J. Comput. Phys.
Sibusiso Mabuza, John N. Shadid, Eric C. Cyr, Roger P. Pawlowski, Dmitri Kuzmin
2020 J jnl
A physics-informed operator regression framework for extracting data-driven continuum models.
CoRR
Ravi G. Patel, Nathaniel A. Trask, Mitchell A. Wood, Eric C. Cyr
2020 J jnl
Layer-Parallel Training of Deep Residual Neural Networks.
SIAM J. Math. Data Sci.
Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger
2020 J jnl
Monolithic Multigrid for Magnetohydrodynamics.
CoRR
J. H. Adler, Thomas R. Benson, Eric C. Cyr, Patrick E. Farrell, Scott P. MacLachlan, Ray S. Tuminaro
2020 J jnl
Regular sensitivity computation avoiding chaotic effects in particle-in-cell plasma methods.
J. Comput. Phys.
Seung Whan Chung, Stephen D. Bond, Eric C. Cyr, Jonathan B. Freund
2020 — conf
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint.
MSML
Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
2020 J jnl
Thermodynamically consistent physics-informed neural networks for hyperbolic systems.
CoRR
Ravi G. Patel, Indu Manickam, Nathaniel A. Trask, Mitchell A. Wood, Myoungkyu Lee, Ignacio Tomas, Eric C. Cyr
2019 J jnl
IMEX and exact sequence discretization of the multi-fluid plasma model.
J. Comput. Phys.
Sean T. Miller, Eric C. Cyr, John N. Shadid, Richard M. J. Kramer, Edward G. Phillips, Sidafa Conde, Roger P. Pawlowski
2019 J jnl
Multilevel Initialization for Layer-Parallel Deep Neural Network Training.
CoRR
Eric C. Cyr, Stefanie Günther, Jacob B. Schroder
2019 J jnl
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint.
CoRR
Eric C. Cyr, Mamikon A. Gulian, Ravi G. Patel, Mauro Perego, Nathaniel A. Trask
2018 J jnl
Layer-Parallel Training of Deep Residual Neural Networks.
CoRR
Stefanie Günther, Lars Ruthotto, Jacob B. Schroder, Eric C. Cyr, Nicolas R. Gauger
2018 J jnl
Performance of fully-coupled algebraic multigrid preconditioners for large-scale VMS resistive MHD.
J. Comput. Appl. Math.
Paul T. Lin, John N. Shadid, Jonathan J. Hu, Roger P. Pawlowski, Eric C. Cyr
2018 J jnl
Scalable Preconditioners for Structure Preserving Discretizations of Maxwell Equations in First Order Form.
SIAM J. Sci. Comput.
Edward G. Phillips, John N. Shadid, Eric C. Cyr
2016 J jnl
Block Preconditioners for Stable Mixed Nodal and Edge finite element Representations of Incompressible Resistive MHD.
SIAM J. Sci. Comput.
Edward G. Phillips, John N. Shadid, Eric C. Cyr, Howard C. Elman, Roger P. Pawlowski
2016 J jnl
Monolithic Multigrid Methods for Two-Dimensional Resistive Magnetohydrodynamics.
SIAM J. Sci. Comput.
James H. Adler, Thomas R. Benson, Eric C. Cyr, Scott P. MacLachlan, Raymond S. Tuminaro
2016 J jnl
Stabilized FE simulation of prototype thermal-hydraulics problems with integrated adjoint-based capabilities.
J. Comput. Phys.
John N. Shadid, Thomas M. Smith, Eric C. Cyr, Tim Wildey, Roger P. Pawlowski
2016 J jnl
Teko: A Block Preconditioning Capability with Concrete Example Applications in Navier-Stokes and MHD.
SIAM J. Sci. Comput.
Eric C. Cyr, John N. Shadid, Raymond S. Tuminaro
2015 J jnl
A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics.
J. Comput. Phys.
David Sondak, John N. Shadid, Assad A. Oberai, Roger P. Pawlowski, Eric C. Cyr, Thomas M. Smith
2014 J jnl
A Block Preconditioner for an Exact Penalty Formulation for Stationary MHD.
SIAM J. Sci. Comput.
Edward G. Phillips, Howard C. Elman, Eric C. Cyr, John N. Shadid, Roger P. Pawlowski
2014 J jnl
Approaches for Adjoint-Based A Posteriori Analysis of Stabilized Finite Element Methods.
SIAM J. Sci. Comput.
Eric C. Cyr, John N. Shadid, Tim Wildey
2014 J jnl
Enhancing Least-Squares Finite Element Methods Through a Quantity-of-Interest.
SIAM J. Numer. Anal.
Jehanzeb Hameed Chaudhry, Eric C. Cyr, Kuo Liu, Thomas A. Manteuffel, Luke N. Olson, Lei Tang
2014 — conf
Towards Extreme-Scale Simulations with Next-Generation Trilinos: A Low Mach Fluid Application Case Study.
IPDPS Workshops
Paul T. Lin, Matthew T. Bettencourt, Stefan Domino, Travis Fisher, Mark Hoemmen, Jonathan J. Hu, Eric T. Phipps, Andrey Prokopenko, Sivasankaran Rajamanickam, Christopher M. Siefert, Eric C. Cyr, Stephen Kennon
2013 J jnl
A New Approximate Block Factorization Preconditioner for Two-Dimensional Incompressible (Reduced) Resistive MHD.
SIAM J. Sci. Comput.
Eric C. Cyr, John N. Shadid, Raymond S. Tuminaro, Roger P. Pawlowski, Luis Chacón
2012 J jnl
Goal-Oriented Adaptivity and Multilevel Preconditioning for the Poisson-Boltzmann Equation.
J. Sci. Comput.
Burak Aksoylu, Stephen D. Bond, Eric C. Cyr, Michael J. Holst
2012 J jnl
Stabilization and scalable block preconditioning for the Navier-Stokes equations.
J. Comput. Phys.
Eric C. Cyr, John N. Shadid, Raymond S. Tuminaro
2010 J jnl
A first-order system least-squares finite element method for the Poisson-Boltzmann equation.
J. Comput. Chem.
Stephen D. Bond, Jehanzeb Hameed Chaudhry, Eric C. Cyr, Luke N. Olson
2008 — —
Numerical Methods for Computing the Free Energy of Coarse-Grained Molecular Systems
Eric C. Cyr
2007 J jnl
Using the method of weighted residuals to compute potentials of mean force.
J. Comput. Phys.
Eric C. Cyr, Stephen D. Bond
2002 Misc conf
Using Design Patterns and XML to Construct an Extensible Finite Element System.
International Conference on Computational Science (3)
J. Barr von Oehsen, Christopher L. Cox, Eric C. Cyr, Brian A. Malloy